[FULL] Aricle 4, Volume 3 Issue 1

Service quality study in the property and casualty insurance market using the Quality Function Deployment methodology

Author

Jordi Escayola

Jesús Tricás

Abstract

The aim of this project is to study the dimensions of service quality in non-life insurance market, applying the Quality Function Deployment (QFD) methodology. To achieve the purpose of the paper, a specific service quality scale was developed to reflect the most important service quality elements in the insurance industry. For the first time in any insurance market or insurance service quality research, the Insurance Service Quality Function Deployment (ISQFD) matrix was developed especially for the insurance sector. Furthermore, the SIQUAL scale has been developed which is specifically designed to analyse service quality in the insurance industry. We interviewed over 300 insurance customers (mainly car and home insurance policy holders) and 17 insurance experts –including company directors, researchers, public institution members, private institution members and consultancy directors from the insurance sector. By applying what we propose in this research study, insurance companies can develop their business and focus their actions on what is more efficient in the long term, increase their customers’ satisfaction and loyalty. This research represents the first QFD analysis in the European insurance market and it is the first study based on a specific service quality scale, establishing a solid basis for future research in insurance service quality.

Keywords

1.      Introduction

Companies use aggressive marketing strategies to attract new customers and to increase their market share at the expense of competitors. They develop defensive strategies to protect their products and markets from the competition by maximizing customer retention under certain cost constraints (Ennew and Binks, 1996; Roberts, 2005). Small increases in the customer retention rate can generate considerable improvement in profitability as the cost of attracting new customers is higher than the cost of retaining new customers (Lombardi, 2005).

In insurance, high retention rates are closely related to the economic performance of companies (Diacon and O’Brien, 2002). A large number of insurers consider retention to be the most important determinant of economic success (Moore and Santomero, 1999).

As in other industries, the selling cost of an insurance policy is not recovered unless the policy is renewed for at least three or four years (Zeithaml et al., 1996). Because loyalty is essential in the insurance business, Shlesinger and Graf von der Shulenburg (1993) suggested that corporate image and service quality influence the customers’ decisions to choose insurers and affect the price customers are prepared to pay for a policy. A moderating variable between service quality/ customer satisfaction and economic performance is loyalty (Tsoukatos and Rand, 2006). Loyalty is the extent to which customers wish to keep their relationship with a supplier, and usually results from how much they believe that the value they receive from this supplier is higher compared to what they would receive from others.

Not all insurance products have the same characteristics, and it is easy to identify differences between life, health, and property and casualty insurance products and services. In property and casualty insurance, the longer customers remain with a company the less likely they are to submit claims (Peppers and Rogers, 2014). According to the points stated above, customers become more profitable over time. The industry considers that understanding customer behavior after the initial purchase will help insurers to maintain longer customer-insurer relationships (Harrison, 2003).

Despite the importance of the Spanish insurance industry, it has been the object of scant attention in business research literature.

It is important to take into consideration the high level of competition in the insurance market – especially as far as property and casualty insurance products are concerned, as they are based on the features of competitive markets (Joskow, 1973).

Because of the fact that an insurance policy is usually characterized by a substantial delay between purchase and use, many of its features are not immediately evident. In most cases, customers will not be fully informed and aware of the exact features of their insurance policy before they actually need to use it, i.e. when they need to file a claim. The most important reason to purchase an insurance policy is the amendment of damages – which may or may not occur in the duration of an insurance contract (Wells and Stafford, 1997; Anderson and Skogh, 2003). This makes the claim settlement procedure the most critical incident of insurances. Only then can customers actually assess the value of the service they bought some time ago. This distinguishes insurance from the majority of services, for which production and consumption occur simultaneously (Zeithaml et al., 1988). As a logical consequence, it is important to consider that not all customers are going to file a claim.

According to Toran (1993), quality should form the basis of all activities involved in the insurance industry, because customers want higher quality service through responsive agents with better contact and personalized communications from the insurer. Accurate transactions and quickly solved problems are also services expected by customers (Pointek, 1992).

Taylor (2001), in his study on service recovery analysis in the insurance industry, noted that quality of service and customer satisfaction and loyalty are fundamental for the survival of insurers. He further stated that the development of close relationships with customers, high-quality after-sales services, and good relationships with customers can lead to highly positive results for the insurers.

King (1992) established the following four important insurance quality factors: financial stability of the company, reputation of the insurer, agent integrity, and quality of information and guidance from the agent.

Curiously, some researchers define insurance quality as the insurers’ willingness to compensate sincere customers (Anderson and Skogh, 2003). Others confuse quality and generosity, the latter being insurers’ readiness to compensate for more than a court would order (Roos, 1981). The tendency of insurers not to adequately perform regarding their customers’ perceptions of quality creates problems to them, as the markets are extremely competitive and continuously become more so (Taylor, 2001).

We have not found any previously published studies on using Quality Function Deployment in any European market. Despite the global influence of the insurance sector, very few research focus on the relationships between customer expectations and the insurance company’s actions.

The particular characteristics of the insurance business reflect that it is crucial to improve service quality perception, and this research proposes the application of QFD in order to improve insurance services. As a result, customer satisfaction and loyalty will increase by discovering which the most important HOWs are in order to achieve customer expectations. This is the main aim of this research.

The secondary objective is to analyze the importance of service quality dimensions in the Spanish property and casualty insurance market by studying the importance of the WHATs.

In addition, certain improvements in the property and casualty insurance sector –service quality and retention– could have a strong impact on the results of insurance companies, and customers would be provided with a better and more efficient service in accordance with their expectations.

2.      Literature review

2.1.    The Voice of the customer

Applying the QFD methodology implies obtaining information about WHAT the customer’s expectations are. In order to get this information, we will use the voice of the customer (VOC) as the WHATs for the QFD structure.

Traditionally, customer voices have been considered a critical resource for firms (Lee et al., 2000). This is because VOC includes expectations related to customer needs and requirements, and these expectations can help firms to improve their products or services.

Research on VOC started developing based on Parasuraman’s research. He stated that VOC can be collected from customer recognition and customer surveys, and emphasized the importance of the VOC collection method (Parasuraman et al., 1988). They proposed to use VOC as an input to Quality Function Deployment (QFD) in order to formalize the process of listening to the customer.

A generally accepted point of view is that VOC should be considered as a gift to help firms develop new products or services that meet the needs of their customers (Barlow and Moller, 2008; Denove and Power, 2007). Walker and Baker (2000) stated that one of the crucial elements of insurance quality is the understanding of customers’ expectations, for instance by VOC, because their expectations serve as standards against which service performance is measured.

 Moreover, it is important to stay in touch with realistic and current customer expectations, because they are dynamic and highly influenced by other factors (Ghobadian et al., 1993). According to Gans (2002), if an organization does not understand customer expectations, any required actions taken to improve the quality of the products and services are unable to succeed.

In this particular study, we take as a reference the items from a previous research study analyzing the Greek insurance market (Tsoukatosand and Rand, 2006), which was in its turn based on an earlier study in of the Greek and Kenyan markets (Tsoukatos et al., 2004). We adapted it to the Spanish insurance market based on the opinions of insurance experts and expert market research professors. The interviewees represented an important part of the insurance sector (insurance company workers, brokers, academics and members of public institutions).

2.2.    Quality Function Deployment (QFD)

QFD is a tool to help understand customer needs, through which one can design or improve services and products in accordance with the requirements of customers. “Quality Function Deployment” is a translation from the Japanese characters “him shitsu” (quality), “kinou” (function), and “ten kai” (development).

Researchers such as Sullivan (1986), Hauser and Clausing (1988), Zairi and Youssef (1995), Chan and Wu (2002), and Terninko (1995) have discussed the benefits of QFD.

QFD is probably the most important management tool developed to assure quality in new or improved products and services. It is an important aspect because product and service development implies an increase in sales (Krishnan and Ulrich, 2001). In fact, both production and service industries could use its benefits, as expressed in the research literature on the implementation of QFD (Cristiano et al., 2000). QFD is a very interesting tool to obtain relationships between elements in strategic planning, necessary for organizations. Devadasan et al., (2006) affirm that by using QFD, companies would reduce time spent designing products, and Franceschini (2001) defends using QFD in order to improve products in accordance with customer needs.

QFD is used in various fields for determining customer needs (Stratton, 1989), for developing priorities (Han et al., 1998), formulating annual policies (Philips et al., 1994), benchmarking (Pfohl and Ester, 1999), and environmental decision-making (Berglund, 1993).

As a result, we conclude QFD is a useful tool to study how companies could improve their product/ service quality in accordance with customer expectations and the technical aspects of the insurance product/ service.

To this end, we adapted the traditional process of QFD to enable the construction of Insurance Service Quality Function Deployment (hereinafter ISQFD), which consists of the sections detailed below:

Section 1: the WHATs, consisting of a list of corporate clients’ expectations in relation to their external legal advisers, as well as the relative importance of each of the identified expectations to corporate clients (the weight of the WHATs).

Section 2: the HOWs, consisting of the resources an insurance company needs to improve in order to satisfy the WHATs (client expectations).

Section 3: The Relationship matrix, providing mapping of the level of impact of each of the HOWs (insurance company resources) regarding each of the WHATs (client expectations).

Section 4: The Contribution values, identifying the influence of each of the HOWs in the overall corporate client satisfaction with regard to their insurance service. The resources obtaining the highest contribution values are critical for competitive quality and hence represent strategic quality resources.

Section 5: The Roof. This matrix is designed to show the impact of each one of the resources on the rest. It is a bidirectional impact, where the interdependence between the resources is determined. This section provides relevant information on the way in which insurance companies enhance relevant resources by interlinking them with other resources, and hence with regard to the dominant logic in a particular company or industry.

3.      Research methodology

A deductive method was used, as previous studies served as a theoretical basis to develop this research.

Our study focuses on the construction of the first matrix in the QFD structure, which analyzes the relationship between the WHATs and HOWs and the construction of section 5, the roof.

While developing our research, and more particularly during the process of obtaining the key points to construct the QFD matrix, we used quantitative and qualitative research methodologies.

On the one hand, to construct the set of WHATs and HOWs, the interviews with different insurance experts were the qualitative part of the research. On the other hand, the information obtained from surveys (the weight of the WHATs) constituted the quantitative part of the research.

3.1.    Creation of the WHATs

As we mentioned earlier, the WHATs of QFD in this research are based on the Tsoukatos and Rand (2006) research studies and have been adapted to the Spanish insurance market. We decided to include 21 items as well as “Price” and “Solvency margin”, because, if we take into consideration the recent economic crisis, the price is of utmost importance in customer’s responses. As a result, customers provided answers in 5-point Likert scales for each of the 22 service attributes of the survey. In order to obtain the final 21 WHATs, we grouped similar concepts keep the survey as short as possible, while maintaining the diversity of concepts.

It is necessary to adjust the items used in the WHATs (voice of the customer), because, as Furrer et al., (2000) established, the importance of SERVQUAL (Parasuraman et al., 1988) dimensions –the primary theoretical basis of this research and the basis of the GIQUAL scale– vary in people from different cultural backgrounds. Because of this, it is crucial to obtain realistic and time-consistent items that measure the real service quality dimensions of the insurance service.

It is common for companies to conduct customer satisfaction surveys to know their customers’ point of view. Improvements on the basis of such surveys are usually considered to be enhancements in the competitive position of the firm, which ultimately result in better offerings and better customer service (Frank and Enkawa, 2007).

Figure 1. Graphical summary describing the creation process of WHATs

Finally, some differences but not significant changes with regard to the original GIQUAL scale were observed. The final set of items to be analyzed were: “Technological development of the insurance company”, “Image of the insurance company”, “Personal image and presence of employees”, “Advertising”, “Price”, “Compliance with agreed contract”, “Products which satisfy customer needs”, “Contracts with understandable service conditions”, “Interest in solving the problems”, “Clear documents presenting no errors or ambiguities”, “Information about when services requested by customers are to be carried out”, “Speed and efficiency of the service”, “Willingness to help and respond to customers”, “Confidence inspired in the customer”, “Adequate time for solving the claims”, “Courtesy”, “Adequate knowledge of the employees”, “Personalized service”, “Opening hours”, “Defending the interests of the client and acting in good faith”, “Understanding of the specific needs of the customer”.

Although the initial set of WHATs was designed to analyze another insurance market, according to the opinions of different insurance experts, we may assure the final list is appropriate to analyze service quality items in the Spanish insurance market. Some elements of the initial WHATs list (Tsoukatos and Rand, 2006) were not considered, others were grouped and the item “Price” was included according to the experts’ opinions.

This final list of WHATs form the SIQUAL scale which is specific for analyze service quality in property and casualty insurance.

The weight of the WHATs was obtained by a set of 305 surveys completed by insurance customers. The majority of them were filled out online using Surveymonkey software. As a pretest, two insurance experts and a reduced number of customers were interviewed in order to detect inconsistencies or establish potential improvements. Data were collected between February and June 2016.

In the sample, 40% of the customers required the services of the insurance company in the previous two years previous to completing the questionnaire.

3.2.    Creation of the HOWs

In order to obtain the HOWs, we interviewed different experienced insurance experts in the Spanish insurance sector. After carrying out several one-hour interviews, we grouped the concepts discussed and selected those that appeared more frequently. In addition, we included the concept “Knowledge of the market”, because we thought it would be important to understand what was going on in the sector and what direct competitors were doing.

Figure 2. Graphical summary describing the creation process of the HOWs

An interesting point to highlight is the similarity between the interviews with experts. They agreed substantially in their opinions regarding the possible actions an insurance company should take in order to obtain better satisfaction results.

The final set of HOWs were the following[1]: “Product offering”, “Technology”, “Call center service”, “Pricing systems”, “Marketing and advertisements”, “Solvency margin”, “Underwriting processes”, “Documents and conditions”, “Additional services offering”, “Knowledge of the market”, “Training of employees”, “Professionals”, “Working environment”,  “Knowledge about the insured risk”, “Relationship with brokers”, “Active communication with customers”, “Claims management”, “Risk management”, “Coordination between departments”, “Orientation to the customer”, “Integrity of employees”.

3.3.    Construction of the QFD Matrix

After obtaining the WHATs and HOWs, the QFD matrix was constructed in accordance with the results obtained and tested in 17 interviews to insurant experts (CEOs, directors, technical mangers, business area managers, brokers, researchers, members of public institutions…). Two interviews were used as a pretest, which concluded that the questionnaire was a clearly understood matrix and did not present any significant errors, so no modifications were made. Data were collected between March and September 2016.

During the interviews, experts completed the matrix and we observed a relative certain level of consistency in their answers. In general, and as previous analysis showed, they provided similar opinions. During the interviews, experts had to evaluate the correlation between each WHAT and each HOW as follows:

  • 0: no correlation at all
  • 1: low correlation
  • 3: medium correlation
  • 9: high correlation

3.4.    Construction of the Roof

During the interviews designed to obtain the QFD matrix, insurance experts were asked about the correlation between the HOWs. In this case, they had to provide us with their opinion regarding the correlation between elements manageable by insurance companies. Due to the fact that the QFD matrix exercise is rather difficult and time-consuming, we decided to reduce the complexity of the roof by asking experts whether they found a correlation or not. The results were obtained as follows:

  • 0: no correlation
  • 1: positive correlation

The possibility of including negative correlations was not considered so as to simplify the analysis. Data were collected between March and September 2016 simultaneously with the QFD matrix results.

4.      Results

4.1.    Importance of the WHATs

In this section, results show which the most important service quality items (WHATs) are for insurance customers. According to the results of the survey, the majority of the items are highly valued, and it is difficult to notice a subset of items as significantly more important than others. This implies that the item selection was successful.

Results in Figure 3 clearly show that the less important items are: advertising, personal image of employees and technological development of the insurance company. Customers are probably expressing the fact that these features do not reflect the “essence” or the basics of a property and casualty insurance contract, which is supposed to provide customers with a solution according to previous contract conditions. All these items reflect the efforts of insurance companies to transmit a comfortable and interesting image of the services offered. However, in the end, these particular items do not contribute to improving the quality of the service.

In contrast, it is very clear that customers perceive that such as speed and efficiency of the service, interest in solving the problems, and compliance with the contract are of great importance. Taking into consideration the potential significance of insured risks in the property and casualty insurance business, it seems logical that customers are interested in obtaining ethical, clear, and fast solutions if required.

Surprisingly, items such as “Price”, “Courtesy” and “Products which satisfy customer needs”, which a priori seem to be crucial for quality in the insurance business, are not highly valued. However, it is important to highlight that in the past few years, due to the economic crisis, the prices of the majority of insurance products in Spain decreased. This probably strongly affects the perception of price, which customers do not consider to be a significant item.

Figure 3. Results of the normalized importance of the WHATs

4.2.    QFD matrix

The highlighted results are those considered significant – with an average higher or equal to 8, and a standard deviation less or equal to 2.5. Taking into consideration the sample size of experts (17 interviewed insurance experts), consistent results were obtained using this scale.

It is important to mention that the figures only appeared as significant when there was strong evidence that this relationship existed, based on expert opinions.

Some potential improvements that had a remarkable impact on the image of insurance companies were very significant in terms of global contribution. It seems clear that if companies improve the most requested HOWs, such as “active communication with customers” and “orientation to the customer”, the image of the insurer improves.

By enhancing customer orientation, experts may expect an important effect on all concepts related to customer support, advertisement and the image of the company – which is important due to the nature of the business. Investments in active communication with customers improve the customer’s feeling of being understood by insurance companies, the perception of personalized service, as well as the insurer’s image.

An interesting point to consider is the high correlation between “Technology” and the efficiency and speed of the service, which is critical to solve the overwhelming majority of claims in certain property and casualty insurance business lines.

Investment in “Claims management” is expected to improve the image of the insurance company, the commitment with the customer, and the efficiency of the service.

“Integrity of employees”, as expected, has a strong correlation with corporate image and with transmitting security to customers. It is probably a required condition for other concepts, and if it is not highly correlated with other customer requirements it is because it has been “taken for granted”.

According to the opinions of the experts interviewed, by improving “Solvency margin” and “Underwriting processes”, companies should expect no significant improvements in service quality perception.

Investing in “Training of employees” is expected to generate moderate changes in some particular service quality items, but it is not significant enough to be considered crucial. Only efficiency of the service and knowledge of employees would increase significantly.

WHAT/HOW

Importance

UNIT

Products on offer

Technology

Call center service

Pricing systems

Marketing and advertisements

Solvency margin

Underwriting processes

Documents and conditions

Additional services offering

Knowledge of the market

Training of employees

Professionals

Working environment

Knowledge about the insured risk

Relationship with brokers

Active communication with customers

Claims management

Risk management

Coordination between departments

Orientation to the customer

Integrity of employees

Average

Technological development of the insurance company.

81%

AVER.

2,2

9,0

1,9

4,6

1,8

2,4

5,6

1,9

1,0

0,8

2,0

2,6

0,6

2,2

2,5

4,6

5,2

4,6

1,6

3,4

0,2

2,9

DESV.

3,4

0,0

3,4

2,9

3,5

3,4

3,3

3,5

2,3

1,3

3,0

3,3

1,2

3,4

3,4

3,5

3,4

3,4

2,9

3,5

0,7

2,8

Image of the insurance company.

85%

AVER.

7,1

5,8

8,6

1,9

8,6

6,1

4,8

5,3

7,4

4,7

7,8

5,7

4,9

3,8

6,0

8,1

8,3

3,9

5,1

8,3

8,3

6,2

DESV.

3,0

3,4

1,5

3,5

1,5

3,9

3,4

3,5

2,9

3,6

2,7

4,0

3,8

3,8

3,6

2,4

2,0

3,7

4,0

2,0

2,0

3,0

Personal image and presence of employees.

81%

AVER.

2,1

1,5

4,1

0,3

3,8

0,2

0,8

0,9

2,0

0,6

7,9

3,7

8,3

0,4

3,0

3,0

2,0

0,8

3,0

3,5

5,8

2,7

DESV.

3,5

3,0

4,0

0,8

4,1

0,8

2,3

2,3

3,5

1,2

2,4

4,2

2,0

1,0

4,1

3,6

3,5

2,3

4,1

3,9

4,1

2,9

Advertising.

65%

AVER.

1,8

1,1

1,2

1,6

9,0

1,4

0,5

1,2

3,1

2,9

1,4

0,2

1,2

0,5

2,9

3,7

0,9

0,9

1,1

8,3

1,3

2,2

DESV.

2,3

1,5

2,4

3,0

0,0

3,0

1,2

3,0

3,6

4,1

3,0

0,7

3,0

1,0

4,1

4,2

2,3

2,3

3,0

2,0

3,0

2,5

Price.

92%

AVER.

3,2

4,0

0,3

8,6

1,1

3,1

3,5

1,1

1,7

3,8

0,9

0,5

0,2

3,1

2,1

1,7

2,7

3,2

1,9

2,4

0,2

2,3

DESV.

3,5

4,0

0,8

1,5

2,3

3,6

4,3

3,0

3,0

4,1

2,3

1,0

0,7

4,0

3,4

3,0

3,8

3,6

3,5

3,9

0,8

2,9

Compliance with the agreed contract.

100%

AVER.

1,1

0,8

2,1

0,4

0,7

1,2

0,9

2,9

0,8

0,6

2,5

3,5

0,9

3,5

1,8

2,3

9,0

2,2

2,2

3,4

8,3

2,4

DESV.

2,3

2,3

3,5

1,0

2,2

2,4

2,3

3,7

2,3

2,2

3,8

4,3

2,3

4,2

3,5

3,4

0,0

3,4

3,9

4,0

2,0

2,8

Products which satisfy customer needs.

93%

AVER.

8,6

1,1

1,6

2,2

3,2

0,4

3,9

2,8

7,9

8,3

2,0

0,1

0,8

7,6

5,4

7,2

1,3

1,9

2,3

8,6

0,3

3,7

DESV.

1,5

2,4

3,5

3,5

4,0

1,0

4,0

4,1

2,4

2,0

3,5

0,2

2,3

2,6

4,0

2,8

3,0

3,0

3,9

1,5

0,8

2,7

Contracts with understandable service conditions

92%

AVER.

3,5

0,2

1,5

0,9

1,4

0,2

2,2

8,1

1,9

1,8

1,6

0,2

0,7

2,1

2,2

2,0

0,9

0,8

1,1

3,5

1,2

1,8

DESV.

3,9

0,7

3,0

2,3

3,0

0,7

3,4

2,5

3,5

3,5

3,0

0,8

2,3

3,5

3,4

3,0

2,3

2,3

2,4

4,3

3,0

2,7

Interest in solving the problems.

97%

AVER.

2,7

1,1

7,2

0,7

0,8

0,4

1,9

1,1

5,8

1,7

4,6

4,4

3,2

2,1

3,5

3,9

8,3

1,3

2,7

8,3

2,1

3,2

DESV.

3,7

3,0

2,8

2,3

2,3

1,0

3,5

3,0

4,0

3,0

3,5

3,7

3,5

3,5

3,9

4,1

2,0

2,4

3,8

2,0

3,5

3,1

Adequate time for solve the claims.

96%

AVER.

0,8

7,8

5,8

0,2

0,1

0,1

3,5

0,7

0,1

0,9

2,6

8,3

3,4

0,9

3,5

3,5

8,6

1,2

7,6

4,8

1,4

3,1

DESV.

2,2

2,7

3,1

0,8

0,3

0,3

3,9

2,3

0,2

2,2

3,8

2,0

3,9

2,2

3,9

3,9

1,5

2,3

2,6

4,3

3,0

2,4

Clear documents presenting no errors or ambiguities.

94%

AVER.

4,5

0,7

0,7

0,3

1,1

0,1

3,8

9,0

0,9

1,7

1,3

0,1

0,1

2,2

1,0

2,4

1,6

0,8

1,7

4,6

1,3

1,9

DESV.

4,5

2,3

2,3

0,8

3,0

0,2

3,2

0,0

2,3

3,0

3,0

0,3

0,3

3,4

2,3

3,4

3,0

2,2

3,0

3,5

3,0

2,3

Information about when service requested by customers are to be carried out.

90%

AVER.

0,9

3,5

7,2

0,1

1,2

0,1

1,8

1,6

1,8

1,4

2,0

3,5

1,5

1,2

2,5

8,3

4,9

1,5

2,2

5,8

0,8

2,6

DESV.

2,3

3,9

2,8

0,3

3,0

0,2

3,5

3,0

3,5

3,0

3,5

3,9

3,0

3,0

3,4

2,0

3,2

2,4

2,9

3,1

2,3

2,8

Speed and efficiency of the service.

98%

AVER.

1,5

8,3

7,6

1,1

0,4

0,2

5,5

0,5

1,7

1,6

8,6

7,2

7,2

1,2

7,5

5,5

8,6

3,5

7,6

7,9

1,5

4,5

DESV.

3,0

2,0

2,6

3,0

1,0

0,8

3,6

2,2

3,0

3,0

1,5

2,8

2,8

2,3

2,9

3,0

1,5

4,3

2,6

2,4

3,0

2,5

Willingness to help and respond to customers.

97%

AVER.

3,3

1,5

7,2

0,1

1,8

0,6

3,4

2,5

4,1

1,1

4,2

2,9

3,7

2,7

2,6

8,3

3,4

1,4

2,2

8,3

2,7

3,2

DESV.

3,9

3,0

2,8

0,2

3,0

2,2

3,9

3,3

3,9

2,3

4,3

3,7

4,1

3,8

3,3

2,0

3,9

2,3

3,4

2,0

3,8

3,1

Inspire confidence to the customer.

94%

AVER.

4,0

1,3

4,6

1,8

7,6

5,2

4,9

4,6

4,9

2,3

7,9

3,6

5,0

2,8

4,3

8,3

7,6

3,1

2,0

7,1

7,9

4,8

DESV.

3,0

3,0

3,5

3,0

2,6

4,3

3,2

2,9

3,2

3,4

2,4

3,8

4,0

3,7

3,2

2,0

2,6

3,6

3,4

3,2

2,4

3,2

Courtesy.

90%

AVER.

0,8

1,2

8,6

0,2

0,9

0,1

4,4

0,5

1,8

0,6

7,9

4,2

4,9

0,6

3,2

5,1

3,2

1,2

1,1

7,2

1,5

2,8

DESV.

1,3

3,0

1,5

0,7

2,3

0,2

3,7

2,2

3,0

2,2

2,4

3,8

4,1

2,2

3,6

4,3

3,6

2,3

2,3

2,8

3,0

2,6

Adequate knowledge of the employees..

93%

AVER.

1,3

1,4

2,0

0,7

0,6

1,2

2,0

0,8

1,2

7,2

8,6

4,9

2,8

8,5

3,5

2,9

1,6

2,4

1,7

4,3

1,6

2,9

DESV.

2,3

3,0

3,0

2,3

2,2

3,0

3,5

2,3

3,0

2,8

1,5

3,7

3,3

1,9

3,9

3,7

3,0

3,4

3,0

3,3

3,0

2,9

Personalized service.

87%

AVER.

1,6

2,1

7,2

0,7

1,1

0,1

3,2

0,5

3,1

1,0

5,2

3,9

2,5

1,2

8,2

8,6

3,9

1,4

1,3

8,3

0,5

3,1

DESV.

3,0

3,5

2,8

2,3

2,4

0,2

4,0

2,2

3,6

2,3

3,9

3,6

3,3

2,3

2,4

1,5

3,1

2,4

3,0

2,0

2,2

2,7

Opening hours.

89%

AVER.

0,3

3,2

8,6

0,1

0,5

0,1

0,6

0,5

1,6

0,8

1,4

1,4

1,1

0,6

1,9

2,4

1,8

0,4

0,6

7,5

0,2

1,7

DESV.

0,8

3,1

1,5

0,2

2,2

0,2

1,0

2,2

3,0

2,3

2,4

2,4

2,3

2,2

3,0

3,4

3,0

0,8

2,2

2,9

0,7

2,0

Defending the interests of the client and acting in good faith.

96%

AVER.

1,2

0,5

1,2

0,2

0,9

0,2

0,9

1,8

1,1

1,6

3,9

2,4

0,5

1,4

2,7

2,8

2,1

1,3

0,5

8,3

8,6

2,1

DESV.

2,3

2,2

2,3

0,8

2,3

0,8

2,3

3,0

2,3

3,5

4,1

3,4

1,2

3,0

3,8

3,7

3,5

2,4

2,2

2,0

1,5

2,5

Understanding of the specific needs of the customer.

92%

AVER.

8,3

2,2

2,4

1,3

3,2

0,5

3,1

1,6

8,3

7,6

7,9

3,4

1,2

7,2

7,2

8,3

2,2

1,7

1,3

7,9

1,9

4,2

DESV.

2,0

3,5

3,4

2,4

3,5

2,2

3,1

3,0

2,0

2,6

2,4

3,0

2,9

2,8

2,8

2,0

3,4

2,9

2,9

2,4

3,0

2,8

                        

 

                         

Contributions

 

 

55

52

84

25

43

21

56

46

56

48

84

62

50

52

70

93

82

36

47

119

53

 

Contributions Relative

  

4%

4%

7%

2%

3%

2%

5%

4%

5%

4%

7%

5%

4%

4%

6%

8%

7%

3%

4%

10%

4%

 

Figure 4. Results of ISQFD

An interesting result shows that by improving “Pricing systems”, customers would only perceive improvements in the price. A similar situation appeared when experts were asked to find correlations with improving “Work environment”, which would only have an impact on the image of the employees.

4.3.    Contribution of the HOWs

An important starting point in order to understand the results of the QFD analysis are contribution values. As mentioned earlier, they show the general contributions of the actions a company can improve (HOWs) in the set of service quality items (WHATs).

Figure 5. Contribution values

According to the results obtained in Figure 5, it is very clear that “Customer orientation”, “Active communication with the customer”, “Training of the employees” and “Call center service” and “Claims management” (both have a direct implication on the relationship with the customer) are the most important elements insurance companies should improve so as to obtain better global results in service quality.

“Solvency margin”, “Pricing systems” and “Risk management”, on the other hand, are clearly far away from customer service quality perception. Curiously, insurance companies provide these areas using advanced technical resources, but according to the results, they have no direct impact on customer satisfaction.

Results are consistent with recent trends in the Spanish insurance market, which are strongly focused on customers.

It is likely that customers are taking the solvency margin of insurance companies for granted.

4.4.    Results of the Roof

The Roof in QFD intends to analyze common correlations between future actions in order to improve service quality. It is a useful tool to discover HOWs, which can indirectly help improve the WHATs that do not stand out in the main QFD matrix.

Figure 6. Results of the Roof

Results in Figure 6 show the combination of HOWs. 75% or more of the interviewed insurance experts agree that there is a correlation.

As expected, “Knowledge about the market”, “Relationship between departments” in insurance companies (which is going to be reflected in shared knowledge), and “Marketing” have a correlation with “Product offering” because of communication and knowledge.

Improvements in technology have an impact on pricing systems and underwriting processes. It is a well-known fact that the insurance sector has considerably improved underwriting processes and pricing systems in the past few years thanks to technology.

As discussed in previous analyses, customer orientation is important to satisfy customers. Its correlations with efforts in advertisement, training of employees, communication, relationships with brokers and claims management imply that insurance companies could increase customer orientation by improving the traditional points of the insurance business, such as the relationship with the distribution channel and claims management.

5.      Conclusions

This study offers a significant contribution to academic literature and academic research. Firstly, the ISQFD was specifically developed for the insurance sector for the first time. Secondly, the development of a specific service quality scale for the insurance business (SIQUAL) shows which the most representative and important elements are in service quality for property and casualty insurance customers. Finally, ISQFD has proved to be an important tool to analyze service quality in property and casualty insurance. We have established the basis for future research in insurance service quality, showing how insurance companies can improve important business implications such as increasing customer retention.

We have built an empirical basis for researchers in non-life insurance or other intangible services to focus their future investigations on analyzing other important insurance products or lines of business such as life insurance services by applying the ISQFD methodology.

Moreover, this study provides researchers with a set of business and strategic actions actions in order to improve service quality combining the opinions of insurance experts and customer experience, which represents a solid basis for the future.

Taking into consideration the findings of this research, future researches will focus on the most important service characteristics for insurance customers to get additional results.

This research intends to show the significant aspects insurance companies should focus their investments on to improve service quality and competitiveness and, as a result, their sales and customer retention. We found evidence to prove that the most important points are related to service provision. Evidence also shows that the insurance company activities customers value the most are those focused on customer orientation and those providing employees with knowledge and abilities to efficiently interact with customers.

According to the results obtained in the case study by applying the ISQFD, we can conclude that “Orientation to the customer”, “Active communication with the customer” and “Training of the employees” are the most important HOWs, and all of them are related to service rather than the insurance product itself.

The results obtained in this research show that an important point to take into account is the importance of the majority of the WHATs analyzed. To conclude, insurance customers have high expectations of service, and there are no significant differences in customer preferences or expectations. This phenomenon shows the continuous pressure insurance companies are under in order to maintain their products and services at levels of quality that are high enough to satisfy their customers.

When interpreting our research findings, the following limitation of the study should be taken into account. Despite the fact that we interviewed numerous experts, more completed questionnaires would have improved the study. However, as the sample did not represent any company in particular, it provided totally unbiased results.

References

Anderson, F. and Skogh, G. (2003). “Quality, self-regulation, and competition: the case of insurance”. Insurance: Mathematics and Economics, 32, 267-280.

Barlow, J. and Moller, C. (2008). A Complaint is a Gift: Recovering Customer Loyalty When Things Go Wrong. Berrett-Koehler Publishers: San Francisco.

Berglund, R.L. (1993). “QFD: a critical tool for environmental decision making”. Transactions of the 1993 ASQC Quality Congress, Boston, MA, 593-9, 24-26.

Chan, L.-K. and Wu, M.-L. (2002). “Quality function deployment: a literature review”. European Journal of Operational Research, 143, 463-97.

Cristiano, J. J., Liker, J.K. and White, C.C. (2000). “Customer-Driven Product Development through Quality Function Deployment in the U.S. and Japan”. Journal of Production Innovation Management, 17, 286–308.

Denove, C. and Power J.D. (2007). Satisfaction: How Every Great Company Listens to the Voice of the Customer. Penguin: New York.

Devadasan, S. R., Kathiravan, N. and Thirunavukkarasu, V. (2006). “Theory and practice of total quality function deployment: A perspective from a traditional pump manufacturing environment”. The TQM Magazine, 18(2), 143–161.

Diacon, S. and O’Brien, C. (2002). Persistency in UK Long-Term Insurance: Customer Satisfaction and Service Quality. CRIS Discussion Papers III, University of Nottingham.

Ennew, C.T. and Binks, M.R. (1996). “The impact of service quality and service characteristics on customer retention: small businesses and their banks in the UK”. British Journal of Management, 7, 219-30.

Franceschini, F. (2001). Advanced Quality Function Deployment. St. Lucy Press: Boca Raton.

Frank, B. and Enkawa, T. (2007). “How Economic Growth Affects Customer Satisfaction: A Study from Germany”. Proceedings of the 13th Asia Pacific Management Conference, Melbourne, Australia, 115-120.

Furrer, O., Liu, B.S.-C. and Sudharshan, D. (2000). “The relationships between culture and service quality perceptions: basis for cross-cultural market segmentation and resource allocation”. Journal of Service Research, 2, 355-71.

Gans, N. (2002). “Customer loyalty and supplier quality competition”. Management Science, 48, 207–221.

Ghobadian, A., Speller, S. and Jones, M. (1993). “Service quality: concepts and models”. International Journal of Quality & Reliability Management, 11, 43-66.

Han, C.H., Kim, J.K., Choi, S.H. and Kim, S.H. (1998). “Determination of information system development priority using quality function deployment”. Computers & Industrial Engineering, 35, 241-264.

Harrison, T. (2003). “Understanding the Behavior of Financial Services Consumers: A Research Agenda”. Journal of Financial Services Marketing, 8(1), 6-9.

Hauser, J.R. and Clausing, D. (1988). “The house of quality”. Harvard Business Review, 66, 63-73.

Joskow PL (1973). “Cartels, competition and regulation in the property liability insurance industry”. The Bell Journal of Economics and Management Science, 4(2), 375–427.

King, C. (1992). “Agents/policy owners split on service”. National Underwriter, 41(October), 7.

Krishnan, V. and Ulrich, K.T. (2001). “Product development decisions: a review of the literature”. Management Science, 47 (1), 1–21.

Lee, H., Lee, Y. and Yoo, D. (2000). “The determinants of perceived service quality and its relationship with satisfaction”. Journal of Services Marketing, 14(3), 217 – 231.

Lombardi, L.J. (2005). “The importance of client retention”. LIMRA’s MarketFacts, 24, 31-2.

Moore, J.F. and Santomero, A.M. (1999). “The industry speaks: results of the WFIC Insurance Survey”. In Cummins, J.D. and Santomero, A.M. (Eds.). Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management, Kluwer, Norwell.

Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988). “SERVQUAL: A Multiple- Item Scale for Measuring Consumer Perceptions of Service Quality”. Journal of Retailing, 64 (Spring), 12-40.

Peppers, D. and Rogers (2014). Managing Customer Relationships: A Strategic Framework. John Wiley & Sons: New Jersey.

Pfohl, H.C. and Ester, B. (1999). “Benchmarking for spare parts logistics”. Benchmarking: An International Journal, 6 (1), 22-45.

Philips, M., Sander, P. and Govers, C. (1994). “Policy formulation by use of QFD techniques: a case study”. International Journal of Quality & Reliability Management, 11 (5), 46-58.

Pointek, S. (1992). “Outside interests: making the move from lip service to real service”. National Underwriter, 96(44), 34.

Roberts, J.H. (2005). “Defensive Marketing: How a Strong Incumbent Can Protect Its Position”. Harvard Business Review, 83(11), 150-155.

Roos, C.M. (1981). “On insurer generosity”. Scandinavian Studies in Law, 25, 152-165.

Shlesinger, H. and Graf von der Shulenburg, J.M.G. (1993). “Consumer information and decisions to switch insurers”.  Journal of Risk & Insurance, 60 (4).

Stratton, B. (1989). “The refined focus of automotive quality”. Quality Progress, 2 (10), 47-50.

Sullivan, L.P. (1986). “Quality function deployment”. Quality Progress, 19, 39-50.

Taylor, S. A. (2001). “Assessing the use of regression analysis in examining service recovery in the insurance industry: relating service quality, customer satisfaction and customer trust”. Journal of Insurance Issues, 24 (1/2), 30-57.

Terninko, J. (1995). Step-by-Step, Q.F.D. Customer Driven Product Design. American Supplier Institute, Dearborn, MI.

Toran, D. (1993). “Quality service (quality everything!)”. LIMRA’S Market Facts, 12 (2), 10-11.

Tsoukatos, E. and Rand, G. (2006). “Path analysis of perceived service quality, satisfaction and loyalty in Greek insurance”. Managing Service Quality, 16, 501–519.

Tsoukatos, E., Marwaa, S. and Rand, G. (2004). “Diagnosis and Improvement of Service Quality in the Insurance Industries of Greece and Kenya”. Journal of LUMS England, 1-24.

Walker, J. and Baker, J. (2000). “An exploratory study of a multi-expectation framework for service”. Journal of Service Marketing, 14(5), 411–431.

Wells B.P. and Stafford, M.R. (1997). “Insurance education efforts and insurer service quality”. Journal of Insurance Regulation, 15(4), 540-547.

Zairi, M. and Youssef, M.A. (1995). “Quality function deployment – a main pillar for successful total quality management and product development”. International Journal of Quality & Reliability Management, 12, 9-23.

Zeithaml, V.A. and Bitner, M.J. (1996). Services Marketing. McGraw-Hill: New York.

Zeithaml, V.A., Berry, L.L. and Parasuraman, A. (1988). “Communication and control processes in the delivery of service quality”. Journal of Marketing, 52(2), 35-48.

[FULL] Aricle 3, Volume 3 Issue 1

An analysis of CSR in human resource management practices and its impact on employee job satisfaction in Catalonia, Spain

Author

Dolors Celma

Esther Martínez-García

Josep Mª Raya

Abstract

Incorporating Corporate Social Responsibility (CSR) into HRM may be a way of integrating employee wellbeing within the workplace. This article provides an empirical analysis of the impact CSR human resource management practices (HRMP) have on job satisfaction (JS). Our aim is to determine which practices contribute most to enhancing employee JS. In an attempt to be as comprehensive as possible, the analysis includes a broad array of HRMP and different dimensions of JS as well as overall JS. Results taken from a representative sample of 1,647 Spanish employees in Catalonia show that in general CSR in HRMP increases JS; some practices (such as wage level) are only relevant for specific dimensions of JS, while others (such as job security) stand out due to their positive effects on all or the majority of JS dimensions. Implications for policymakers and firms interested in attracting and retaining employees by creating high JS are discussed.

Keywords

1.      Introduction

Fostering job quality is a key element of the European social model (European Commission: COM, 2001-313; COM, 2003-728 and COM 2005-24) and job quality itself is on the Europe 2020 agenda. It is considered that employees with high levels of job satisfaction (JS) and higher quality jobs contribute to firms’ competitiveness (European Commission, 2003; 2008). From an academic perspective, there is growing concern and debate around quality of work, ethics in human resource management (HRM) and employee wellbeing (see for example, Cloutier-Villeneuve, 2012; Rhodes and Harvey, 2012; Spencer, 2013). Incorporating Corporate Social Responsibility (CSR) into HRM may be a way of integrating employee wellbeing within the workplace. CSR embraces many theories and approaches, leading to difficulties in making the concept operational (Dahlsrud, 2008; Dobers and Springett, 2010; Ellis and Bastin, 2011; Garriga and Melé, 2004; Lee, 2008; Lindgreen, 2010). However, national and international bodies and institutions have contributed to making CSR less diffuse. In practice, parameters for socially responsible labor management are basically defined through the conventions, principles, regulations, directives, etc. drawn up by the diverse international bodies and institutions that promote CSR and on which national bodies and institutions base their own recommendations, such as: the ILO’s labor conventions; the European Commission’s “Green paper” from 2001 (European Commission, 2001a) and its COM 2001, COM 2002 and COM 2011 (European Commission, 2001b; 2002; 2011); the Global Compact program, the Global Reporting Initiative (GRI), ISO 26000, the OECD’s Guidelines, and the Social Accountability International certification (SA 8000) accrediting social responsibility.

 

With regard to CSR with employees, we will take the above recommendations and norms as a basis for our analysis of the effects of CSR in human resource management practices (HRMP) on JS. Although these documents do not offer a single list of “socially responsible” HRMP, they do include the main areas of action related to job quality (Celma, Martínez and Coenders, 2014): remuneration, recruitment, training, internal information and communication, health and safety in the workplace, equal opportunities and non-discrimination, and work/life balance. To be socially responsible in terms of job quality refers to taking into account both the objective characteristics of individual jobs and those relating to the general work environment (Cloutier-Villeneuve, 2012; European Commission, 2001b). According to the GRI and EU recommendations, it is socially responsible to reduce temporary contracts and increase job security (award permanent contracts), provide employee training that allows the employee to develop, and award an equitable remuneration, which in some cases will include variable remuneration or profit sharing based on effort or results. It is also responsible to improve the firm’s internal information, employee knowledge and participation in the firm’s policies, eliminate discrimination of any type in the workplace, promote health and safety at work, and introduce practices for the adequate conciliation of work and personal life.

 

In the Spanish case, and specifically that of Catalonia, one of the country’s more economically active regions and also active in terms of implementing CSR actions, very little is known about the practice of CSR in HRM (Celma et al., 2014). Despite an initial willingness to implement CSR in Spain, public administrations reacted incohesively due to a lack of joint common criteria for organizing CSR (Murillo, 2008). Nevertheless, Catalonia is among the most dynamic subscribers to CSR. In its “2009–2012 Plan RSCat-Generalitat de Catalunya 2009” and “2014-2020 Strategy Catalonia 2020” program, the regional government emphasized human capital development as one of the values required by twenty-first century organizations. They included strategies such as promoting job security, qualification levels, safety at work, equality, and training. Numerous examples of good practices already exist in many firms in Catalonia. However, they are not enough to delineate generally applicable conclusions regarding the adoption and impact of CSR practices, especially in the area of HRM. There is also a shortage of both academic and informative research providing clear and broad empirical evidence (Celma et al., 2014; Diller, 1999).

 

The aim of this article is to empirically analyze the impact of CSR in HRMP on employee JS. In doing so it will contribute to knowledge regarding the following: which practices have the highest and most significant impact on JS; which practices do not seem to have any impact; and which affect only specific dimensions of JS and which have a broad effect, impacting on many or all dimensions of JS. JS is therefore analyzed using different dimensions (JS with intrinsic factors, contextual factors, time factors, non-money compensation, wages, and job security) and as a single measure, or overall JS. The article is structured as follows: after this introduction, section two reviews the results obtained from previous empirical research on JS, which contribute to generating the hypotheses of this research. Section three is devoted to data and methods, section four to results and section five includes the conclusion and discussion.

 

2.      Literature review and research hypothesis

The mainstream perspective of human resource management studies has offered a large amount of empirical research on the determinants of employee JS. JS has been considered a means for increasing employee involvement and commitment and hence contributing to firms’ competitiveness and performance. Accordingly, the practices analyzed have basically been those considered to be high-performance work practices: related to increasing employees’ means of and opportunities for developing their skills. These are seen as positively affecting JS and the firm’s performance (Rhodes and Harvey, 2012). Increased JS is mentioned in Appelbaum et al. (2000), via practices for worker autonomy, working in teams, communication and opportunities for greater employee involvement; in Harley et al. (2007), via improved selection processes and appropriate training; and in Macky and Boxall (2007, 2008), via internal promotions and being involved in decision making processes. Other studies go beyond these practices: Edgar and Geare (2005) found that practices which improved physical safety, equal opportunities for employees and training were crucial in raising JS. Sousa-Poza and Sousa-Poza (2000) also found positive effects with increased job safety, while Goldman et al. (2006) found the same with non-discrimination and equal opportunities. Guest (2002) found evidence that work-family balance programs, along with improved information within the firm, training and measures to prevent harassment, were positive for workers’ JS; Gius (2012) analyzed the effects of unionization on the satisfaction of teachers in the US; Macky and Boxall (2007, 2008) included working more hours, heavier workloads and greater demands from the firm in their research, which were found to reduce JS. As for wages, Hamermesh (2001) found wages had a positive effect on JS, while Clark (1996) did not find statistically significant effects and Clark and Oswald (1996) obtained negative effects (cited in García and García, 2006).  One of the reasons that can explain literature findings variety concerning the impact of salaries on job satisfaction is the fact that employees may value their salaries in relation to a reference, such as the expected salary, instead of in absolute terms. Therefore, a growing number of studies on job satisfaction are including salaries as a subjective rather than an objective variable (Clark, 2005; Sousa-Poza and Sousa-Poza, 2000).

 

In the case of Spain, empirical studies have generally found a positive relationship between HRMP that enhance job quality and employee JS. Borra and Gómez (2012) show that JS is increased with practices that enable personal and work-life balance, job training and higher salaries, and negatively affected by health-risky jobs. Gamero (2010) found, in his analysis of differences in JS among immigrants and Spanish natives, that satisfaction was mostly affected by job rather than personal characteristics. Rico (2012) found the same, and also that gender was significant as an explanatory variable, women being more satisfied than men. Similarly to Gamero (2010), Sánchez-Sallero et al. (2014) found that demographics were not as relevant if job quality characteristics were included in the analysis of JS. In their analysis of JS among university graduates and the effects of over-education and over-skilling, among other results Kucel and Vilalta-Bufí (2013) found that JS increased with learning opportunities and with having time for family tasks. Finally, Pouliakas and Theodossiou’s (2010) research on JS in several countries found that low-paid employees were significantly less satisfied with their jobs than high-paid employees in Spain. All of the above studies used data for the whole of Spain, with none focusing specifically on the case of Catalonia, one of the most economically active regions. Moreover, the above did not consider dimensions of JS, only overall JS. These two aspects are considered in the present analysis: data refer only to Catalonia, and different dimensions of JS are analyzed. However, our previous literature review is very useful since it shows that there seems to be a general positive relationship between better HRMP and JS. Therefore, we hypothesize that this will also be the case in Catalonia: 

 

H1: CSR labor practices have a positive influence on job satisfaction. Since there is not enough information and consensus as to which practices are more influential for JS, one of the main objectives of the present analysis is to empirically determine these in the case of Catalan employees.

With regard to JS, most studies have taken it as a unidimensional concept (overall JS). However, this is still compatible with the fact that its cause can be multidimensional and it is possible to distinguish between different dimensions (Gamero, 2003; Harzberg et al., 1959; Rose, 2003; Spector, 1997). For example, Rose (2003) distinguished between extrinsic and intrinsic factors. The former depends on the working environment (such as wage level and promotion opportunities), while intrinsic factors are more conditioned by personal characteristics and qualitative aspects of the job. There are also studies which measure job quality with synthetic indicators that also include dimensions (Boccuzzo and Gianecchini, 2015; Díaz-Chao, Ficapal-Cusí and Torrent-Sellens, 2015). Therefore, in this analysis we also consider dimensions of JS besides overall satisfaction. Firms interested in enhancing employee satisfaction need to know which HRMP have a greater effect on each satisfaction dimension, and if there are practices with broader effects, that is, affecting more than one dimension.

Given that JS can have different dimensions and that HRMP are clearly related to some of these, the following research hypothesis will be analyzed:

 

H2: Different CSR HRMP will have different effects on specific dimensions of JS. Some HRMP will be more relevant than others in the sense that they will affect more than one dimension.

If this is the case, firms, governments and employee representatives can direct their efforts towards those HRMP that increase the satisfaction dimension they are most interested in and those which are more effective in terms of affecting a wider set of dimensions.

The third hypothesis refers to the relevance of HRMP and personal characteristics to JS. The literature review showed that when HRMP are included in the analysis, employees’ personal characteristics lose relevance as determinants of JS (Gamero, 2010; Rico 2012; Sánchez-Sallero et al., 2014). However, specific dimensions of JS may be affected by personal characteristics, as it is in the case of intrinsic characteristics (Rose, 2003). Therefore, the following hypothesis is proposed:

 

H3: JS will depend mainly on HRMP, but some personal characteristics of the employee can still be relevant.

In the analysis, we will also include explanatory variables other than personal characteristics, which will act as controls, such as characteristics of the firm’s and the economic sector in which it operates.

 

3.      Data and methods

Information on labor practices and the characteristics of firms, jobs and employees is taken from the Quality of Work Life Survey (QWLS), conducted in 2007 by the Spanish Ministry of Labor on a representative sample of employees aged 16 or above in Catalonia, Spain. The present analysis is based on n=1,647 respondents. The QWLS asks employees about their jobs, working conditions, etc. in different areas, as well as their satisfaction with specific aspects. When employees are asked for an assessment the scale generally ranges from 0 (none/worst) to 10 (most/best). National surveys on working conditions have a number of characteristics that make them especially useful for analysis, and they have therefore been used in previous studies, such as those conducted by Celma et al. (2014), Gamero (2010), Kalmi and Kauhanen (2008), Harley (2002), Peccei (2004), Ramsay et al. (2000) and Rico (2012). First, they provide a broad sample from the wide spectrum of business, work and personal realities and work practices that apply in the studied territory, making it possible to study beyond the scope of specific industries, firm types, or employee profiles. Moreover, being representative of the employee population, they allow researchers to generalize results to a greater extent than when the samples smaller in size, leading to a high statistical power and representativeness. Additionally, as an essential feature of our analysis, the QWLS survey provides information as it is perceived by employees, which allows us to analyze the degree and type of “responsible” practices and the results of these practices from the employees’ perspective. Similarly to previous related studies (Guest, 1998, Kehoe and Wright, 2013; Rousseau and Greller, 1994; Wright and Nishii, 2007), we are interested in employees’ perceptions because they are the directly affected agents and their perceptions affect their attitude and behaviours, and hence their JS.

HRM were selected from the QWLS to reflect information on CSR practices according to directives and recommendations from the international bodies promoting CSR mentioned in the previous section. They include practices in the areas of recruitment, training, remuneration, internal information and communication, health and safety in the workplace, equal opportunities and non-discrimination, and work/life balance. The specific practices are as follows: in the area of responsible recruitment, type of contract (fixed/temporary) and “full-time versus part-time work” – in Spain, fixed contracts provide great job stability and most part-time jobs are less advantageous for the employee than full-time ones. To reflect responsible training, “the company offers training” (yes/no) was selected. For equitable remuneration, “participation in profits” (yes/no) and type of remuneration (fixed, variable or mixed) were selected. CSR considers variable remuneration and profit sharing according to effort or results to be an equitable practice if well and transparently designed. Social remuneration (number of social benefits received by the employee) was also included in the analysis. Monthly wage received by the employee was also included, although unfortunately there was no measure of equitable remuneration. To reflect responsible information provided to the employee and knowledge of and participation in the firm’s policies, we used a variable for internal information in the firm regarding its goals, organization and the training it offers, and another variable regarding working in teams (this is considered to potentially increase knowledge and participation). As for no discrimination of any type in the workplace, we used two variables: “level of discrimination and harassment”, which includes discrimination by sex, age, nationality and disability and psychological and sexual harassment; the other variable used was “maternity harms the professional career”. For health and safety at work, our variables were environmental workplace conditions and safety at work. And finally, for an adequate balance of work and personal life, we used the variables “working longer hours”, “difficulty getting leave” and the number of weekly hours spent at work. Some of the HRMP variables have values ranging from 0 (none) to 10 (maximum), while others are categorical (e.g. yes/no; or quantitative (e.g. number of weekly hours spent at work). Table 1 provides their descriptive statistics and the type of variable (categorical, quantitative, etc.) for each. Mean and standard deviation are shown for quantitative variables and the percentage for qualitative variables. Cronbach-alpha was used to analyze the internal consistency of the grouping of practices and generation of new synthetic variables, such as, for example, in the case of level of discrimination and harassment (also shown in Table 1). JS was regressed on the HRMP and control variables. The latter are shown in Table 2 and are related to firm and employee characteristics (such as size of firm and industry in which it operates, and employee age, gender and level of education).

 

Descriptive sample statistics show that most Catalan employees had a fixed, permanent and full-time work contract, did not participate in benefits, did not work in teams, and received relatively low salaries. The number of social benefits was low on average, but so were the perceived level of discrimination and harassment and risk level at work, as well as difficulty obtaining leave. The variables with higher values are perceived safety at work and environmental workplace conditions. 

VARIABLES*

Average

(Standard Deviation)

Percentage

N

Type of remuneration

 

 

1,647

Fixed

 

81.1

1,335

Variable o mixed

 

18.9

312

Participation in profits

 

 

1,647

Yes

 

16.8

276

No

 

83.2

1,371

Number of social benefits (between 0 and 10)

1.32 (1.933)

 

1,647

Monthly wage

 

 

 

< 600€

5.9

97

1,647

600-1,200€

49.4

813

 

1,201-2,100€

35.6

587

 

2,101-3,000€

7.2

119

 

>3,000€

1.9

31

 

Type of contract

 

 

1,647

Fixed

80.1

1,319

 

Temporary

19.9

328

 

Time work

 

 

1647

Full time

 

86.6

1427

Part time

 

13.4

220

Company offers training

 

 

1,647

Yes

 

52.3

861

No

 

47.7

786

Internal information

(summated Scale) (Cronbach’ α = 0,85) (0=none; 10= much)

6.17 (2.901)

 

1,647

       Information about organization chart

6.45 (3.208)

 

1,647

       Information about company goals

6.40 (3.244)

 

1,647

       Information about training offer by company

5.66 (3.403)

 

1,647

Team work

 

 

1,647

Yes

 

80.3

1,322

No

 

19.7

325

Risk level (0=none; 10=much)

3.61 (3.250)

 

1,647

Environmental workplace conditions (summated scale)

(Cronbach’ α = 0,77) (0=very bad; 10=very well)

7.03 (2.170)

 

1,625

Air conditioning evaluation

6.28 (3.575)

 

1,336

Heating evaluation

7.13 (3.001)

 

1,385

Ventilation evaluation

7.36 (2.730)

 

1,448

Noise evaluation

6.11 (3.290)

 

1,622

Lighting evaluation

8.07 (2.062)

 

1,500

Physical space evaluation

7.87 (2.271)

 

1,498

Safety provided by company

(summated scale) (Cronbach’ α = 0,87) 0=never; 10=always)

7.48 (2.791)

 

1,647

Information about labour risks

7.36 (3.073)

 

1,647

Safe working conditions

7.59 (2.842)

 

1,647

Level of discrimination and harassment

(summated scale) (Cronbach’ α = 0,79) (0=none; 10=much)

 

 

1,647

Level of discrimination by sex

0.55 (1.711)

 

1,647

Level of discrimination by age

0.45 (1.495)

 

1,647

Level of discrimination by nationality

0.46 (1.503)

 

1,647

Level of discrimination by disability

0.26 (1.142)

 

1,647

Level of psychological harassment

0.51 (1.660)

 

1,647

Level of sexual harassment

0.15 (0.793)

 

1,647

Maternity harms the professional career (1= Yes; 2 =No)

 

 

1,647

Maternity damages professional career of women % of Yes)

 

25.3

759

Paternity affect professional career of men % of Yes)

 

26.2

888

Working longer hours

0=never; 10=always)

3.62 (3.283)

 

1,647

Weekly hours at work

39.39 (8.440)

 

1,647

Difficulty getting leave

(summated scale) (Cronbach’ α = 0,87); 0=none;10= much)

3.61 (3.114)

 

1,611

Difficulty to request unpaid leaves

3.42 (3.512)

 

1,594

Difficulty to request long leaves

3.85 (3.637)

 

1,587

Difficulty for reducing working hours

3.94 (3.671)

 

1,583

Difficulty to request short absences

2.94 (3.446)

 

1,511

*The mean and standard deviation are calculated for quantitative variables and the percentage for qualitative variables.

Table 1. Descriptive Statistics of CSR in HRM

 

VARIABLES

Percentage

N

Industry type

 

1,647

Primary Sector

0.9

15

Manufacturing

22.7

374

Construction

12.1

200

Services

64.3

1,058

Company size

 

1,647

Micro

23.2

382

Small

24.5

404

Medium

18.1

298

Large

34.2

563

Sector

 

1,647

Public sector

21.0

346

Private sector

79.0

1,301

Age

 

1,647

< 25 years

6.7

111

25- 44 years

56.4

929

45- 55 years

23.9

393

> 55 years

13.0

214

Gender

 

1,647

1.      Man

53.9

888

2.      Woman

46.1

759

Level of education

 

1,647

3.      No studies/ Primary education

22.0

362

4.      Secondary education

31.4

517

5.      Professional education

21.7

358

University education

24.9

410

Birth place

 

1,647

Catalonia

69.3

1,141

Rest of Spain

16.4

270

6.      Immigrant

14.3

236

Professional category

 

1,647

Staff

79.2

1,305

Manager (first level)

9.7

159

Manager (second level)

8.4

138

Top manager

2.7

45

Seniority in the firm

 

1,647

< 1 year

16.6

274

1-2 years

18.8

309

3-5 years

15.7

259

6-10 years

17.2

284

11-20 years

17.4

286

> 20 years

14.3

235

Table 2. Descriptive statistics of company and workers variables

 

With regard to the dependent variable JS, the QWLS included an overall JS question measured between 0 (none) and 10 (maximum). Table 3 shows its descriptive statistics. Most employees were satisfied (around 70% marked 7 or more on the questionnaire), which is in line with the results found in Eurofound (2007).

 

 

Job satisfaction

N

%

%

Cumulated

0 (none)

7

0.4

0.4

1

5

0.3

0.7

2

11

0.7

1.4

3

34

2.1

3.5

4

44

2.7

6.1

5

167

10.1

16.3

6

218

13.2

29.5

7

358

21.7

51.2

8

475

28.8

80.1

9

192

11.7

91.7

10

136

8.3

100.0

Total

1,647

100.0

 

Average (standard deviation)

7.19 (1.748)

 

 

Table 3. Descriptive statistics of job satisfaction

 

The QWLS also included questions regarding satisfaction with different job aspects, such as wage level and job security. Table 4 includes the 19 considered here, which have been subjected to a principal components analysis to reduce the number of variables and find dimensions of JS.

Rotated Factor matrix (with VARIMAX rotation)

Factor loadings after rotation

Variable

Factor 1

Factor 2

Factor 3

Communality

Level of satisfaction with:

 

 

 

 

 

Wage level

0.27531

0.41617

0.32223

0.64718

Working hours

0.25667

0.76000

0.14035

0.33682

Working time flexibility

0.11844

0.65979

0.34775

0.42971

Resting time during working hours

0.19440

0.66019

0.27430

0.45113

Vacations and leaves

0.36796

0.60817

0.17563

0.46388

Job security

0.45680

0.44921

0.20555

0.54729

Interpersonal working environment

0.71652

0.21642

0.16747

0.41171

Job tasks

0.73742

0.20909

0.21816

0.36490

Physical environment

0.76017

0.18983

0.15177

0.36307

Health and safety at work

0.72832

0.23701

0.16336

0.38669

Training offered by the firm

0.33290

0.26599

0.59988

0.45857

Social benefits

0.01876

0.31362

0.73774

0.35704

Work and tasks organization

0.54969

0.24283

0.52426

0.36403

Autonomy

0.53520

0.14804

0.53909

0.40103

Participation in decisions

0.41563

0.05901

0.67675

0.36578

Promotion opportunities

0.20122

0.15486

0.76146

0.35570

Head’s assessment

0.56683

0.17349

0.51822

0.38005

Personal development at work

0.59733

0.11724

0.50624

0.37317

Free time

0.15596

0.60047

0.03905

0.61358

 

 

 

 

 

Eigen value

8.30885

1.43218

1.18764

 

% of explained variance

43.73%

7.54%

6.25%

 

% de explained variance, cumulated

43.73%

51.27%

57.52%

 

n= 1.378

 

 

 

 

Table 4. Principal Component analysis of satisfaction with different job aspects

 

Three factors emerged with Eigen values higher than 1. Satisfaction with wage, with job security, with work and task organization, with autonomy, with participation in decision-making, with managers’ assessments, and with personal development loaded with highly significant values on more than one factor, hence they could not be clearly assigned to any of them. The rest of the satisfaction variables were clearly assigned to one of the three factors. With the variables that clearly load on each factor, four new synthetic variables were created. They represent four dimensions of JS and have been labeled according to the type of initial variables they include. They are: satisfaction with time characteristics (Cronbach-alpha α = 0.77); satisfaction with contextual factors (α=0.81); satisfaction with non-financial compensation (α=0.76); and satisfaction with intrinsic factors (α= 0.83). Their composition is shown in Table 5. The first three are associated with extrinsic job factors. “Satisfaction with intrinsic job factors” is also included in the subsequent analysis and represents intrinsic job factors that can generate satisfaction (such as job autonomy and personal development). Also “satisfaction with wage” and “satisfaction with job security” are included. Ultimately, six dimensions of JS were considered in the subsequent analysis.

VARIABLES

 

Average (standard deviation)

 

 

n

 

Satisfaction with wage (0 -10)

6.17 (2.214)

1,632

 

Satisfaction with job security (0-10)

7.49 (2.374)

1,647

 

Satisfaction with time characteristics (0-10)

6.75 (1.788)

1,647

Satisfaction with working hours

7.03 (2.127)

1,647

Satisfaction with working time flexibility

6.46 (2.882)

1,674

Satisfaction with resting time during working hours

6.52 (2.650)

1,647

Satisfaction with vacation and leaves

7.37 (2.251)

1,647

Satisfaction with free time

6.41 (2.310)

1,647

 

Satisfaction with contextual factors (0-10)

7.49 (1.588)

1647

Satisfaction with interpersonal working environment

7.78 (2.001)

1,612

Satisfaction with job tasks

7.62 (1.838)

1,647

Satisfaction with physical environment

7.28 (1.980)

1,647

Satisfaction with health and safety

7.29 (2.065)

1,647

 

Satisfaction with non-financial compensation (0-10)

5.22 (2.766)

1,647

Satisfaction with training

5.92 (3.142)

1,647

Satisfaction with social benefits

4.48 (3.447)

1,465

Satisfaction with promotion opportunities

5.17 (3.210)

1,519

 

Satisfaction with intrinsic characteristics (0-10)

6.82 (2.020)

1,647

Satisfaction with autonomy

7.07 (2.436)

1,647

Satisfaction with participation in decisions

6.36 (2.863)

1,610

Satisfaction with head’s assessment

6.95 (2.440)

1,569

Satisfaction with personal development

7.16 (2.218)

1,647

Table 5. Descriptive statistics of job satisfaction dimensions

 

Table 5 shows that the sampled employees’ higher satisfaction levels were with job security, with the interpersonal environment and with job tasks. The lowest values were awarded to non-financial compensation; satisfaction with wage levels also shows low values. Hence, it seems that according to employees, Catalan jobs offer high job security and quite good contextual factors (such as health and safety) but low promotion opportunities, low training, low social benefits and low wages.

 

An OLS regression analysis was performed for each of the six dimensions of JS and overall satisfaction. Explanatory variables were the HRMP and control variables (firm and employee characteristics). Results are presented in Table 6. An OLS regression can be done with the synthetic variables generated for four of the satisfaction dimensions, since they have a large number of values, and hence can be considered quasi-continuous variables. An ordered model could have been used to estimate global JS and satisfaction with wage and job security, since satisfaction values reflect an order from 0 (none) to 10 (maximum). However, an OLS regression model was used to maintain model uniformity and simplify the analysis. According to Ferrer-i-Carbonell and Frijters (2004), proceeding in one way or the other (OLS or ordered models) does not seem to affect relevant results when analyzing the determinants of satisfaction, as we do here.

Explanatory variables (control variables)

Overall job satisfaction

Satisfaction with intrinsic factors

Satisfaction with contextual factors

Satisfaction

with time characteristics

Satisfaction with non-financial compensation

Satisfaction

with wage level

Satisfaction

with job security

 

CONTROL VARIABLES

Industry type (ref. services)

 

 

 

 

 

 

Primary Sector

-0.634

-0.040

-0.928*

-1.583**

-0.419

-0.878

-1.404*

Manufacturing

0.042

-0.140

0.055

-0.001

-0.034

0.085

-0.007

Construction

0.130

-0.040

0.263**

0.181

0.319

0.404*

0.182

Company size  (ref. Large)

 

 

 

 

 

 

Micro

0.268 *

0.485***

0.119

0.275*

0.001

0.391*

-0.052

Small

0.138

0.395***

-0.047

0.051

-0.020

0.331*

0.328**

Medium

0.065

0.006

-0.038

-0.015

-0.115

0.248

0.136

Private sector (ref. public sector)

-0.216**

-0.165

-0.091

-0.190*

-0.254

-0.062

-0.362**

Age (ref >55 years)

 

 

 

 

 

 

 

< 25 years

0.310

0.410**

0.210

0.046

1.111***

0.818***

0.660**

25- 44 years

-0.063

-0.057

-0.102

-0.048

0.369*

0.049

-0.092

45- 55 years

-0.114

-0.092

-0.083

-0.136

0.406**

-0.331*

-0.129

Gender: Woman (ref. man)

-0.108

-0.097

-0.091

-0.350***

-0.630***

-0.038

-0.086

Level of education (ref. university education)

 

 

 

 

 

No studies/ Primary education

0.397**

0.284

0.181

0.117

0.449*

0.397*

0.002

Secondary education

0.243*

0.203

0.142

0.042

0.271

-0.001

0.179

Professional education

0.237*

0.202

0.080

0.040

0.095

-0.048

0.207

Birth place (ref. Immigrant)

 

 

 

 

 

 

Catalonia

0.237*

0.276*

-0.085

0.043

-0.008

-0.089

0.130

Rest of Spain

0.188

0.428**

0.051

0.017

-0.088

-0.345*

0.367*

Professional category (ref. top manager)

 

 

 

 

 

 

Staff

-0.434

-0.600

-0.042

-0.743*

-0.761

-0.651

0.235

Manager (first level)

-0.171

-0.026

-0.038

-0.194

-0.308

-0.369

0.406

Manager (second level)

-0.255

0.121

-0.018

-0.130

-0.212

-0.433

0.583

Seniority in the firm (ref. > 20 years)

 

 

 

 

 

 

< 1 year

0.351**

0.332*

0.207

0.316*

0.477*

0.005

-0.208

1-2 years

0.196

0.023

0.047

-0.006

-0.011

0.015

-0.227

3-5 years

0.086

0.112

0.002

-0.033

0.049

-0.343

-0.223

6-10 years

0.275*

0.225

0.201

0.144

0.190

0.059

-0.286

11-20 years

0.050

-0.106

-0.060

0.061

0.123

-0.082

-0.308

 

CSR in HRM VARIABLES

Variable o mixed remuneration (ref. fixed)

0.001

0.049

-0.017

-0.155

-0.193

-0.080

-0.331**

No participation in profits (ref. Yes)

-0.104

-0.167

-0.099

-0.205*

-0.121

-0.126

-0.238*

Number of social benefits (between 0 and 10)

0.098***

0.049*

0.019

0.068***

0.241***

0.064**

0.084***

Monthly wage (ref. > 3.000€)

 

 

 

 

 

 

< 600€

-0.640*

-0.162

-0.054

-0.507

-0.285

-1.797***

-0.132

600-1.200€

-0.444

-0.229

0.069

0.002

0.602

-1.339***

-0.039

1.201-2.100€

-0.247

0.025

0.047

0.148

0.878

-0.452

0.079

2.101-3.000€

-0.502*

-0.276

-0.168

0.068

0.593

-0.197

0.060

Temporary contract

(ref. fixed)

-0.482***

-0.334**

-0.270**

-0.319**

-0.355*

-0.134

-2.096***

Part time work (ref. full time)

-0.263*

0.135

0.236*

-0.419***

-0.305

-0.083

-0.334*

No Training (ref. Yes)

-0.149*

0.105

-0.216***

-0.073

-0.816***

-0.256**

-0.186

Internal information

 (0=none; 10= much)

0.137***

0.229***

0.125***

0.106***

0.248***

0.110***

0.133***

No Team work (ref. Yes)

-0.322***

-0.408***

-0.269***

-0.253**

-0.557***

-0.182

0.019

Risk level  (0=none; 10=much)

-0.043***

-0.027*

-0.067***

-0.026*

-0.039*

-0.038**

-0.029*

Environmental workplace conditions (0=very bad; 10=very well)

0.084***

0.094***

0.146***

0.083***

0.159***

0.054**

0.079***

Safety provided by company

(0=never; 10=always)

0.091***

0.121***

0.105***

0.077***

0.119***

0.052***

0.066***

Level of discrimination and harassment (0=none; 10=much)

-0.185***

-0.252***

-0.160***

-0.137***

-0.124**

-0.214***

-0.179***

Maternity no harms the professional career (ref. Yes)

0.284***

0.334***

0.204***

0.355***

0.343**

0.209*

0.476***

Working longer hours

0=never; 10=always)

-0.008

0.005

-0.013

-0.052***

-0.008

-0.033

-0.010

Weekly hours at work

-0.026***

-0.005

-0.011*

-0.050***

-0.030***

-0.019**

-0.012

Difficulty getting leave

0=none;10= much)

-0.042***

-0.048***

-0.048***

-0.039***

-0.030

-0.021

-0.073***

Constant

7.615

3.417

5.681

8.879

5.904

6.018

8.925

 

 

 

 

N = 1.584

F = 10.26

R2 = 0.341

Adjusted R2 = 0.308

Adjusted R2 (only control v.) =0.088

N = 1.584

F = 17.79

R2 = 0.388

Adjusted R2 = 0.357

 

Adjusted R2 (only control v.) = 0.118

 

N = 1.584

F = 12.31

R2 = 0.383

Adjusted R2 = 0.352

Adjusted R2 (only control v.) = 0.071

 

N = 1.584

F = 8.78

R2 = 0.307

Adjusted R2 =0.272

 

Adjusted R2 (only control v.) = 0.065

N = 1.584

F = 11.06

R2 = 0.358

Adjusted R2 =0.326

 

Adjusted R2 (only control v.) = 0.096

N = 1.570

F = 6.05

R2 = 0.234

Adjusted R2 =0.196

 

Adjusted R2 (only control v.) = 0.079

N = 1.584

F = 11.38

R2 = 0.365

Adjusted R2 = 0.333

Adjusted R2 (only control v.) = 0.131

 

***p<0.01; **p<0.05; *p<0.10

Table 6. OLS estimation of job satisfaction

 

4.      Analysis of results 

Positive (negative) signs associated with explanatory variables indicate a positive (negative) effect of the variable on JS. For categorical variables (such as man/woman), results have to be interpreted in relation to the reference category (e.g. women are less satisfied -negative sign- with the time dimension than men). Given the large sample used for estimation, results are commented on considering that an effect is statistically significant only when p<0.01 or p<0.05. They are identified in the tables with two (**) or three (***) asterisks. It is also worth noting that with the regression analysis each variable’s effect on satisfaction is to be interpreted as “other things equal”, that is, the effect of other variables on satisfaction is already controlled for.

Due to the fact that the analysis contains many variables, both explanatory and dependent, many results emerge. For reasons of space, only some of them will be commented on in more detail below. Since the main focus of this research is the impact of CSR in HRMP practices on JS, we start by commenting on the results obtained for these variables. One of the main relevant results to consider is that all dimensions of CSR in HRMP are significant, either for overall satisfaction and/or for some dimensions of satisfaction. The direction of the effect is also as expected according to the first research hypothesis: practices in accordance with CSR have positive impacts on JS (such as good internal communication and information and non-discrimination and equal opportunities). Hypothesis two is also confirmed, as some practices are relevant to some satisfaction dimensions but not others (such as wage level, which is relevant for the dimension satisfaction with wage, but not statistically significant for overall satisfaction). Moreover, some practices have appeared as relevant for all or many satisfaction dimensions and also for overall JS (internal information and team work, health and safety at work, equal opportunities and non-discrimination practices, job security and working times and general practices for personal-work life conciliation).

 

Some of the specific results are as follows. With regard to wages, previous research offers non-unidirectional results, although most of these are in line with “higher wages increase JS” (as in Hamermesh, 2001; and for the case of Spain, Borra and Gómez, 2012; and Pouliakas and Theodossiou, 2010). In our analysis, the wage level effect is positive and statistically significant, but only for the dimension “satisfaction with wage level”. Therefore, it seems that higher wage levels increase satisfaction with it as a dimension, but do not seem to have any differential effect on overall satisfaction. Another HRMP which sample statistics showed to be important was job security. Regression estimates indicate that Catalan employees value this very highly, as it is statistically significant for nearly all dimensions of JS and for overall JS. Also, working part-time generally has a negative effect on JS. This may be an indicator that employees are not voluntarily deciding to work in part-time jobs and prefer full-time ones. With regard to training, in previous research it was found to increase satisfaction (Borra and Gómez. 2012; Edgar and Geare. 2005; Guest. 2002; Harley et al. 2007; Kucel and Vilalta-Bufí. 2013). Our results are similar: training increases JS with intrinsic factors and also with other dimensions of satisfaction such as with contextual factors, with non-financial compensation and with wage levels. Hence, it seems that employees perceive training as a means of somehow compensating other low-quality practices, such as low wages. With regard to internal information and communication, the previously reviewed literature showed that a positive effect was found in many studies. That is also the case here, notably being found to affect all dimensions of satisfaction and especially satisfaction with intrinsic factors (such as participation in decisions) and satisfaction with non-money rewards (such as promotion opportunities).

 

Health and safety at work increases JS, as found in Borra and Gómez (2012), Edgar and Geare (2005) and Sousa-Poza and Sousa-Poza (2000), and also has positive effects on all dimensions of JS. Non-discrimination and equal opportunities practices have the same effect, which is in line with the findings of Edgar and Geare (2005), Guest (2002) and Goldman et al., (2006), although descriptive statistics showed low levels of discrimination at work in our study. However, a high proportion of sampled employees (around 25%) said that maternity/paternity had harmed their professional career. Finally, with regard to practices related to working hours and personal/work life balance, our results show that these are generally relevant both to overall JS and the different dimensions of JS. Eurofound (2007) also found a general positive relationship between better practices and JS, such as in the case of greater working time flexibility and not working more than the normal number of hours. Previous research findings have also been in the same line (Borra and Gómez, 2012; Guest, 2002; Kucel and Vilalta-Bufí (2013); Macky and Boxall, 2007; 2008).

 

Results related to control variables are also worth commenting on, as they relate to the second research hypothesis. With regard to personal employee characteristics, being an immigrant, age and gender do not generally have significant effects. These results point to the first part of research hypothesis three: what really matters most are work practices rather than employees’ personal characteristics, in line with the main results obtained by Gamero (2010), Rico (2012) and Sánchez-Sallero et al., (2014). However, some personal characteristics are statistically significant for some JS dimensions in our regression analysis. In our case, although gender does not affect overall satisfaction (contrary to Rico, 2012), and as in Kucel and Vilalta-Bufí (2013), it does have a significant effect on satisfaction with time characteristics and with non-financial compensation, women being less satisfied than men. As for age, younger employees are more satisfied with some dimensions of JS. Concerning level of education, there seems to be some evidence that more educated employees are less satisfied. Summing up, results for employees’ personal characteristics suggest that even when relevant HRMP are included in the analysis, some personal characteristics do have an influence on JS.

 

5.      Discussion and conclusions

This research has analyzed the effects of a CSR approach to HRMP on Catalan employees’ JS, both as an overall measure and with regard to its different dimensions. As far as we know, this is a new contribution to the field, as there is no previous evidence available that is both broad enough and non-descriptive to make it useful for generalization and consequently usable for firms, trade unions, institutions and governments to implement actions towards increasing employees’ job quality and satisfaction with their jobs.

In accordance with most previous literature, we have found that better HRMP, orienting them towards what CSR defines as job quality, have positive effects on JS, whether overall or in some of its dimensions. Our first research hypothesis is therefore confirmed. However, some practices do not have effects on overall JS: training, wage level and any practice relating to remuneration in general. By contrast, and as regards the second research hypothesis, some practices are relevant to overall satisfaction and many dimensions of JS. This is the case with job security (having a permanent contract), which is the HRMP with the greatest effect on JS. It is also one that positively affects many dimensions of JS. The same is true of HRMP related to higher/better internal information and team work, health and safety at work, equal opportunities and non-discrimination practices and an adequate balance of work and personal life. For example, when employees find themselves in a good working environment (physically safe and with good interpersonal relations), their satisfaction with contextual factors (related to the working environment) increases, as does their satisfaction with other job dimensions such as wage level and job security. Therefore, these CSR measures are of great importance to firms interested in increasing their employees’ JS, since they affect many dimensions of satisfaction. They may also counteract the effects of practices which reduce job satisfaction, such as low wages.

We have also found that some practices only affect overall satisfaction or just one specific dimension of satisfaction. This is the case with wage level, which was found to have a relevant effect on the dimension “satisfaction with wage” (with lower-waged employees being less satisfied with their wages), but not on overall satisfaction. The type of monetary compensation (fixed or variable) and participating in benefits stand out as not having any effect on overall satisfaction, but are related to satisfaction with job security. Thus, Catalan employees do not see variable remuneration as a positive practice, as they associate it with job insecurity. This also happens with some practices related to working times and schedules, which only affect the dimension of satisfaction with time factors.

As for hypothesis three, some employees’ personal characteristics were found to be significant for JS. This knowledge provides us with information regarding which groups need specific attention. This is the case with women, who seem to value aspects of personal and working life balance higher than men, and with younger employees, who appear to be more satisfied with some dimensions of JS, all other things being equal. There is also some evidence that university-level employees may be less satisfied, other things being equal, than employees with lower levels of formal education.

These results are relevant for firms who have an interest in applying CSR in the management of their employees and increasing employees’ JS. They help identify which practices are more relevant to overall satisfaction, which are relevant to specific dimensions of JS, and which affect a broader range of satisfaction dimensions. They also help identify those groups of employees who may require specific practices (for example, women appeared to value time aspects of the job more highly, in line with job and personal life balance). 

Information obtained from this research may also be useful when defining institutional policies to promote job quality. This is the case with the social policy agenda of the European Commission and the Lisbon strategy of the European Council, which clearly link job quality with employees’ JS (COM (2001) 313 final). 

This research comes with limitations. It was conducted for only one of the seventeen autonomous regions in Spain. Other regions may have different economic structures   and employees may receive different job practices and feel differently from Catalan employees about job practices. Therefore, an analysis for other autonomous regions would provide broader information of potential differences among regions in Spain. Additionally, this research should be continued for other years in order to analyze similarities or differences in the results, especially considering the deep economic crisis enveloping Catalonia and Spain in general. The crisis has changed many job practices; for example, nowadays a far lower number of employees have a permanent contract, and permanent contracts also offer less job security than previously. Unfortunately, the QWL survey for Catalonia was disrupted some years ago, and no data are currently available to facilitate research from 2010 to date.  

In order to better understand the determinants of JS, future research should investigate the relationship between overall JS and its dimensions, and why some human resource practices have an impact on many dimensions and others only on a few. Moderating and mediating effects should also be explored; with job security, for example, which has emerged as being very relevant to both overall JS and its different dimensions.

References

Appelbaum, E., Bailey, T., Berg, P. & Kalleberg, A. (2000). Manufacturing Advantage: Why High-Performance Work Systems Pay Off. Ed Ithaca, New York: ILR Press.

Boccuzzo G., & Gianecchini, M. (2015), “Measuring young graduates’ job quality through a composite indicator”,  Social Indicators  Research, 122 (2), 453-478.

Borra, M.C. & Gómez García F. (2012), “Satisfacción laboral y salario: ¿compensa la renta laboral las condiciones no monetarias del trabajo?”, Revista de Economía Aplicada, 60 (20), 25-51.

Celma, D., Martínez-Garcia, E. & Coenders, G. (2014), “Corporate Social Responsibility in Human Resource Management: an analysis of common practices and their determinants in Spain”, Corporate Social Responsibility and Environmental Management, 21(2), 82-89.

Clark, A. E. (1996), “Job satisfaction in Britain”, British Journal of Industrial Relations, 34, 189-217.

Clark, A. E. & Oswald A. J. (1996), “Satisfaction and comparison income”, Journal of Public Economics, 65, 359-381.

Cloutier-Villeneuve, L. (2012), “Job quality in Quebec and the United Kingdom: Trends by sex and family satuts, 1998-2008”, International Labour Review, 1(2), 61-84.

Dahlsrud, A. (2008), “How CSR is defined: an Analysis of 37 definitions”, Corporate Social Responsibility and Environmental Management, 15, 1–13.

Díaz-Chao, A., Ficapal-Cusí, P. & Torrent-Sellens, J. (2015), “Determinantes multidimensionales en la calidad percibida del empleo. Evidencia empírica para España”, Revista Internacional de Sociología, 73(1).

Diller, J. (1999), “A social conscience in the global marketplace?”, International Labour Review, 138(2), 99-129.

Dobers, P. & Springett, D. (2010), “Corporate social responsibility: discourse, narratives and communication”, Corporate Social Responsibility and Environmental Management, 17, 63–69.

Edgar, F. & Geare, A. (2005), “HRM practice and employee attitudes: different measures-different results”. Personnel Review. ProQuest Psychology Journals, 34(5), 534-622.

Ellis, L. & Bastin, C. (2011), “Corporate Social Responsibility in times of recession: changing discourses and implications for policy and practice”, Corporate Social Responsibility and Environmental Management, 18, 294–305.

European Commission (2001a), Green paper – Promoting a European framework for corporate social responsibility. COM 2001, 366 final, Brussels.

European Commission (2001b), Employment and social policies: a framework for investing in quality. COM 2001, 313 final, Brussels.

European Comission (2003), Improving Quality in Work: A Review of Recent Progress. COM (2003) 728 final. Luxemburg.

European Comission (2005), A new start for the Lisbon Strategy- Working together for growth and Jobs. COM (2005) 24 final. Brussels.

European Comission (2008), Measuring the Quality of Employment in the EU. Pp. 147-165 in Employment in Europe Report 2008. Luxemburg.

European Comission (2011), A renewed EU strategy 2011-14 for Corporate Social Responsibility. COM (2011) 681 final, Brussels.

Eurofound, European Foundation for the improvement of living and working conditions (2007). Measuring job satisfaction in surveys. Comparative analytical report. Plublished in: http://www.eurofound.europa.eu. (Accessed April 2016).

Ferrer-i-Carbonell, A. & Frijters, P. (2004), “How important is methodology for the estimates of the determinants of happiness?”, The Economic Journal, 114, 641–659.

García E. & García, J.R. (2006), “Determinants socioeconòmics de la satisfacció laboral a Catalunya”, Nota d’Economia, 86., 99-119.

Gamero, C. (2003), “Análisis económico de la satisfacción laboral”. Tesis doctoral presentada en el departamento de Economía Aplicada de la Facultad de Ciencias Económicas y Empresariales de la Universidad de Málaga.

Gamero, C. (2010), “Satisfacción laboral de los asalariados inmigrantes”, Revista de Economía Aplicada, 54 (18), 33-56.

Garriga, E. & Melé, D. (2004), “Corporate Social Responsibility Theories: Mapping the Territory”, Journal of Business Ethics, 53, 51–71.

Gius, M. (2012), “The Effects of District-Level Union Status on the Job Satisfaction of Teachers”, The Economic and Labour Relations Review, 23, 79-90.

Goldman, B.M., Gutek, B.A. & Stein, J.H. (2006), “Employement Discrimination in Organizations: Antecedents and Consequences”, Journal of Management, 32(6), 786-830.

Guest, D.E. (2002), “Human resource management, corporate performance and employee wellbeing: building the worker into HRM”, Journal of Industrial Relations, 44(3), 335-358.

Guest, D. E. (1998), “Is the psychological contract worth taking seriously?”, Journal of Organizational Behavior, 19, 649–664.

Hamermesh, D. S. (2001), “The changing distribution of job satisfaction”, Journal of Human Resources, 36, 1-30.

Harley, B. (2002), “Employee responses to high performance work systems practices: analysis of the AWIRS95 data”, The Journal of Industrial Relations, 44(3), 418-434.

Harley, B., Allen, B.C. & Sargent, L.D. (2007), “High performance work systems and employee experience of work in the service sector: the case of aged care”, British Journal of Industrial Relations, 45(3), 607-633.

Herzberg, F., Mausner, B. & Snyderman, B. (1959), The motivation to Work. New York: Ed Wiley.

Kalmi, P. & Kauhanen A. (2008), “Workplace innovations and employee outcomes: evidence from Finland”, Industrial Relations, 47(3), 430-459.

Kehoe, R. R. & Wright, P. M. (2013), “The Impact of High-Performance Human Resource Practices on Employees’ Attitudes and Behaviors”, Journal of Management, 39(2), 366-391.

Kucel, A. & Vilalta-Cufí, M. (2013), “Job satisfaction of university graduates”,  Revista de Economía Aplicada, 61 (21), 29-55.

Lee, M.D. (2008), “A review of the theories of corporate social responsibility: its evolutionary path and the road ahead”, International Journal of Management Reviews, 10, 53–73.

Lindgreen A. & Swaen, V. (2010), “Corporate Social Responsibility”, International Journal of Management Reviews, 12 (1), 1-7.

Macky, K. & Boxall, P. (2007), “The relationship between high-performance work practices and employee attitudes: an investigation of additive and interaction effects”, International Journal of Human Resource Management, 18(4), 537-567.

Macky, K. & Boxall, P. (2008), “High-involvement work processes, work intensification and employee well-being: A study of New Zealand worker experiences”, Asia Pacific of Journal Human Resources, 46(1), 38-55.

Murillo, D. (2008), “L’eclosió de la responsabilitat social de l’empresa. Una visió des de Catalunya”, Revista del Centre d’estudis Jordi Pujol, 10, 38-46.

O’Donnell, M., A.K.L. Jayawardana and Jayakody J. A. S. K. (2012), “Organisational Support and Employee Commitment in Sri Lanka”, The Economic and Labour Relations Review, 23, 125-142.

Peccei, R. (2004), “Human Resource Management and the search for happy workplace”, Inaugural Adress of Erasmus Research Institute of Management. Erasmus University Rotterdam.

Pouliakas K. & Theodossiou, I. (2010), “Differences in the job satisfaction of high-paid and low-paid workers across Europe”, International Labour Review, 149(1), 1-29.

Ramsay, H., Scholarios, D. & Harley, B. (2000), “Employees and high-performance work systems: testing inside the black box”, British Journal of Industrial Relations, 38(4), 501-531.

Rico, P. (2012), “Satisfacción laboral de los asalariados en España”, Revista de Métodos Cuantitativos para la Economía y la Empresa, 14, 137-158.

Rousseau, D. M., & Greller, M. M. (1994), “Human resource practices: Administrative contract makers”, Human Resource Management, 33, 385-401.

Rhodes, C. & Harvey, G. (2012), “Agonism and the possibilities of ethics for HRM”, Journal of Business Ethics, 111, 49-59.

Rose, M. (2003), “Good deal, bad deal? Job satisfaction in occupations”, Work Employment and Society, 17(3), 503-530.

Sánchez-Sellero, M.C., Sánchez-Sellero, P., Cruz-González, M. & Sánchez-Sellero, F.J. (2014), “Características organizacionales de la satisfacción laboral en España”, Revista de Administração de Empresas, 54 (5), 1-12

Sousa-Poza, A. & Sousa-Poza, A.A. (2000), “Well-being at work: a cross-national analysis of the levels and determinants of job satisfaction”, Journal of Socio-Economics, 29, 517-538.

Spector, P.E. (1997), Job satisfaction: Application, assessment, causes, and consequences. London: Ed. Sage

Spencer, D. (2013), “Promoting High Quality Work: Obstacles
and Opportunities”, Journal of Business Ethics, 114(3), 583-597.

Wright, P. M., & Nishii, L. H. (2007), “Strategic HRM and organizational behavior: Integrating multiple levels of analysis, CAHRS Working Paper Series, 468.

[FULL] Aricle 2, Volume 3 Issue 1

Budgeting Beyond Budgeting: A Tool for Management, Surprise Avoidance, Trust Creation and Organizational Learning

Author

Josep Maria Rosanas

Abstract

While for quite a long time the budget was considered one of the crucial management tools, it has always been subject to criticisms, which have become stronger in the last couple of decades, under the commercial name of “Beyond Budgeting”. In this article, we review the history and foundations of budgeting, to show how typically, the criticisms to budgeting have to be addressed to a bad management style, and not to the technique itself. Then, I use an example to show how budgets can be used to the firm’s advantage in many fields, but mainly in being able to avoid unpleasant surprises, create trust between the different hierarchical levels of the firm, and enhance learning in the positive sense. This allows the firm to avoid vicious circles that are often found in the practice of budgeting because of bad management, not because of the budgets themselves.

Keywords

1.        Introduction

Towards the middle of the XX Century, the budget was almost “the” management tool. Nevertheless, at this time, some criticisms about budgeting started to arise already, mainly about the time and effort needed to prepare them and analyze them, and about how to balance different objectives that were pursued with them as well. Already in the 21st Century, and under the name of “beyond budgeting”, new proposals to eliminate budgets and replace them with other tools appeared. In spite of that, as we will see, most firms continue to have them.

A matter often neglected in the literature on budgets (both textbooks and academic journals on the one side and in publications for professionals on the other often ignore, or simply tiptoe on the subject is nevertheless crucial. It is the matter of how the budget process takes place within the control process as well as within the organizational climate and management of the organization, which is crucial in order to obtain good results.

This paper aims to analyze some of the problems related with budgeting. Specifically, I intend to argue that: (1) budgets, when they are used rightly, are very useful and, thus, to suppress them is usually a bad decision; (2) if they are understood as a mere technical tool, then they become a mere bureaucratic requirement void of meaning and even harmful; (3) the way management handles the budgetary process is crucial for the process to go one way or another; (4) an important part of the usefulness of the budgetary process rightly done (subject that has received very little attention in both the academic and in the professional literature) derives more from their contribution to the human functioning of the organization than from the objective result of budgets (i.e., the documents containing the financial plans); and, finally (5) that the learning budgeting introduces is even more important perhaps.

I will proceed as follows. First, I will briefly review the history of budgets, to show they are a tool whose use is complex and has many non-technical aspects, possibly conflicting objectives and that have to be based on a contingency approach. Then, I will show the typical objections to budgets, analyze them, and go to describe a summary of an example of the budgetary process of a particular company. I will attempt to show how it can be used right in the context of a reasonable structure and management process, and how it can be misused to become a sterile routine that goes against its own essence and its own objectives. Finally, I will draw some conclusions, both of a conceptual nature and for business practice.

2.        Development of budgeting and early criticisms: a historical view

Towards the middle of the 20th Century, budgets were almost the management technique par excellence. To be sure, at the beginning of that Century, there were other management techniques. Taylor and his followers had created many successful ones under the name of “Scientific Management”, but all these techniques were rather “partial”, having to do with only one specific activity or one aspect of the firm (in general, of a routine or mechanical kind), not as a wholistic technique encompassing the firm in its entirety.

Henry Fayol, already in 1916, published a book (in France, which made him less known in the Anglo-Saxon world until the end of the 40’s, when a good translation of his book was published) that has had a lot of influence in the management literature. There, he established the five elements (or functions) of management: planning, organizing, commanding, coordinating and controlling that later on became the basis of organization in most introductory textbooks on administration. He did not use the word “budget” (except only once in the context of public administration budgets), but of course the French original word, prévoyance, which is often translated as “planning” as the first of the five elements, has a lot to do with budgeting. In fact, we can see that he intended to go well beyond what later on everybody meant as “budgeting”, including the way the planning process should take place. The word prévoyance itself (which could have been translated as “forethought”) is closer to suggesting (perhaps even more than planning) that the output of the process should include both a mere forecast of how environmental variables would evolve, and at the same time, an expression of the decisions made by management., which is exactly what a budget should be.

However, the implementation of Fayol’s idea into practice did not take place very quickly. According to Hofstede (1968, pp. 20-22), in the US the use of budgets in private firms started in the 1920’s with principles clearly derived from the budget technique used in government; and, at the same time, they can be seen as a logical extension of Taylor’s Scientific Management (Fayol, at that time, was largely unknown in the US). Large-scale application of budgets started in the 30’s, in the Depression years. In 1941, a detailed survey of companies employing a total of 850.000 people, found that roughly 50% used budgetary control; while in 1958, a different sample of 424 companies found that 95% of them did. So, the 50’s were probably the years in which budgets made a lot of progress. In Europe, there was a time lag of about 10 years with respect to the US (Hofstede, 1968).

So, budgeting was a success story in a rather short time after World War II. A basic accounting textbook that become very popular at the time would state that “Management primary function is to plan (…) Budgets are the expression, largely in financial terms, of management’s plans for operating and financing the enterprise…” (Gordon and Shillinglaw, 1964, Ch. 23). In brief, they are the quantitative expression of management’s primary function. Many years later, already in the XXI Century, two well-known researchers, Hansen & Van der Stede (2004) continued to feel the same way: “budgeting is an important control system in almost all organizations”. Therefore, there is no doubt that budget was and still is considered to be, an important management tool or procedure.

3.        Non-technical aspects of budgeting

Nevertheless, not everybody agreed. From the very beginning, some (positive!) warnings, that were to become criticisms later on, already appeared. The two landmark, managerial (as opposed to merely technical) books that probably contributed more than anyone else to the dissemination of budgets (Dearden, 1962; Hofstede, 1968) already warned that the task of preparing a good budget and then using it for control purposes was not easy. Calling them “general rules” or “axioms”, but in a way that sounds like “grandfather’s advice”, Dearden gives some recommendations about how to prepare budgets and who should do it. For example, that the person preparing the initial budget should be the person responsible for operating under it; or that line personnel should be informed of the plans, objectives and timing of the system, that budget personnel should lean over backward to be scrupulously honest with line personnel, and so on (Dearden, 1962, pp 93-102).

Hofstede (1968) gives a long list of recommendations to put budgets into practice as well, and his use of the word “game” in the title already suggests that budgets are not going to be a straightforward technique with no need for “judgment”. This time, his list comes from a clinical study of a limited number of firms; but he recognizes that his recommendations go beyond the strict limits of his findings.

The recommendations embrace all levels of the organization and they are far too long to be summarized; but I will to focus on some of them that are particularly important for the purpose of this paper. For instance, there is a recommendation that is common to all levels of “line” personnel, from tom management to foremen or first-line managers: that the budget system is their tool to manage the company. Consistently, Hofstede tells the controller and budget accountants that the success of a system depends on the line managers, not on themselves; and therefore they must provide assistance and supply the data needed, but the actual figuring of the budget has to be done by line managers (Hofstede, 1968, Ch. 15). Therefore, budgets are a tool, but not merely technical: judgment has to be used by the people that do them to make decisions. Hence, using them “right” or using them “poorly” will make a lot of a difference in the results, because of the different reactions that may be elicited from the line people affected. As we will see below, “lying” or “not lying” in the process, and “taking interest in it” or not depends on the way the budgetary process is designed and implemented.

In other words, budgets have to be considered a management activity, and, thus, have to be accepted in managerial terms. One should not expect budgets to be a technique that does not need managerial abilities to be applied, or a technique that works alone automatically, or is done by specialists in accounting and/or finance. On the contrary, it is something that has to be applied by line management, largely by people whose training in accounting is rather limited, as accounting is not their job (like people in production or sales, who typically are a big percentage of the firm’s payroll) and thus has to be as simple as possible. Otherwise, one should not be surprised to find most of the people involved to be strongly against budgets. They may simply misunderstand budgets or budgets may require from them an unreasonable effort.

4.        Conflicts in budgeting objectives

But there is an additional point that is, for our purposes, crucial. It has to do with the raison d’être of budgets. Why do we do budgets at all? One of the essential reasons for criticism at the top management level has always been the ambiguity in the objective to be attained with budgeting. An cursory examination of the books that covered the subject in the 60’s and 70’s of the past century would show that the frequently found expression “budget control” would suggest that control was the primary objective. Since, as I stated before, budgets were “imported” from public management, the literal translation of them into business practice was to make decisions on how much to spend in every activity or department, and then try to explain the possible variances. Fayol’s main purpose (1916) was to foresee what could happen so that, if something “bad” were thought to be likely to occur, actions could be taken to prevent it from happening. This is close to “planning”, but fell short of this concept, which was the next step; and, of course, planning and control are the two sides of the same coin (Anthony, 1965) and motivation immediately follows. This triple objective (planning, control and motivation) was explicitly analyzed by Barret and Fraser (1977) in some detail, mainly from a practical point of view, showing how there is some degree of conflict between any two of the three objectives. Thus, a budgetary system cannot emphasize them all at the same time: the priorities should be clearly established to avoid fighting in different and disperse directions. Depending on the firm, on the environment, and on the firm’s strategy, and (as we will see below) on the Critical Success Factors, it will be wise to emphasize one or another of the three mentioned objectives.

The situation will get more complex if instead of three objectives we consider four or more.  Many textbooks add “communication” and “coordination”, whose degree of importance depends on the degree of centralization/decentralization with which the firm is governed. At a different level of abstraction, other researchers mention as objectives of budgets “directing management’s attention from the present to the future”, “enabling managers to anticipate problems in time”, “giving managers an ongoing reminder of actions they have agreed to” (Shillinglaw & Meyer, 1983). Hansen and Van der Stede (2002) have re-examined the issue of multiple objectives more recently. Obviously, many of these objectives are related to each other, but the fact that there may be some degree of conflict remains nevertheless.

5.        The “contingency approach” to management accounting

An important point in this context is the contingency theory of management accounting (Otley, 1980). This expression, of course, comes from Lawrence and Lorsch (1967), who argued that there is an “important relationship among external variables (the certainty and diversity of the environment, and the strategic environmental issue), internal states of differentiation and integration, and the process of conflict resolution. If an organization’s internal states and processes are consistent withe external demands, the findings of this study suggest it will be effective in dealing with its environment”. Therefore, “managers can no longer be concerned about the one best way to organize”” (pp. 156-7).

Vancil (1973) and Anthony, Dearden & Vancil (1972) can be said to have applied that to management control systems although they used neither the word contingency nor the names of Lawrence and Lorsch, either in the article or in the book. But what they were saying, in fact, was that before designing measures of the financial responsibility of managers, one has to consider the strategy and structure of the company. Not directly mentioning budgeting as such, they go to the general design of the control system and emphasize that they have to be based on the key economic variables: “an effective system is highly situational” (…) it must be tailored to the specifics of the situation: this company’s objectives, this company’s business, and this company’s managers” (Anthony et al., 1972, chapter 4).

Furthermore, given the environment, given the product, and given the company’s strategy, there are “critical success factors” (CSF) around which the control system has to be centered. Identifying those factors is not easy, and it may take years of better understanding the environment and better redefining the company’s strategy. “For a management control system to be effective (…) each characteristic must be thoroughly understood along with its implications for systems effectiveness” and (…) it must identify the CSFs that should receive careful and continuous management attention if the company is to be successful, and must highlight performance with respect to these key variables in reports to all levels of management.” (Anthony et al., 1972, chapter 4). This, of course, includes budgets, considered an essential tool in the management control process, in the same line of being an indispensable part of the primary management function of planning, as in the Gordon & Shillinglaw quote above.

The obvious consequence of the contingency approach (a much better expression than “contingency theory”, because rigorously speaking, a contingency theory is no theory at all!) and of the multiple objectives of the budgeting system is that both the budgeting techniques and the budgetary process have to be adapted to all these factors. The budgeting process, thus, is of a non-technical nature and has to be based on the basic management concepts. Therefore, it has to do with the organizational structure and personal interrelationships within the organization. In short, not only there is “no one best way to budget”, but also the way to budget in a specific firm at a given point in time depends on many factors, some of them with important elements of subjectivity, namely, the identification of the critical success factors and the strategy that follows.

Subsequent research took a slightly different road, even though the spirit was the same. Thus, Bruns and Waterhouse (1975) showed how there is a clear relationship between organization structure and the use and behavioral effects of budgets providing interesting insights into several complex relationships suggested by other research on control in organizations, and Flamholtz (1983) examined the budgeting practices in the context of a wide concept of management control systems and its relationship with the organizational settings, both in theory and empirically. But in any case, budgeting was not seen as a mere technical device, but as a practice that had to take place in the context of a strategy and critical success factors, and closely related to behavioral considerations.

6.        Objections to budgets

Through the years, many objections have been formulated to budgets, often because of problems that have arisen due to not paying enough attention to the recommendations of classical books like those of Dearden and Hofstede. Actual practice in the real world has always been, and continues to be, very diverse, but a trend towards using budgets mechanically and thus inducing different types of gaming has been almost a constant. Two dysfunctional practices along those lines even have a name: ratcheting and storming. Ratcheting consists in management automatically raising quantitative targets (say, sales) when the previous target has been achieved. This practice clashes with the spirit of a reasonable budgeting process, but at the same time, it is easy to predict what is going to happen: objectives will not be achieved to avoid having to face targets that are more difficult in the next period.

Storming consists of anticipating sales, say, that are supposed to take place in January, to December, if it looks as if the sales objective is not going to be met, thereby transferring the problem to the next period. This practice has been at the origin of many scandals, because every year the problem is bound to become bigger and, at the end, fake sales, fake reports or both are the only way to achieve targets. Of course, the opposite may also be done: if it looks like the yearly objectives are going to be met, or even surpassed, one may delay the recognition of some sales to make it easier to meet next year’s targets. In both cases, we get a vicious circle that goes against the company objectives.

Hansen et al. (2003) provide a list of the following problems, taken from Neely et al. (2001):

  1. Budgets are time-consuming to put together;
  2. Budgets constrain responsiveness and are often a barrier to change;
  3. Budgets are rarely strategically focused and often contradictory;
  4. Budgets add little value, especially given the time required to prepare them;
  5. Budgets concentrate on cost reduction and not value creation;
  6. Budgets strengthen vertical command-and-control;
  7. Budgets do not reflect the emerging network structures that organizations are adopting;
  8. Budgets encourage gaming and perverse behaviors;
  9. Budgets are developed and updated too infrequently, usually annually;
  10. Budgets are based on unsupported assumptions and guesswork;
  11. Budgets reinforce departmental barriers rather than encourage knowledge sharing;
  12. Budgets make people feel undervalued.

According to Libby and Lindsay (2010) “… some argue that the problems with fayolbudgeting stem from the way budgets are used (Horngren et al., 2004) while others argue that budgeting processes are fundamentally flawed (Hope and Fraser, 2003a)”. But since the objective of Libby and Lindsay is to present empirical evidence with respect to budgeting practices, they do not analyze in depth the reasons people like Horngren have to justify their position; which is just what this paper intends to do next.

Let us, then, briefly examine each one of the problems suggested by Hansen et al. (2003) above.

Numbers (1) and (4) have to do with the cost of doing the budgets and the time to prepare them (which is part of the cost, of course). Naturally, the design of a budgetary system can be made more or less expensive depending on the circumstances; but the disproportion between cost and value added indicated by (4), when it happens, responds to a bad design.  A good design does not add cost that is not compensated by additional value: simplifying budgeting procedures, when they do not add value is one of the classical principles expressed by Dearden and Hofstede.

Objections (2), (6), (7), (11) and (12) have to do with the structure and the relationships between people in the organization. But budgets by themselves cannot do such things. It is the people that act in the process that can do them or not. People feel undervalued when the hierarchical superiors make them feel so, not because of the budget. The way the budgets are done, mainly if they are done mechanically and without the active participation of the hierarchical superior may indeed make people feel undervalued; but , again, this goes directly against the spirit of the classical texts on budgeting. Doing things wrong does not make the tool useless or harmful.

Objection (10), of course, is a bad practice. All assumptions have to be supported; and, as we will see, budgeting is a good way to learn how to forecast better and how to meet the budgeted figures.

Objections (3), (5) and (9) are particularly bad practices in terms of budgeting: if a budget in not rooted in the critical success factors and the strategy, it will be worse than nothing, if it does not help to create value beyond its cost, a budget should be simplified, and if the business is very dynamic, they should be updated as frequently as needed. Other practices are simply bad practices.

A particularly interesting objection is objection (8). This is very often argued; but we will attempt to show in our example below how whether this happens or not, depends on how the budgeting process is carried out. The management quality (or its lack thereof), and not the budget, is to be blamed if something like this happens.

Therefore, if done right, budgets do not have all those problems; and, thus, if they actually do, it must be because of bad management or misuse of the tool. Whether the budget itself “pushes” organizations into those practices even with good management would be something that would have to be proved by the accusation, not by the defense.

7.        Beyond budgeting

However, and since the beginning of the 21st Century, criticisms have gotten worse, both from the consulting world and from the academic world. From the first group, Jeremy Hope and Robin Fraser have been perhaps the sharper critics, for instance in an article whose title (“Who Needs Budgets”, Hope and Fraser, 2003a) already suggests that budgets are useless. The expression “Beyond Budgeting”  (Hope and Fraser, 2003b) has been their motto, suggesting that we should go beyond budgeting to something else. In one thing they are absolutely right: budgets cannot solve everything, and, thus, we have to go often beyond budgeting, but this does not mean that we can dispose of the budgets. Or, in other words, budgeting may have to be very often the starting point.

But their criticisms are nothing really new. They go back to the idea that budgets are rigid, help centralization, and are based on a “command and control” approach. And, taking advantage of the favorable tide of balanced scorecard, they propose a wider set of measures to evaluate performance.

Given today’s advances in management tools, indices that are broader than the merely financial numbers, may indeed be, and often are, very useful. We have to be careful, though, because there are clear dysfunctional (or even perverse) consequences of performance measures when they are used mechanically and have an incentive payment automatically associated (Ridgeway, 1956; Rosanas & Velilla, 2005; Cugueró-Escofet & Rosanas, 2013 and 2016). Hence, eliminating the budget in order to introduce a wider set of performance measures is (a) simply ignoring what the budgeting processes can actually achieve, and (b) introducing a new tool that, if misused like the budgets are when some of the criticisms above are true, may be even more dangerous than the budget.

On the academic side, the best-known critic is Jensen (2001), but his criticisms go almost exclusively to the incentive systems based on receiving a reward if some (budgetary) goal is achieved, and nothing if it is not, perhaps with a linear increase beyond the budgeted goal. His proposal, basically, is that the reward should be linear from zero, i.e., that the goal should not even exist. The explicit problem of goal-setting (and of the rewards based on such goals) is more general, in fact, and is only indirectly related to the budgetary procedures.

Merchant’s criticisms (2013) go along similar lines, using even stronger words, as can be seen in his title (“Companies Get Budgets All Wrong”), but in fact he goes back to the idea that firms need a richer set of performance measures and need to be more flexible.

In fact, empirically, and in spite of the apparent success of the “beyond budgeting” expression and methods, most firms have not discarded their budgeting systems (Libby & Lindsay, 2010). Therefore, their arguments do not seem to have been very convincing, in spite of all the marketing they have had.

The (limited, I should add) success that they have had is to some extent surprising, because in fact in their analyses they ignore most of the factors that have been summarized in this paper in relation to the different objectives of budgeting and focusing almost only in the incentive system induced by goal-setting procedures. This is the reason why we want to finish this article with the analysis of a budgetary system that is useful, and that through an adequate budgetary process and an adequate management style, succeeds in doing the opposite to what the critics argue.

8.        The management control process

The classical textbook treatment of the budgetary process is technical, descriptive and quantitatively oriented. It says (mistakenly, sometimes) that it begins with the marketing people preparing a sales forecast or budget. Mechanically, it seems only logical. Next, it continues in the different departments with a budget of costs and expenses, given the sales volume and perhaps production volume, ands it ends in the controller department putting everything together in the form of a “master budget”, which consists mainly of the pro-forma financial statements. At most, it mentions that there is a ‘negotiation process’, that sometimes a ‘budgetary slack’ is introduced, and mentions some of the usual problems found in that area (‘storming’, ‘ratcheting’, and so on) merely as problems. And, thus, possible negative aspects of the budgetary process that are, implicitly again. inevitable.

From an academic point of view, a clear example of the mechanistic approach that agency theory assumes in management control settings can be found in Heinle et al. (2014). In that paper, only two types of budgeting are considered: participative (i.e., bottom up) or non-participative (i.e., top down). Only extreme possibilities are taken into account: decisions are made either at the top and transmitted down the line; or else, they are made at the bottom and are accepted by the upper levels. Dialog and compromise are excluded. The previous attitudes of principal and agent that typically follow their experience with each other, and determines their willingness to cooperate, the organizational climate, the possible identification with the organizational objectives, the atmosphere of trust between them, and many other qualitative and behavioral variables are ignored too, consistently with the basic agency theory model. The management control process, thus, is stylized in what is actually is a caricature of what happens in reality: only a sequence of events is described, without human interaction. No wonder that many people want to get rid of it.

Very few cases or textbooks describe real-world budgetary processes, often because, as we have argued, they are often inappropriately carried out. Doing a budget correctly, with the criteria analyzed above where simplicity is an important one, is a quite difficult endeavor. Next, I will try to summarize one, taken partly from a classic Harvard case, where this is done in some detail and comment on it[1]. A parallel example can be found in Vancil (1973, p. 80, “Company C”), although inevitably with some degree of simplification.

 

8.1.     Critical success factors

First, in terms of the conceptual framework presented above, in order to design a budgetary process one has to identify the “critical success factors” for the company, given the industry and the strategy of the company. In this case, one could identify that what the company has to do well to survive and make a profit are essentially three things: good quality, good service (mainly in terms of delivery) and costs. Glass products are typically for customers that manufacture different types of liquids (all kinds of beverages, chemicals, perfumes, and so on), where the value of the glass receptacle that holds it is small compared with the value of the product itself; and they do not want to run the risk of  a poor quality bottle ruining the product. Service (mainly in terms of delivery) is crucial as well. Imagine a producer of soft drinks in the middle of a hot summer: demand increases more than expected, and many bottles are needed to meet this demand. If this is true, then, the glass company has to have flexibility to deliver the glass product when it is needed. And for this purpose, and given the rigidities of the production process, it needs to have a very accurate sales forecast and production scheduling that can later be adapted more easily to meet all the production constraints. Thus, this has to be a high priority of the budgetary process. Inventories are not the solution to the problem: they are expensive to carry and to store (essentially, you carry and store air…). As we will see, this can only happen if the budgetary process induces trust between bosses and subordinates.

 

8.2.     Top management involvement

A second important aspect is the Hofstede principle that top management has to consider that the budgets are their tool to run the company, and therefore have to be involved in it from the very beginning. In the case cited before, the CEO starts the process by asking his divisional managers to submit preliminary estimates of sales and income for the next year, the capital requirements for the same year and an even rougher outlook for the two following years. The divisional managers do not have the time to go through a detailed analysis (which is going to be done only later) and thus they can base their estimates only on their first-hand knowledge of the business. Thus, this small beginning of the budgetary process has already the good property of submitting the management team to an “exam” every year for which they have to be prepared by knowing their business very well. If they do, they will get close to the final result of the budgetary process and this will nurture trust between the CEO and the first-line officers.

 

8.3.     A non-issue: participative budgeting

Next, a technical staff goes to work in market research, based on the available statistics of the evolution of markets and the market trends and climate. This will provide a good check for the “real” sales budget, to be done next by the Sales division, and already gives the flavor of what the sales budget may look like at the end of the process.

The “real” sales forecast is prepared next with a “bottom up” approach. Not in a stylized way, but with a real dialog and discussion at the different hierarchical levels. Salespeople know their customers and their needs, and can attempt to predict what may happen with them next year, but may not know some market trends or the movements of a competitor, and so on, and thus they may be unnecessarily optimistic or pessimistic.

This point is crucial, because if this is done the wrong way, may drastically reduce the usefulness of the budgets. Suppose, for instance, that management responds to a forecast from the sales people by asking systematically for more (not an uncommon practice, certainly). Then, it would not be surprising to find that next year the sales people understate the amount they think they can sell; which may create really a vicious circle where the results are completely unrealistic. Dialog and negotiation have to result in something that is reasonable and acceptable to both parties; and if this does not happen at the end of the process, we may have created a monster for the next period.

Obviously, a “tolerant” management that accepts every proposal from the “bottom” without discussion may create an even worse problem: that of people not making any effort in order to improve the results. As usual, in Aristotelian terms, the virtue is in the middle. In fact, the budgeting process has to be used (1) to obtain an accurate sales forecast, which is necessary given production rigidities, and (2) as the instrument to create trust within the sales organizations between the different hierarchical levels. The two of them are crucial, but (1) cannot be obtained without (2). If mistrust installs, then we will have all types of gaming behavior like those included in the above criticisms. The attitude of the different levels of management towards their subordinates will be determinant to this respect.

The third important aspect is then that the “participative budgeting” issue vanishes in this context: all budgeting has to be participative from the point of view that subordinates have to be listened to, and all budgeting has to be to some extent “top-down” from the point of view of attempting to obtain better goals. The technical study done by a marketing research staff may be a good too for that purpose, with at least two consequences. First, that sometimes the marketing research study will indicate the line managers that they are perhaps too optimistic: this may happen, for instance when all customers (producers of soft drinks, for instance) believe that they will gain some market share from the others. Then, the forecast prepared the line people may be too optimistic, and the market study will indicate that: it is impossible for all the customers to grow, say, 4 % next year if the total growth of the industry has been projected at, say, 2% only. If this never happens, it will be a clear indication on the part of the line managers that they engage in “ratcheting” or a related form of gaming; and trust between bosses and subordinates will go down the drain.

As we mentioned before, in the particular company cited, an accurate sales forecast was crucial for success; thus, once the discussion had ended, the sales forecast would receive the approval of the Top Management and would be complete. It would not be modified unless at the beginning of the period of its execution it became clear that market circumstances were different from the ones assumed in the budget.

8.4.     Cost and expense decisions

Production, so far, had not participated “formally” in the budget, although through informal relations they knew more or less what was going on. After the sales forecast was finished and approved, production plants would prepare: (1) a schedule of production; (2) a standard cost-based statement of direct production costs; and (3) a complete statement of all the fixed costs, including of course committed costs (about which no decision had to be made) and discretionary costs, that had to be the result of an always difficult decision. The production plants were considered profit centers, as a consequence of the critical success factors. If the results were not satisfactory, the plants’ budgets, primarily the decisions on discretionary costs would have to be revised. Management’s objective was not that of maximizing profit, was to obtain a reasonable profit that would satisfy the shareholders. For that purpose, if, in a given year profit was less than reasonable, the plants were asked to revise their budgets. Under no circumstances the sales budgets would be revised: if they were considered correct under the assumptions made at the beginning, it made no sense to revise the sales budgets upwards, the accuracy of the budgets being a crucial variable.

 

8.5.     The role of the controller

A fifth issue is the role of the controller. The controller has to be of help in the technical, accounting aspects of the budget, not in filling out the figures. The production people may be very sophisticated engineers, but this does not mean that they are able to prepare appropriately an income statement. Non-accountants tend to mix cash inflows and cash outflows with accruals of different kinds in a meaningless way. For instance, in thinking that today’s investments affects this year’s income statement, or that postponing to next January the payment of some raw materials will increase profit for this year, and often forget that what is spent in some class of expenses cannot be spent in a different class. The controller has to be helpful in this, and perhaps in forecasting techniques or in variance analysis, but he should never produce the numbers of the budget. In the case we are using as an illustration (a conglomerate with many plants) the controller would visit every year every plant for a half a day. He would attempt to make sure they all started with shared hypotheses, see whether the plans every plant was making was in agreement with the plans of top management, and suggest possible modifications. Those modifications could suggest cuts if he thought that the bottom line was insufficient, or perhaps (in the opposite direction), with a long run view, increasing spending in some discretionary costs if the plan could afford it, but with no authority to say yes or no to any proposals of the plant.

Again, participative budgeting is a non-issue, since the information about what is necessary or not and to what extent a plant could benefit from an increase in a discretionary cost is something that necessarily has to come from the plant, while the bottom line that is satisfactory has to come from the Top Management.

 

8.6.     Putting the budget together and budget review

Finally, at headquarters, and under the direction of the controller, the consolidation of the budgets from every division and analysis of the results would take place. If (again) the bottom line were not good enough, they would send the budget back to the plants so that they could reduce their expenses to meet the target.

Finally, the budget would be approved by Top Management.

During its execution, if management saw that some changes had happened in the environment that demanded a change in the budget, this change would be done; if this happened towards the end of the year, no change in the budget would take place. Notice that this procedure, poorly used, may induce rigidity; but wisely used, there is no reason why it should. A reasonable variance analysis after the fact that takes account of all these possible changes (for the better or for the worse) can take care of that.

9.        Discussion: good budgeting requires good management, based on an optimistic view of human beings

The previous discussion was based on a specific case. In others, things may well be different, because the critical success factors may well be different as well. For instance, in some other cases, the sales effort may be crucial and production scheduling not that much (say, because of the convenience of having enough inventories), and, then, the budgetary process has to be designed with other objectives in mind and emphasizing other variables, but again with the spirit of achieving something that is worth to achieve.

The key point is then the quality of management, in budgeting like in anything else. The quality of good management has to be based on hard evidence (Pfeffer and Sutton, 2006) and on a sense of mission, i.e., having as the main objectives of the firm those of satisfying the (real, as opposed to perceived) needs of customers, and the real (again, as opposed to perceived) needs of the employees. This cannot be done in a purely mechanical way, which is what (implicitly) some academicians deem to wish, as seen in the papers quoted.

Sumantra Ghoshal published in 2005 a posthumous paper which has possibly been his most influential one. In that paper, he criticized harshly an “ideology essentially grounded in a set of pessimistic assumptions about both individuals and institutions – a ‘gloomy vision’ (according to Hirschman, 1970) that views the primary purpose of social theory as one of solving the ‘negative problem’ of restricting the social costs arising from human imperfections”.

These pessimistic assumptions lead to bad management and to the bad practices that have been briefly discussed in Section #6: mechanical application of budgets, storming on the part of the “budgetees”, ratcheting on the part of management, and so on. It is undeniable that these things happen, and that therefore all the criticisms about them are right. But they are not inevitable, if the organization is managed right.

In fact, as Ghoshal (2005) and Ghoshal and Moran (1996) have pointed out, the pessimistic assumptions of people being only self-interested and doing only what they think is good for them, may well be a self-fulfilling prophecy. In physics, if we believe that the behavior of, say, quarks is different from what it really is, this belief does not change in any way the behavior of the quarks. In contrast, in management, if we believe people behave a given way, we clearly increase the probability of their behaving that way, be it for the good or for the bad. If you assume that human beings are going to behave badly (in our case, paying attention only to their own rewards instead of doing what is “good” for the organization) they are likely to end up actually doing that. Pérez López (1991) called this phenomenon “negative learning”, and is something that happens very often in organizations, in a context of a “control and command” management. When “no excuses are accepted” and the only thing management wants to see are “measurable results” (like, in the context of budgeting, achieving a sales target, a cost cut, or whatever), negative learning often occurs. The firm may end up achieving some short run objectives, but it will be at the cost of making it more difficult for the management to achieve the same objectives next time. Within a “control and command” context, employees learn what they have to do in order to protect themselves from being treated arbitrarily by management. And in a going concern that is supposed to last a long time, perhaps even forever, these practices will not facilitate the desired end.

Paradoxically, perhaps, budgets and variance analysis should be very useful (it may be their primary objective) in learning about the business, about the organization capabilities, about what can be expected and the likelihood of the unexpected, and so on. I began citing Fayol, and I want to go back to him now, because the word he used (prévoyance, or foresight) was intended to reduce, or eliminate altogether, surprises. From this point of view, we should do budgets to learn to do budgets better and avoid undesirable surprises. Of course, at a reasonable cost and making it as simple as possible.

10.   Conclusion

Whether budgeting is or is not a good management tool is a pseudo-problem. In any organization, a budget can be useful, even extremely useful; but it has to be done in a context of good management practices, not in the context of a system that, on paper, is technically perfect, but is not understood by the line people involved. It has to be tailor-made, depending on the specific circumstances of the environment, on the company’s strategy, and coherent with the management style of the company. Many of the shortcomings (if not all) of the budgetary systems can be attributed to bad management practices.

Obviously, a budgetary system by itself cannot solve all the decision-making problems of a company, and may need additional variables to be controlled by other means. In other words, we often may have to go beyond budgeting, but almost always in the context of a thoughtfully designed budgetary system.

References

Anthony, R.N. (1965). Planning and Control Systems: A framework for Analysis. Boston, Massachussets, The Harvard Business School Press.

Anthony, R.; Dearden, J.; Vancil, R. (1972). Management Control Systems: Text, Cases and Readings, Second edition, Richard D. Irwin, Homewood, Illinois.

Barrett, E., Fraser, L., (1977). Conflicting Roles in Budgeting for Operations, Harvard Business Review, 55 (4) July/August.

Bruns, W., Waterhouse, J., (1975). Budgetary Control and Organization Structure, Journal of Accounting Research, 13(2), 177-203.

Cugueró-Escofet, N., Rosanas, J. M. (2013). The Just Design and Use of Management Control Systems as Requirements for Goal Congruence. Management Accounting Research, 24(1), 23‑40.

Cugueró-Escofet, N., Rosanas, J. (2016, forthcoming). The Ethics of Metrics: Overcoming the Dysfunctional Effects of Performance Measurements through Justice, Journal of Business Ethics.

Dearden, J. (1962). Cost and Budget Analysis, Englewood Cliffs, New Jersey, Prentice-Hall.

Fayol, H. (1916). Administration Industrielle et Générale: Prévoyance, Organisation, Commandement, Coordination, Contrôle, Paris, Dunod,.

Ghoshal, S., (2005). Bad Management Theories are Destroying Good Management Practices. Academy of Management Learning & Education, 4 (1), 75-91.

Ghoshal, S., Moran, P. (1996). Bad for Practice: A Critique of Transaction Cost Theory. Academy of Management Review, 21(1), 13-47.

Gordon, M. and Shillinglaw, G., (1964). Accounting: a Management Approach, Third Edition, Homewood, Illinois, Richard D Irwin.

Flamholtz, E., (1983). Accounting, Budgeting and Control Systems in Their Organizational Contexts: Theoretical and Empirical Perspectives, Accounting, Organizations and Society, 8, 153-169.

Hansen, S., Otley, D., and Van der Stede, W., (2003). Practical Developments in Budgeting: An Overview and Research Perspective. Journal of Management Accounting Research, 15, 95-116.

Hansen, S., Van der Stede, W., (2003). Multiple facets of Budgeting: an Exploratory Analysis, Management Accounting Research, 15, 415-439.

Heinle, M., Ross, N., Saouma, R., (2014). ‘A Theory of Participating Budgeting’, The Accounting Review, 89(3), 1025-1050.

Hirschman, A., (1970). The search for paradigms as a hindrance to understanding, World Politics, March.

Hofstede, G., (1968). The Game of Budget Control, London, Tavistock.

Hope, J. and Fraser, R., (2003a). ‘Who Needs Budgets’, Harvard Business Review, 81(2) 108-115, February.

Hope, J. and Fraser, R. (2003b). New Ways of Setting Rewards: The Beyond Budgeting Model, California Management Review, 45 (2), Winter.

Jensen, M., (2001). ‘Corporate Budgeting is Broken. Let’s Fix It’, Harvard Business Review, 79 (10), 95-101.

Lawrence, P, and Lorsch, J., (1967). Organization and Environment, Homewood, Illinois, Richard D. Irwin.

Libby, T., Lindsay, R.M., (2010). Beyond Budgeting or Budgeting Reconsidered? A Survey of North-American Budgeting Practice, Management Accounting Research, 21, 56-75.

Merchant, K., (2013). ‘Companies Get Budgets All Wrong’, The Wall Street Journal, http://www.wsj.com/articles/SB10001424127887323873904578571810482331202, accessed February, 11, 2016.

Neely, A., M. R. Sutcliff, and H. R. Heyns. (2001). Driving Value Through Strategic Planning and Budgeting. New York, NY: Accenture.

Otley, D., (1980). ‘The Contingency Theory of Management Accounting: Achievement and Prognosis’, Accounting, Organizations and Society, 5(4), 413-428.

Otley, D., and Berry, A., (1980). ‘Control, Organisation and Accounting’, Accounting, Organizations and Society, 5(2), 231-244.

Pérez López, J.A.  (1991) Teoría de la Acción humana en las organizaciones, Madrid, Ediciones Rialp.

Pfeffer, J., Sutton, R., (2006). Hard Facts, Dangerous Half-Truths & Total Nonsense: Profiting from Evidence-Based Management. Boston, Mass., Harvard Business School Press.

Ridgeway, V (1956). Dysfunctional Consequences of Performance Measurements, Administrative Science Quarterly, 1(2), 240-247.

Rosanas, J. & Velilla, M., (2005). The Ethics of Management Control Systems: Developing Technical and Moral Values. Journal of Business Ethics, 57: 83-96

Shillinglaw, G., and Meyer, P., (1983). Accounting: a Management Approach, 7th Edition, 1983, Homewood, Ill, Richard D. Irwin.

Vancil, R. F. (1973). ‘What kind of management control do you need?’ Harvard Business Review, 51 (2) March-April.

[FULL] Aricle 1, Volume 3 Issue 1

The impact of ABC costing systems to solve managerial cost problems: a real improvement, a fad or a fashion?

Author

Natàlia Cugueró-Escofet

Àngels Fitó-Bertran

Abstract

One of the main problems of management profession is that there is not yet a corpus of theories and knowledge that can assist professionals to take adequate choices for solving the problems they actually have. Initially, we can assume that the inherent reasons for the explosion and diffusion of ABC are that these systems improve the efficiency of the selected strategy. However, a significant number of failures reveal a situation that can be attributed to other potential reasons, for instance a bad implementation. The existence of this paradox, lead us to investigate alternatives reasons for the diffusion of ABC. We show that there are alternative reasons for the diffusion of ABC, which may be a “fad logic” rather than a “problem solving logic” that we think should dominate management. We also argue that ABC systems are not introducing a revolutionary improvement in terms of the conceptualization of costs, as ABC is simply a way of using a full cost approach with a different conception of a cost center. Then, it can be useful mainly in cases where the decisions to be made can be better made using a full cost instead of other cost measures.

Keywords

1.        Introduction

The logic behind globalization has been the first reason to justify that management accounting practices have converged into a common set, shared by most organizations (Shields 1998). Globalization implies a new scenario in which the economic activity is redistributed and concentrated, therefore, to sustain competitive advantage companies would need to reduce transportation costs, improve telecommunications and use intensively information technologies; hence, management accounting is also affected by this process of convergence in which local frontiers disappear and practices associated are homogenized (Shields 1998).

Grandlund and Lukka (1998) state that “the world of management accounting practices seems to have become small and getting smaller […]. Even though there certainly still are notable differences in management accounting practices at the micro level from one country to another, due to, for instance, cultural factors or government regulation, there is reason to believe that convergence plays more and more of a role today” (Granlund and Lukka 1998,  p 155). In their research, Granlund and Lukka observe that seemingly similar managerial ideas or system designs (and it is the case of activity-based costing (ABC) or balanced scorecard (BSC)), have gained an increasing foothold all over the industrialized and post industrialized world. They argue that convergence drivers have started to dominate those of divergence, and identify four convergence drivers (labeled pressures in their study): economic and institutional pressures (e.g. global fluctuations, increased competition or advances information technology), coercive pressures (e.g. transnational legislation or headquarters influence), normative pressures (e.g. management accountants’ professionalization or research and teaching), and mimetic processes (e.g. from the imitation of leading companies practices and the international or global consultancy industry) (Granlund and Lukka 1998). For our purpose here, the most interesting driver is the mimetic process. The authors consider that when companies face uncertainty tend to copy management models or practices from the most successful companies, identified as those with a good reputation. Therefore, followers copy these practices in order to get as much legitimacy as possible for their own companies’ operations. As Granlund and Lukka mention, ABC costing systems, could have gained the reputation of being a strategic resource, and therefore possibly being a subject of mimetic processes.

Apart from the more neutral concept of mimetic process that we have already presented in the previous paragraph, a mimetic process can be considered a less positive process, in those cases of management practices that have been introduced as fads or fashions, which have not always been tied to improvements of effectiveness. Other authors are stronger in claiming that current empirical research in Managerial Accounting has added few findings or real contributions to the actual body of knowledge (Ittner and Larcker 2001, Luft and Shields 2002, Zimmerman 2001). Looking at the case of implementing ABC systems, Malmi (1999) finds that, once the diffusion of an innovative model starts, the mimetic processes amongst the rest of the organizations are crucial to make possible the diffusion process to continue over time.

From a broader perspective, Porter (1979) also questions the danger of adopting new management accounting systems without the appropriate strategic reasons behind, which would make them mere operating systems. And following Porter, this lack of strategic reasons to underpin new management accounting system’s implementation is considered to be one of the main causes to explain why many ABC’s implementation process have failed.

In organizations, the adoption of potential improvements in management control is done in business through several approaches. The rational approach in problem solving entails the existence of a problem that it is firstly perceived; then, some potential courses of action to solve this perceived problem; after this a potential solution, and finally how this solution is presented to the management audience to convince them about the benefits of adopting it.

Consultants and management professors have been seen as the guarantors of this rational approach in problem solving, and have influenced managers to adopt their own solutions. Looking at the consultancy industry we can observe that it has been the proponent of many innovations and we can easily think of examples of some of these innovations that have solved real problems, while others have created additional problems while not really solving anything real (i.e. balanced scorecards for instance have been proposed as “the tool” to match strategy with decision making processes, through a myriad of measures of indicators, achieving a great complex system, more focused in these indicators than in the strategy itself, creating other consequences in the meanwhile (see, for example the dysfunctional consequences of some of these systems in Cugueró-Escofet and Rosanas 2013)).

The objective of this paper is to investigate the Activity Based Cost systems (ABC from now), and how these systems have evolved towards a useful tool or not in terms of helping companies managing costs. In doing so, we think it is important to understand the nature of potential costs problems and organize them depending on the tools that exist to assist managers dealing with them. We organize those in a framework that match possible cost problems with tentative solutions that could be of potential help to tackle them. We also question ABC costing system, as a universal cost accounting tool, and we arrive to the conclusion that solving a problem that implies investing a lot in companies’ new systems, need to be approached in a more rational way. Not approaching the solution in this rational way, would put managers in a situation that does not allow them to understand the real problem, and therefore implementing the “fashion” solution (which is usually quite expensive). At the end, this possibly means not achieving a proper management approach to the problem at hand. Or even worse, it may create new problems that were not there in the beginning: i.e. in case of the ABC costing system, when there could be a need of separating costs between fixed and variable, and not doing so, while being obsessed on the full costs calculations, that might not be the important issue to be addressed.

We are going to proceed first by overviewing briefly the diffusion of ABC systems and who have been their promoters. Second, we examine the nature of the main cost problems, and we show which have been the main approaches to solve them, including here ABC as one of the possibilities. We also show how the introduction of new solutions could be a ‘fashion’, a ‘fade’ or the result of a more rational choice. Finally, we are going to show how the abuse of the ABC toolkit can create more problems than the ones solved, and we extend this reasoning to future new solutions. We conclude about the role of management schools, and we encourage them to be critic enough when facing the pressures of incorporating new magic answers. And, following this, we show what must be under our view, the appropriate role of management professors as the ones that assist managers to improve their evaluative knowledge in deciding over the adequacy of these alternatives, so helping the managers they teach to improve their rational process of decision making.

Even Kaplan, the original proponent of ABC, considers that so often a forgotten aspect in the discussion is the role of evaluating solutions. Following this, Kaplan asks the following question: “How students would evaluate if a new management conceptual proposal, as is the Activity-based costing, or the balanced scorecard, is a good idea to create value into the organizations?” And after asking the question he assumes that he does not have a completely satisfactory answer for that (Kaplan 1998). We are therefore trying to show precisely this, that it is important to consider a critical approach to expensive new tools that are introduced in management practice.

2.        Diffusion of the ABC

Initially, we can assume that the inherent reasons for the explosion and diffusion of ABC are those that justify the existence of the ABC system, that is, that ABC increases the efficiency of the selected strategy. According to these criteria, the argument that would have convinced academicians, publishers and companies to introduce the content of the system is that the expectations of benefits would, in all cases, be higher than the implementation costs of ABC.

However, since the start of its expansion, the percentage of failures attributed to the implementation of the system has been significant. Numerous cases have been analyzed and published that reveal a situation in which, despite of the generally recognized soundness of the model, the levels of success associated with its implementation have not been in agreement with the model itself. The impact of this apparent paradox on the future viability of the ABC system leads us first to reconsider, at this point, the patterns of diffusion that can help us to determine the source of the failures.

In the initial stages, ABC could be seen as an appropriate tool, because it helped to promote in companies the process of pairing the strategy with the specific set of activities necessary to fulfil the strategy and measure the costs associated to it. Managers could consider this very appealing and it could perfectly make ABC system to look as “the” tool that would solve this problem of measuring what is adequate for the company by at the same time providing the relevant indicators to monitor performance. Academicians and consultants have given support from the beginning to ABC systems, some examples of which is the myriad of seminars offered in the most influencing business schools, lots of papers in specialized journals explaining ABC, some papers in more professional journals, and also case studies that guide the solution towards this type of cost systems. At the same time, some of these journals pointed out the ABC paradox: if academicians and professionals consider its benefits are high, then, why are there not more successful case stories of implementation available?  Is it a matter of company training? Is it a lack of strategy planning? Some of these questions were asked to reflect about ABC.

 But, the fact that something is a “fashion” does not entail being useful, as we will try to prove in the following lines (defining useful as the effectiveness in solving the problems that managers had when deciding to implement that specific solution). Fads in management exist and have been extensively documented (Abrahamson 1996, Brickley et al. 1997). The most important issue about them is that management fads have lots of implication for managers themselves, for the science of management and for the organization as a whole. We attempt to show here that ABC is a useful tool but not “the” tool that all companies need for solving all the problems presented in the cost accounting literature. For some problems ABC proposes no solution, and for others the solution is too expensive and, therefore, inefficient. We show that the diffusion of this technique has followed more a logic of fad evolution than the logic of “problem solving” that should dominate managers and management thought. But we go one step further in indicating that this tool does not introduce a revolutionary improvement in terms of the conceptualization of costs that already existed in managerial accounting, which is even worse. ABC is a way of using a full cost approach with a different conception of a cost center, and, thus, it may be useful only in cases where the decisions to take are approached better by using a full cost instead of other cost measures.

When a fad is diffused, it gains consolidation, which means importance, and this process occurs rather quickly. And from the beginning, it is very difficult to understand the reasons behind this explosion that justify its existence. Is it that a company thinks that ABC is the appropriate tool to match activities with strategy? If this were the reason for most of the companies, then, it would follow that efficiency is behind the explosion of ABC. Alternatively, is it that the company has followed the advice of an assumed expert that is saying to everyone that they should implement an ABC system? Or is it a case of a company considering implementing an ABC system because, as in a contagious process, other partners or rival companies are doing so? In this case, the logic that is behind of the decisions is more a logic of fashion. This is not that easy, because, in principle companies are being convinced with argumentation that the technique is appropriate for them or not; so, in general, the fad logic in management is not equivalent to the spread we can see in the domain of aesthetic fashion. In management, there is some need of criteria that imply some argumentation to really serve as a convincing device for the community of managers, so it seems necessary to find some process of rationalization that illustrates that the benefits it brings are greater than the costs of implementation.

Moreover, a decision like implementing or not an ABC system is also considered an important one, as it has long term effects, so we need to decide today on a matter without fully possibly evaluating its adequacy and future performance. And, moreover, in terms of personal expectation, we cannot arrive to the conclusion today that we are going to be completely satisfied with the potential future performance that would entail implementing that solution.

In fact, since the ABC has started to be implemented, the percentage of failures has been significant. Typically, this has been attributed to its implementation (Anderson and Young 1999, Malmi 1999, Mc Gowan and Klammer 1997). In general, cases documented attributed this failure mainly to the implementation part, and they leave apart considerations of whether the model is sound from the start or it has to be challenged. This is also remarkable as in management the model and the implementation need to be paired at some point, as in general implementation costs money, and some companies decide plainly not to implement a solution (even if they found it is sound) just because it is costly and make no sense in terms of a simple cost benefit analysis.

Abrahamson (1991) discusses in a seminal paper the variables that are crucial in the diffusion and rejection of innovations in management systems. Following Abrahamson’s paper, Malmi (1999) wrote another paper analyzing the elements that influenced the expansion of the ABC systems by looking at the process of diffusion. In that analysis, it seemed that the reasons behind choosing an ABC would be efficiency, fashion and fad. We are going to explain them further later on.

Abrahamson (1991) considers that in general the position that a model holds in processes of diffusing innovation is generally due to the selection of the most effective option, but in organizations, the context is clearly different. For the process of Abrahamson to be possible, two conditions have to be met; that “organizations choose freely and independently” and that “organizations are clear about their objectives and about which management systems would lead to these objectives”. Unfortunately, these two conditions are seldom met in real-world management. Under bounded rationality (Simon 1991), pressures are of a different kind, and managers face these pressures in their decision making processes. There are also several studies that have analyzed other forces that affect managers and therefore, the diffusion processes (Abrahamson 1991, Ax and Bjørnenak 2005, Granlund 2001, Malmi 1999). In addition to them there are also pressures coming from economic and social agents who also impact the dissemination of management systems (Lapsley and Wright 2004, Soin et al. 2002).

The fact that many agents can potentially influence the decisions combined with the fact that organizations may not have clear objectives, makes the level of uncertainty of the decisions increase. Then it seems plausible that the criteria adopted to select the ABC can be for reasons other than purely an efficient choice. This is problematic, and managers need to be aware of it, otherwise they would enter in deciding things just for the pressure of some problem that is overwhelming, or because competitors or other important agents do that, and they must feel as lagging than leading management progress in their own business (Abrahamson 1996). It is important then to look into the cost problems and which are the available potential solutions to solve them, and further into the adoption of new solutions following other logics than that of the rational choice (that can be considered as fads in the end).

We are going to revise cost problems and possible approaches to solve them next, by at the same time, trying to understand the propositions ABC is making and how can realistically help managers in solving some of the cost problems presented.

3.        Cost problems and potential approaches to solve them

A way to evaluate which is the level of contribution of ABC in relation to other cost management tools, is to explore the measures that are taken to determine if an implementation has been successful or not. According to previous literature, a summary of measures for the ABC success is presented in Table 1, in which we show the measures, empirical evidence of a possible causality mechanism, and the empirical papers that contain evidences.

 

Measure

Causation

Authors

Type of use of ABC information for decision-making

The more general is the use of the ABC the more successful is the ABC implementation

Innes & Mitchel (1995, 2000)

Swenson (1995)

Foster & Swenson (1997)

Krumwiede (1998)

Anderson and Young (1999)

Relevance of the actions taken with the ABC information

The more relevant are the actions taken the more successful is the ABC implementation

Innes & Mitchel (1995, 2000)

Foster & Swenson (1997)

Malmi (1997)

Anderson and Young (1999)

Economic and financial improvements after the ABC implementation

The better are the company benefits in terms of income increases or cost reductions, the more successful is the ABC implementation

Shields (1995)

Foster & Swenson (1997)

Krumwiede (1998)

Kennedy &Affleck-Graves (2001)

Ittner, Lanen & Larcker (2002)

Performance perception after the ABC implementation

The better the performance perception, the more successful is the ABC implementation

Shields (1995)

Swenson (1995)

Foster & Swenson (1997)

Krumwiede (1998)

Mc Gowan & Klammer (1997)

Ittner, Lanen & Larcker (2002)

Adapted from Fitó, A. (2006, p.108)

Table 1 Measures for ABC success

 

As we can appreciate, the role that cost accounting has, and therefore the specific role of the ABC systems, goes beyond managerial cost accounting and it includes influencing and facilitating the decision making processes in an organization. In this sense, most of the articles analyzed establish a link between the ABC system and the possible value generation. In general, the causality is driven by the best cost information and the best cost calculation, all of this into a strategic context. After analyzing the case studies presented in these articles, we reach the conclusion that the benefits that the literature has attributed to the new costing process (e.g. best information, cost reduction, etc) could perfectly be a consequence of the process of thinking about the cost problem itself. Thus, it could happen that an improvement in calculation and information may not be the consequence of only the ABC implementation but also, a consequence of the decision process itself, conducive to an improvement in terms of rigor, the cost accounting process, in which ABC is embedded as a possible model, but not the only one.

The objective of ABC was initially to pair product costs with strategy, which is a great goal, but the solution they offer is to change in general de allocation of overhead based on labor cost for other drivers that could be better linked to the activity of the company. But this can be applied and is strategically sound for every company?  Considering the multiple cost accounting systems that coexist today, the answer seems to be no. Brickley, Smith and Zimmerman provide an interesting example: “take the case of Hitachi […], even though this plant is highly automated, and managers know that direct labor does not reflect the cause-and-effect relation between overhead and the overhead cost drivers, Hitachi continues to allocate overhead based on direct labor to reinforce the management commitment to further automation” (Brickley et al. 1997,  p.36). So, generally speaking, the idea of not allocating indirect costs mechanically using direct labor as the criterion is an interesting contribution following Kaplan, mainly if we apply long term criteria. But this is not new, and furthermore, this does not mean having to do automatically the opposite, namely never using the direct labor, or only using the drivers that link to activity. In the Hitachi case, activity and strategy do not point at the same direction, and while following activity direct labor should not be applied but, following strategy it should.

The basic tenets of ABC are (1) to generate as many costs pools as possible, and (2) not to use direct labor as the allocation basis as it seems that in most cases it is not the cost driver for an increasing amount of overhead costs. However, as we have seen, this is problematic because of two reasons. First, implementing cost centers is expensive, and sometimes it complicates too much the system without a clear benefit of doing so; i.e. there are alternatives less costly and that measure costs with less precision, but enough for the company and the decision at hand. Second, at a more conceptual level, the question is whether multiplying cost centers permits to talk about another cost paradigm, or it is just a more sophisticated full cost system, without eliminating its weaknesses. So the question is: do the ABC system exceed these weaknesses? Does its basis solve problems as joint production, rational imputation in case of working under capacity, distinction between fixed or variable cost, etc.?

When ABC is presented in cost accounting books, most of the examples are referred to product costing and cross subsidization (see for instance, Horngren et al. 2015). The ABC contribution consists in splitting cost centers into a multiple activity cost centers, and therefore introducing multiple and different cost drivers according to how costs behave, according to which drivers. But is this a new cost paradigm, or is it just a ‘better’ full costing solution? In the last edition (15th) of Horngreen et al. cost accounting textbook (2015), the chapter dedicated to ABC introduces three main guidelines for redefining a costing system: tracing direct costs, pooling indirect costs, and establishing the bases for cost-allocation. Through an example, he compares conventional costing with the ABC system, with an implicit idea that the rest of full costing systems can be seen as the case of the simplest one. An important conclusion is that the benefits of ABC systems are justified based on a better or more accurate allocation process, and the authors point out that managers must weigh the benefit of ABC against the implementation costs.

Measuring full costs is useful mainly for two purposes: 1) To help in the pricing decision, and 2) To measure ex-post performance, so to look into the portfolio to decide over products depending on the ex-post performance. For the first purpose, it is important to have a full cost, but the specific procedures to calculate it can differ, because in some industries the prices are also settled based on reasons other than the; costs are the minimum possible price in the long run, and are only an indication that the firm is not efficient enough whenever the price is lower than the full cost.

But looking carefully at the second purpose, one can ask the inevitable question: if there is a product such that show a loss with respect to full cost looking into ex-post performance, what should be done? Should it be dropped? Not in the short run and working below capacity, because the contribution margin is automatically lost. So, why is full cost needed? The answer is simply that the full cost is important as a diagnose device, because it shoes that if all the products were like the one that shows a loss, the firm would be actually losing money. But it is not that evident what to do with that specific product. It seems reasonable to look more closely to the costs involved to that product, to discover whether it is an efficiency problem. However, if after doing this, it continues to show losses, then it is better to find a substitute, and in the meanwhile, keep the product, as it contributes (even if less than desired) to face the overhead costs with its contribution margin.

A different problem is that ABC systems are not helpful at all in the presence of joint costs. This consists in situations where the production process generates joint products and/or by-products. In these processes, possibly, there is a product that can be considered as “the” main product, but you inevitably obtain some others that cannot be avoided or suppressed. These processes present the problem of how to allocate the “joint” costs incurred when producing a batch of all of them: any allocation of those joint costs (therefore excluding the specific costs of each product) is completely arbitrary. For instance, in the semi-conductor industry you cannot avoid generating semi-conductors of different characteristics in the same production batch. Then, if the joint costs are allocated, say, on a per unit basis, then the low quality ones are very likely to generate losses based on their full cost, that are absolutely meaningless. There are in practice many situations where this happens, and ABC systems do not help at all in such situations.

The last evolution of the ABC system, “Time-driven activity based costing”, is a Kaplan reaction to the general failures in many implementation processes. In his presentation he admits that “The traditional ABC model has been difficult for many organizations to implement because of the high costs incurred to interview and survey people for the initial ABC model, the use of subjective and costly-to-validate time allocations, and the difficulty of maintaining and updating the model” (Kaplan and Anderson 2004). As a solution, he proposes a new version: Time-driven ABC that requires estimates of only two parameters: (1) the unit cost of supplying capacity and (2) the time required to perform a transaction or an activity. To demonstrate again its benefits, the paper introduces, as in previous versions of ABC systems, simple numerical examples to articulate the fundamentals of time driven ABC. These examples are, of course, from companies that have successfully implemented the approach and have had significant income improvements. In the examples, he demonstrates that previous bases of ABC were too broad, and not accurate considering that if duration drivers – which estimate the time required to perform the task- are used all the cost measurement problem is solved. At the end, it seems that the arguments to promote the adoption of ABC systems are the same that its author uses to decline its use advocating now for a simpler version where after all we have changed labour hour as a cost driver by activity hour. 

However, understanding the cost problems does not preclude managers to enter into fashionable solutions. For that reason, we are going to examine the fashion process next to help managers to understand it and to make them possibly avoid some of the consequences it could create. A conscious manager is the one that first has the knowledge, and then acts according to it. We think that having the knowledge of this process is a first step that would be of great help for ABC potential adopters, and for other possible solutions that may appear in the future.

4.        Fad, fashion and rational approach

A fad has been defined in several ways. According to Rosanas a fad is a solution that is created following a rational logic that presumes to solve definitely some problems in management, and that creates a short term enthusiasm that, pretty sure will be substituted by another fad more early than late (Rosanas 1999). In some moments “some of these methods may be the solution of all the pains, the beginning of a new age and a focus that will surely open unexpected doors towards companies’ prosperity” (Rosanas 1999,  p.19). This phenomenon has also been illustrated by Brickley, Smith and Zimmerman, in a paper in which they investigate the intellectual diffusion of some of these techniques that could eventually become fads, by analyzing the number of articles that contain that specific label or technique (Brickley et al. 1997). They reported also ABC even if the graph they have drawn, at the time of the article, was showing only the beginning of a decline after the maximum peak, reported for year 1995 (Brickley et al. 1997,  p.25).

Fads can also be detected because they are usually presented as a real revolution, instead of simply showing them as proposals that partially build on some existing knowledge and, at the same time, argue to throw partially or totally other contributions that have not really contributed from the proponents’ point of view (Hilmer and Donaldson 1996). In general “the ideas behind such calls for radical change are often labeled “modern management” or a “new paradigm” and are generally considered a vast improvement over traditional notions” (Hilmer and Donaldson 1996,  p.27).

In the area of management control, Malmi, studies four perspectives that could explain the diffusion reason for the ABC systems (Malmi 1999). These are classified in Table 1, adapting the original source of Malmi. There are two logics in the adoption of some system: imitating someone or receiving and outsider influence.  In the first case, when it can be potentially imitation, organizations may decide purely by imitation or for other reasons. In the case of outsider influences, these can affect organizations that may be better implementing an ABC (because it can solve some problems they have), or they are influenced by outsiders to adopting ABC. Combining the four options, there are four possible mechanisms: fad, fashion, efficient choice or forced choice.

 

 

Perspective of imitation processes

Imitation processes do not impel diffusion

Imitation processes impel diffusion

Perspective of outside influence

Organizations susceptible to adopt the ABC system

Efficient-choice

Fad

Other organizations that propagate the system

Forced-selection

Fashion

Table 2 Mechanisms of diffusion of the ABC System

 

Following Malmi, efficient choice is defined as occurring in response to changes in business conditions. This meaning that the company would choose a system that is most likely to help them to reduce uncertainty, meet the objectives, amongst others. It is a choice based on some objective criteria of efficiency that the company has, and the influence of others is reduced (of course not to zero, as sometimes looking at other is a part of a rational choice) (Malmi 1999). A forced selection is somehow rational, but perhaps not efficient, as it seems that there is someone (with particular and not transparent reasons), that has the power to force the decision, even if it is not clear that the best option is to adopt a ABC system. This can be due to the type of the organizations that are forced by the laws to adopt a model that is not the result of an internal rational choice, so considering alternatives to balance (Malmi 1999).

The distinction between fashion and fad is that a fashion is weaker than a fad. In a fashion, there is a lot of external influence and plus an imitation process. It happens that in some industries some organizations simply imitate the systems that the leading companies implement, without questioning its adequacy for them in terms of efficiency. A fad is a result of implementation when the organization imitates the models adopted by other companies within the industry that have adopted the system to manage costs, and the organization is also susceptible of adopting the system for the same reason (Malmi 1999).

The process of choosing ABC can differ depending on the moment the company decides to implement it. The ones that adopt the system in early stages in general follow expert recommendations, and it is plausible to think of adopting it as a result of efficient choice. But later on, as the system is already implement, when some company faces the same decision, there are additional reasons to adopt the system that differ from purely efficiency, and processes of imitation play a substantial role.

Then, there is a process of legitimacy, and as ABC system starts to become consolidated and other agents, like universities, start to intervene that can serve as reference points to help to deciding to implement it. This serves as a reason to understand a possibly quick diffusion in the end of the eighties. When Malmi studied the reasons behind to decide over implementing ABC looked into a wide range of Finnish companies from different sectors, and organized the reasons into the four types we have explained: efficiency, forced selection, fashion and fad, counting the frequency of each (Malmi 1999,  see Table 2 on page 658). We find this Table interesting, but it seems a little bit confusing as the reasons classified under the label of “efficient choice” can be perfectly be considered otherwise, for at least two reasons. First, there are reasons that are not really efficient: for instance, that competitors use ABC: Then, so what? Should we decide adopting the system just because others do it? Second, it can perfectly happen that there is a reason to do something because as Malmi has suggested, “the organization process requires another accounting system”. But it could be that ABC is not solving the real problem that makes the company think they need to change. We have tried here to organize before “efficiency reasons” in terms of “solving cost problems”, because this is closer to the problem, and could therefore assist better managers to see whether the solution is a fad or a real problem solving one.

We think it is important to understand first, the problems that a company faces in terms of costs linked to the strategy and the activity, but also the diffusion of fads in the past to caution managers of these fads to help them to decide under rational criteria (bounded rationality of course) which means matching reasons and solutions and decide over the appropriateness of them. We turn next to examine this.

5.        How to decide if the new solution is appropriate or not

The problem with fads is that ideas that present are attractive, and managers that are in some real trouble, in some cases pretty desperate after seeing the problem persist over time, starve for the new solution to be applied in their companies. So, there is an issue of language that impacts and makes these ideas more appealing and ready to be bought, but other more substantial issues of necessity of solving real complex problems. If managers ask a simple question to themselves, like the following one: “can one idea, or even five ideas explain the past success of firms as diverse as General Electric and McDonald’s?” (Hilmer and Donaldson 1996,  p.31), they can easily arrive to the conclusion, as the authors suggest, that success is a result of all possible improvements these companies have made in many aspects of their business, “that together have led to its unusual success” (Hilmer and Donaldson 1996,  p.31). But there is a paradox here because, we would like to avoid fads, but management science, the way it is organized is a fertile field to make fads increase. And this is due to many reasons, but the following two are pretty important; first, because “problems in management are intractable, yet the pressure (for managers) to be seen to be “doing something” is intense”(Hilmer and Donaldson 1996,  p.32), and, second, this must also be incremented with a sensation of frustration because in many cases after several trials problems persist. But there is another social pressure here, as “a manager using the latest technique supported by an eminent expert […] can hardly be criticized, while one who ignores the latest trend risks being judged old-fashioned and unprofessional” (Hilmer and Donaldson 1996,  p.32). Both aspects, as we have mentioned, makes the audience of managers ready for “gurus” and the like.

There are some ways to avoid this, in terms of ABC that is using actively the problem-solving approach, so first, understanding the problem at hand, remaining professional and making your managerial team participate. Then look actively for solutions, and then, decide over the solution that may be changing the system as a whole or simply adapting the one we have. As Hilmer and Donaldson mention, they summarize this as “staying on the professional track”. Based on their definitions we can summarize being professional as: 1) Strive for motives that go beyond the pure instrumental, 2) understand the need to master the different types of knowledge that is involved in a craft profession like management, 3) use sound reasoning, and therefore use practical wisdom, 4) use language in precise terms, and avoid general and non-meaningful words and 5) incorporate ethics in your decision processes (Hilmer and Donaldson 1996). We have adapted the five aspects, because for us, ethics (that is their five aspect) is involved in all the rest, meaning that the manager should: 1) Possess full knowledge, 2) Needs to use it according to the decision at hand, 3) Have adequate motives that feed the will and strength to use the knowledge for the specific situation, and decides accordingly, with in the end translating to an action, 4) Learns about experience and updates all knowledge involved, and 5) Tries to have ends that are significant for all participants, included him or her. With this in mind, we can face potential fads with more options of not accepting false trails.

6.        Conclusion and managerial implications

One of the main problems of management is that there is not yet a corpus of theories and knowledge that can assist professionals to take adequate choices for solving the problems they actually have. Business schools, some management professors and consultants have tried to sell “the solution”, and when managers have a problem, hearing that someone is offering “the solution” is appealing and may turn the personal biases of managers towards thinking that statement that says “the solution exists” is true. But complex problems cannot have simple and single solutions. Management science needs to evolve in a way to help promoting rational choice amongst managers, with great doses of realism. It is necessary to understand that choosing some solutions today, and ABC system is just one of them, would surely imply that this solution may be in need of update tomorrow; and it is precisely this what makes managers to have a job, otherwise, in case of having “the solution”, the next step would be firing the manager and putting instead the solution along with a very powerful machine to make it work without her.

We must fight for a “professional management, an approach that builds systematically and continuously on past achievements in the best traditions” (Hilmer and Donaldson 1996), so to critically approach each solution and think twice before implementing it, and also making your people participate in any important decision process to decide over which solution to take as a response of a problem that the company faces. And making people participate is also important when a final choice is made. It is impossible to implement a solution (even if it is appropriate) without the real involvement of all people affected in the organization.

But the reason to make people participate it is not just because they would be more willing to cope with the problems that could appear (and will surely appear), once the solution starts to be implemented. This is not a good reason to avoid the solution to become a fad. Because if people looks at managers and realize that the boss likes the fad, even if they do not agree with the boss, they would eventually choose for, even in cases people are really convinced that it is a fad. In fact, we can find companies in which a fad is adopted and where top managers claim that the system has finally worked; and they say so, because they do not see problems of fad adoption, as people in that organizations helped to overcome many of the consequences of adopting a fad, once each consequence appears. This can easily happen, because in an organization with great leadership, the adequate motivation of participants, and great identification between people and organizational objectives, it is highly probable that any technique would eventually evolve towards functioning correctly, because this people would take charge of the problems and help to overcome the defects of the system (Rosanas 1999). Then, this would happen with fads and good solutions. Then, it is important to make people participate, because they can critically help top managers to avoid fads, acting as a first filter, then you are boosting the organization fully into efficiency in problem solving rather than following the short term fashions that would surely appear. To help top managers avoiding stressing the organization with an inadequate purpose simply because it follows environmental pressures, and forgets to listen the team.

References

Abrahamson, E. (1991). ‘Managerial Fads and Fashion: the Diffusion and Rejection of Innovations.’ Academy of Management Review, 16(1), 254-85.

Abrahamson, E. (1996). ‘Management Fashion.’ Academy of Management Review, 21(1), 254-85.

Anderson, S. & Young, M. (1999). ‘The Impact of Contextual and Process Factors on the Evaluation of Activity-Based Costing Systems.’ Accounting, Organizations and Society, 24, 525-559.

Ax, C. & Bjørnenak, T. (2005). ‘Bundling and diffusion of management accounting innovations-the case of the balanced scorecard in Sweden.’ Management Accounting Research, 16(1), 1-20.

Brickley, J. A., Smith, C. W. & Zimmerman, J. L. (1997). ‘Management Fads and Organizational Architecture.’ Journal of APplied Corporate Finance, 10(2), 24-39.

Cugueró-Escofet, N. & Rosanas, J. M. (2013). ‘The just design and use of Management Control Systems as requirements for Goal Congruence.’ Management Accounting Research, 24(1), 23-40.

Fitó, M. A. (2006). ‘La determinación del éxito del modelo de costes ABC. Una valoración crítica de las diferentes medidas empleadas para su evaluación.’ Revista Iberoamericana de Contabilidad de Gestión, 4(8), 105-27.

Foster, G. & Sweenson, D. (1997). ‘Measuring the Success the Activity-Based Cost Management and Its Determinants”.’ Journal of Management Accounting Research, 9, 1997.

Granlund, M. (2001). ‘Towards explaining stability in and around management accounting systems.’ Management Accounting Research, 12(2), 141-66.

Granlund, M. & Lukka, K. (1998). ‘It is a Small World of Management Account Practices.’ Journal of Management Accounting Research, 10, 153-73.

Hilmer, F. G. & Donaldson, L. (1996). ‘The trivialization of management.’ The McKinsey Quarterly, 4, 26-37.

Horngren, C. T., Datar, S. & Rajan, M. (2015). Cost Accounting: a managerial emphasis. Pearson Education Limited.

Innes, J. & Mitchell, F. (1995). ‘A Survey of Activity-Based Costing in the U.K.’s Largest Companies.’ Management Accounting Research, 6, 137-53.

Innes, J., Mitchell, F. & Sinclair, D. (2000). ‘Activity-Based Costing in the U.K.’s Largest Companies: A Comparison of 1994 and 1999 Survey Results.’ Management Accounting Research, 11, 349-62.

Ittner, C. D., Lanen, W. N. & Larcker, D. F. (2002). ‘The Association Between Activity Based Costing and Manufacturing Performance.’ Journal of Accounting Research, 40(3), 711-26.

Ittner, C. D. & Larcker, D. F. (2001). ‘Assessing empirical research in managerial accounting: a value-based management perspective.’ Journal of Accounting & Economics, 32(1-3), 349-410.

Kaplan, R. (1998). ‘Innovation Action Research: Creating New Management Theory and Practice.’ Journal of Management Accounting Research, 10, 89-118.

Kaplan, R. & Anderson, S. (2004). ‘Time-Driven Activity-Based Costing.’ Harvard Business Review, 82(11), 131-38.

Kennedy, T. & Affleck-Graves, J. (2001). ‘The Impact of Activity-Based Costing Techniques on Firm Performance.’ Journal of Management Accounting Research, 13, 19-45.

Krumwiede, K. R. (1998). ‘The implementation stages of activity-based costing and the impact of contextual and organizational factors.’ Journal of Management Accounting Research, 10, 239-77.

 

Lapsley, . & Wright, E. (2004). ‘The diffusion of management accounting innovations in the public sector: a research agenda.’ Management Accounting Research, 15(3), 355-74.

 

Luft, J. L. & Shields, M. (2002). ‘Zimmerman’s Contentious Conjectures: Describing the Present and Prescribing the Future of Empirical Management Accounting Research.’ The European Accounting Review, 11, 795-303.

 

Malmi, T. (1997). ‘ Towards explaining activity-based costing failure: accounting and control in a decentralized organization.’ Management Accounting Research, 8(4), 459-80.

 

Malmi, T. (1999). ‘Activity-based costing difussion across organizations: an exploratory empirical analysis of Finnish Firms.’ Accounting, Organizations & Society, 24, 649-72.

 

Mc Gowan, A. & Klammer, T. (1997). ‘Satisfaction with Activity-Based Cost Management Implementation.’ Journal of Management Accounting Research, 9, 217-37.

 

Porter, M. (1979). ‘How Competitive Forces Shape Strategy.’ Harvard Business Review, march, 1-20.

 

Rosanas, J. M. (1999). ‘Instrumentos de gestión, organizaciones humanes y eficacia: el caso del cuadro de mando.’ Boletín AECA nº 49.

 

Shields, M. (1995). ‘An Empirical Analysis of Firms’ Implementation Experiences with Activity-Based Costing.’ Journal of Management Accounting Research, 7, 148-66.

 

Shields, M. (1998). ‘Management Accounting Practices in Europe: A Perspective from States.’ Journal of Management Accounting Research, 9, 501-13.

 

Simon, H. A. (1991). ‘Bounded rationality and organizational learning.’ Organization Science, 2, 125-34.

 

Soin, K., Seal, W. & Cullen, J. (2002). ‘ABC and organizational change: an institutional perspective.’ Management Accounting Research, 13(2), 249-71.

 

Swenson, D. (1995). ‘The Benefits of Activity-Based Cost Management to the Manufacturing Industry.’ Journal of Management Accounting Research, 7, 167-80.

 

Zimmerman, J. L. (2001). ‘Conjectures regarding empirical managerial accounting research.’ Journal of Accounting & Economics, 32(1-3), 411-27.

[FULL] Article 7, Volume 1 Issue 1

What elements of financial stress affect contracting out and intermunicipal cooperation in the provision of local public services? The impact of the great recession

Author

José Luis Zafra Gómez – (University of Granada)

Juan Sánchez Fernández – (University of Granada)

Ana María Plata Díaz – (University of Granada)

Gemma Pérez López – (University of Granada)

Abstract

The current financial crisis is one of the main factors underlying proposals made for change delivery form of municipal services. However, this situation is affected by a wide variety of financial indicators, and it is necessary to determine which of these indicators have greatest influence on decisions regarding outsourcing or long-term inter-municipal cooperation. Furthermore, the Great Recession could have modified these financial indicators, and so we must identify which of them impacted on public-service outsourcing and/or cooperation both before and during the crisis. This paper evaluates these factors with respect to a sample of Spanish municipalities, for the periods 2002-2007 and 2008-2010, via a discriminant analysis. The results obtained show that the financial indicators that affect outsourcing and cooperation are different, specifically, we find that the variables which are related to spending on transfers, budget sustainability and the flexibility of the entity, measured by its outstanding debt have the greatest impact on the outsourcing process, while the cooperation processes are influenced, in addition to the latter factors, by the short-term solvency of the entity. The elements of short term solvency, flexibility and sustainability led municipalities to outsource their public services in the pre-crisis period, while only debt and financial independence influenced the cooperation decisions during the crisis period.

Keywords

1.      Introduction

Fiscal stress is one of the explanatory factors most commonly referred to in studies of outsourcing and inter-municipal cooperation (Bel and Fageda, 2007). The reasoning used to relate the two concepts is based on the idea that municipalities in this situation are faced with falling revenues (transfers and/or taxes) and, not wishing to increase the local tax burden (Tiebout, 1956; Bel and Fageda, 2007), may choose to privatise public services that present a high degree of complexity and represent a significant cost to the local authority (Savas, 2000; Greene, 2002). Moreover, this situation has been aggravated by the current economic and financial crisis (Zafra-Gómez et al., 2009a, 2009b; Zullo, 2009). The effects of this crisis on public administration are reflected in a stricter control of budgets and deficits (López-Hernández et al., 2012) and this situation has prompted a search for solutions to fiscal stress, based primarily on recentralising the decision-making process and even on the use of new models of governance (Peters, 2011).

Among the options open to municipalities for alleviating situations of fiscal stress, one of the most common is to search for new forms of service delivery, such as privatisation (Moore, 1987; Hood, 1995). However, in recent years various alternatives to outsourcing – for example, inter-municipal cooperation – have arisen as a means of restructuring the delivery of public services (Mohr et al., 2010).

Nevertheless, empirical evidence is unclear as to whether situations of fiscal stress leading to outsourcing or inter-municipal cooperation are responsible for provoking changes in management attitudes (Levin and Tadelis, 2005; Bel and Fageda, 2007; Zullo, 2009). This may be due to the fact that most studies in this respect have been of a cross-sectional nature, aiming to evaluate the performance of municipalities over an extended period of time (Bel et al., 2010). Moreover, as observed by Boyne (1998), the measures used to assess whether the municipality is undergoing fiscal stress are very poor and may not reflect the true situation (Brudney et al., 2005).

The use of long periods of analysis means that the circumstances characterising these periods must be taken into account. We are currently experiencing a period of global financial crisis, known as the Great Recession (GR), which is having a major impact on economic activity in both the private and the public sectors. Accordingly, the fiscal stress/outsourcing (or inter-municipal cooperation) relationship may have changed during this period. Authors such as James and Wooten (2006) and Maitlis and Sonenshein (2010) have reported that when an international crisis occurs, the structure and development of any organisation may be affected and undergo considerable change, and therefore action should be taken to overcome the problems faced (Christensen et al., 2011).

In view of this situation, it is necessary to identify the indicators that reflect the municipal financial situation, especially those with most impact on changes made in the provision of public services, and to determine whether these indicators are exerting the same influence during the GR.

Accordingly, the aim of this study is to establish whether the decisions taken by local public managers regarding outsourcing or inter-municipal cooperation are related to the presence of financial problems, specifically, when the municipality is undergoing a state of fiscal stress. This concept is distinguished from that of global financial crisis, known as the Great Recession (GR), which refers to the present global economic and financial crisis. The results obtained will clarify whether the financial variables were affected by the GR, thus impacting on how local public services are delivered, in terms of decisions to outsource or to enter into inter-municipal cooperation for this purpose. Furthermore, we consider a broad concept of fiscal stress, defining it in the framework of financial condition. In other words, we are not considering just the level of transfers or an indicator of local authority borrowing (Bel and Fageda, 2007), but also take into consideration variables related to transfers received, the fiscal capacity of the municipality, its cash position, level of debt and budget sustainability.

The rest of this paper is structured as follows. In the next section, the concept of financial condition is discussed, as a valuable element for measuring whether a municipality is undergoing financial stress. We then examine, from a theoretical standpoint, the relationship between fiscal stress and outsourcing or inter-municipal cooperation. Section four introduces the concept of crisis management to address the implications of the impact of the GR on the relationship being studied. In section five, we explain the methodology used, the data analysed and the results obtained, for a sample of Spanish municipalities for the period 2002-2010. In the final section, we discuss these results and draw appropriate conclusions.

2.      Using financial condition to measure fiscal stress in local government

The primary objective of financial information in the context of local government is to represent its economic and financial position, thus facilitating decision-taking by individuals, rating agencies, managers and the community in general, providing an instrument for effective action to be taken when financial circumstances are adverse, and a measure for determining rewards when circumstances are favourable. One of the main lines of research currently being addressed in the area of local government finance is the construction and development of indicators to measure how local authorities are managing their resources and their finances.

Studies related to the financial position of an entity have referred to the concept of financial position, i.e., the entity’s ability to meet its obligations from the resources at its disposal (Lorig, 1941; Berne, 1992; Zafra-Gómez et al., 2009c). Measurement of this concept provides information about the entity’s solvency or liquidity, that is, its ability to meet its obligations in the long term and the short term, respectively. Accordingly, the present financial analysis aims to determine the financial risks associated with local authorities’ economic activities, by analysing their solvency.

Unlike financial position, the concept of financial condition addresses not only this facet of economic-financial information, but also others that influence the development of service delivery in municipalities, and which, even if they are not reflected in the analysis of financial position, have a tangible impact on the financial health of the local authority. However, the terms financial position and financial condition have sometimes been used in a confusing way, despite the Governmental Accounting Standards Board having clarified the broader nature of the concept of financial condition (paragraph 34 of Concept Statement 1), and different terms have been used to refer to the concept of financial condition, including fiscal crisis, fiscal stress, fiscal distress, fiscal emergency or financial condition (Honadle, 2003). Thus, the US State of Rhode Island uses the term “crisis”, while Ohio speaks of “fiscal emergency’”, and Michigan and Pennsylvania, “fiscal distress”.

In this context, the analysis of financial condition has been widely discussed (Hendrick, 1989; Greenberg and Hillier, 1995; Groves et al., 2003; Hendrick, 2004; Kloha et al., 2005a, 2005b; Wang et al., 2007; Zafra-Gómez et al., 2009a, 2009b, 2009c; Cohen et al., 2012) and the determinants of financial condition or fiscal distress have been studied from various perspectives, with different systems being proposed for measuring and evaluating the financial health of local authorities.

Among the different possibilities offered to measure this concept, for the purposes of the present study, we start with two that seem most appropriate. On the one hand, the proposal made by Groves et al. (2003), who pointed out that financial condition can be measured in terms of four inter-related factors: cash solvency, budgetary solvency, long-term solvency and service-level solvency. These authors defined cash solvency as the entity’s ability to generate sufficient liquidity to meet its short-term obligations; budgetary solvency is its ability to obtain sufficient budget revenues, without provoking a budget deficit; long-term solvency concerns the government’s ability to meet all its long-term liabilities; and service-level solvency is its ability to provide the level and quality of services necessary for the welfare of the community in question.

The second contribution considered was that of Greenberg and Hillier (1995) and CICA (1997), for whom financial condition can be measured through various indicators related to sustainability, flexibility and vulnerability. Sustainability is viewed as the ability of the entity to maintain, foster and preserve the social welfare of its citizens using the resources at its disposal. Flexibility is the entity’s capacity to respond to changing economic and financial circumstances within the limits of its fiscal capacity; and vulnerability is its level of dependence on external funding to enable public spending levels to be maintained.

In the present study, the concept of financial condition is used to determine whether a municipality is in a position of financial stress, and the financial condition is assumed to include the following aspects: cash solvency, defined as the organisation’s ability to generate sufficient liquidity to pay its short-term debts (Groves et al., 2003); flexibility, the organisation’s capability to respond to changes in the economy or in its financial circumstances, via modifications to public debt (Greenberg and Hillier, 1995; CICA, 1997); budgetary sustainability (or service-level solvency), the organisation’s ability to maintain, promote and protect the social welfare of the population, employing the resources at its disposal (Greenberg and Hillier, 1995; CICA, 1997; Groves et al., 2003; Hendrick, 2011); financial independence, the level of dependence on external funding received via transfers and grants (Berne, 1992; ICMA, 2003; Honadle, 2003; Zafra-Gómez et al., 2009a). Finally, we consider long-run solvency, using a broad time horizon for this study. All of these measures are set out in Table 1 and are evaluated using the set of indicators derived from budgetary and balance sheet information.

Elements of the Financial Condition

Indicators

Definition

Short-run solvency

Cash Surplus Index (CSI)

Difference between net short-term receivables, liquidity and net short-term liabilities

Liquidity Index (LI)

Liquidity divided by net short-term liabilities

Budgetary solvency

Flexibility

Net Savings Index (NSI)

Difference between the receivables from current budget resources and the budget obligations from non-financial current expenditures, reduced by annual amortisation payment –including interest and principal

Taxable value divided by Financial Charge Index (TVFCI)

Taxable budgetary receivables divided by annual amortisation payment – interest and principal –

 

Weight of Budgetary Receivables (TVCR)

Taxable budgetary receivables divided by annual current budgetary receivables

 

Sustainability of Budgetary Receivables (CETV)

Current budgetary payables divided by taxable budgetary receivables

 

Debt

Outstanding debt of the local authority and its autonomous organisations, consortia and associations

Independence

Index of Financial Independence (ITRANSF)

Grants budgetary payables divided by total budgetary payables.

Weight Payables/Transfers

(TE/G)

Total budgetary payables divided by grants

Sustainability

Non-Financial Budgetary Result Index (NFBRI)

Current budgetary payables, non-financial capital budgetary payables divided by non-financial current budgetary receivables, non-financial capital budgetary receivables.

Table 1. Elements of the financial condition

3.      Cooperate or outsource in response to fiscal stress?

Outsourcing can be defined as a form of privatisation in which a private company obtains residual gains from service delivery (Vickers and Yarrow, 1988; Warner and Bel, 2008) and in this field it is the most important of the alternatives available (Pallesen, 2004). One of the economic factors promoting outsourcing is the impact of fiscal stress (tax burden, legal limitations on local tax levels and the size of transfers from central to local government) on local government. Bel and Fageda (2007) observed that one of the hypotheses most commonly analysed and empirically tested is that of the relationship between fiscal stress and outsourcing (Ferris, 1986; Miranda, 1994; Kodrzycki, 1998; Brown et al., 2008; Hebdon and Jalette, 2008) and various studies have concluded that local officials respond to fiscal problems by this means (Touche-Ross Company, 1987; Mouritzen and Nielsen, 1988; ICMA, 1989; Morgan and Hirlinger, 1991).

Outsourcing is most commonly resorted to by larger municipalities, because smaller ones will often not have access to providers of the services required (Kodrzycki, 1998; Warner and Hefetz, 2003). As an alternative, municipalities can choose to join forces, via inter-municipal cooperation, to provide services that would be too costly for each one alone. Inter-municipal cooperation can reduce public sector spending, as the services provided under this form of management are consolidated via a single entity, whereas there may previously have been a larger number of entities and a higher level of total expenditure (Parks and Oakerson, 1993). In other words, it is hypothesised that small local authorities could employ inter-municipal cooperation to exploit economies of scale (Warner and Hefetz, 2003; Dijkgraaf et al., 2003; Warner, 2006a; Zullo, 2009). In addition, they would retain control of the service provided, which is not the case with outsourcing (Warner, 2006b). For these reasons, assuming that greater cooperation leads to lower spending and thus reduces fiscal stress for local government, there is a high probability that municipalities faced with fiscal stress will opt for the service to be provided in the form of inter-municipal cooperation.

4.      The effect of the great recession on the relationships between fiscal stress and outsourcing or inter-municipal cooperation

As discussed in Section 2, numerous concepts have been proposed for evaluating the financial condition of public entities. However, events of the last decade may have changed how these concepts are viewed. As a result of the globalisation of the economy, events in localised areas can affect economic activity worldwide. This situation has given rise to the concept of crisis management. This concept was first developed in the private sector but in the present context can be readily transferred to the public sector. Crisis management can be clearly differentiated from the concepts of fiscal crisis, fiscal distress and financial condition. These latter are all part of what may be considered the economic and financial problems of a single entity, but crisis management refers to factors and events that influence the business activity of production units and which can also provoke major changes in organisational life (James and Wooten, 2010). These changes may be substantial and structural, and require public managers to adopt strategic responses to adapt the entity to the new circumstances.

For such a crisis to be present, there must exist a set of elements clearly differentiating it from other types of problems. First, a severe threat must be detected (Hermann, 1963), one that could significantly affect the aims of the organisation. The latter author noted that the concept of crisis also incorporates a certain element of surprise. But the entity must react appropriately both to the surprise and to the threat. This is what Hermann terms the short-term decision. Thus, a management crisis should present both these elements, although subsequently both the same author and Brady (1974) downplayed the importance of the element of surprise and of rapid decision taking. This concept of crisis could very well encompass the present Great Recession (GR). The GR has been characterised by its progressive appearance in different settings and the progressive decisions taken in response by different governments. The level of intensity of the crisis has varied among different countries, and the responses made by their governments have also differed. At present, and for the specific case of Europe, countries such as Portugal, Greece, Italy, Ireland and Spain are engaged in a whirlwind dismantling of the public sector, aimed at achieving total control of the public deficit.

This climate of change is also apparent at the local level, which is the object of most studies of financial condition, and thus any research in this field with an international focus, carried out since 2008, must take account of this situation characterising public sector finances in general and those of municipalities in particular. The first references to the situation of municipalities and their financial condition are the studies by López-Hernández et al. (2012) and Pérez-López et al. (2013), analysing the financial condition at the start of the period of crisis management. These studies have reported that the crisis affects different elements of the financial condition of local governments, to varying degrees. The element of financial condition that has undergone the most severe deterioration is that of budgetary sustainability, i.e., the control of the public deficit, which in turn has negatively impacted on budgetary stability. Secondly, the indicators of flexibility, that is, of government debt, have worsened. This latter element has been examined by the second group of authors (Pérez-López et al., 2013), who found that the variables which determine the level of debt, in the period from 2008 to 2011, presented certain differences from those identified in studies conducted during periods of economic stability.

These first studies in the Spanish context corroborate the need to consider the effects of crisis management in evaluating the financial condition of public bodies, particularly at the local level, and its relationship with the emergence of phenomena such as outsourcing and inter-municipal cooperation. The current economic and financial crisis may have altered the elements comprising financial condition and have pushed municipalities into outsourcing services or entering into processes of inter-municipal cooperation. Therefore, we propose the following hypotheses:

H1: The elements of the financial condition affecting the outsourcing of public services differ between the pre-crisis period and during the Great Recession.

H2: The elements of the financial condition affecting processes of inter-municipal cooperation for the provision of public services differ between the pre-crisis period and during the Great Recession.

5.      A study of local governments in Spain

5.1.    Methodology and data

In view of the characteristics of the data and the particular aims of this study, we decided to conduct a stepwise discriminant analysis (Sánchez-Fernández and Luque-Martínez, 2012). This analysis technique was applied for the following reasons:

  • First, because the fundamental purpose of the study was to determine the relationship between behaviour (assessed by a dichotomous variable) and a set of financial indicators (expressed in terms of ten measurement metrics), under the assumption that these indicators may influence the behaviour. This configuration of variables makes the technique especially suitable and also enables us to evaluate the relative weight or importance of each value in characterising the behaviour.
  • Second, having ten independent metrics makes it especially necessary to reduce the dimension of the problem and to develop a model containing the fewest possible independent variables. In this respect, the stepwise procedure for estimating discriminant functions allows us to obtain a model comprised exclusively of the independent variables that offer the greatest discrimination and prediction capacity, while removing potential redundancies among them.

The study sample was constituted of 1,572 local authorities in Spain, each with over 1,000 inhabitants, of the total of 3,106 such Spanish local authorities, for the period 2002-2010. Fiscal stress and economic, financial and budgetary data were obtained from the Directorate General for Financial Coordination with Regional and Local Authorities (DGCFCAEL). The number of inter-municipal cooperation processes was ascertained by consulting the general database of local entities, maintained by DGCFCAEL Finally, a purpose-built database was constructed by incorporating the announcements published by local authorities in Spanish official provincial gazettes regarding the outsourcing of certain services. Information about the descriptive statistics is given in Table 2.

 

N

Minimum

Maximum

Mean

Std. Deviation

NSI

14148

-3.104772859

0.89351469

0.07

0.16

TVCR

14148

0.042473713

0.964158577

0.58

0.15

NFBRI

14148

0.310360754

3.495602817

1.02

0.17

TE/G

14148

0.069991998

2.765167007

0.57

0.21

CSI

14148

-192.8107649

6564.840583

3.71

59.35

LI

14148

-90.87335352

6555.557724

2.34

58.91

TVFCI

14148

0.206163572

51853.79258

33.43

615.93

CETV

14148

0.090599958

5.330711451

0.69

0.27

Debt

14148

0.00E+00

6776856000

12798263.92

155579214.09

ITRANSF

14148

0.044581194

0.947001888

0.46

0.16

Table 2. Descriptive variables

5.2.    Results

The first variable under analysis was outsourcing, and note was taken of the differences between the two groups defined by the dependent variable in relation to the measures for the ten values ​​considered. However, not all the differences observed between the two groups were statistically significant. Thus, the last column in Table 3 shows that only 5 of the 10 variables revealed significant differences between the two groups.

Variable

Non-outsourcers:

mean value

Outsourcers:

mean value

Total

Sign.

Wilks’ Lambda

F

Sig.

NSI

0.07

0.07

0.07

0.440

1

0.596

0.440

TVCR

0.57

0.63

0.58

0.000

0.984

222.734

0.000

NFBRI

1.02

1.02

1.02

0.861

1

0.03

0.861

TE/G

0.56

0.65

0.57

0.000

0.98

295.409

0.000

CSI

3.73

3.56

3.71

0.914

1

0.012

0.914

LI

2.36

2.16

2.34

0.896

1

0.017

0.896

TVFCI

35.40

17.19

33.43

0.274

1

1.198

0.274

CETV

0.68

0.74

0.69

0.000

0.995

72.808

0.000

Debt

5433871.57

73266829.19

12798263.92

0.000

0.982

265.151

0.000

ITRANSF

0.47

0.37

0.46

0.000

0.971

427.854

0.000

Table 3. Equality of the means

More specifically, it was found that the non-outsourcing group presents values that are higher and very different from those of the group that does outsource, with respect to the TVCFI variables and the short-term solvency ratios (CSI and LI). Moreover, the mean debt level of municipalities that outsource far exceeds that of the non-outsourcers, which corroborates the findings reported by Pérez-López et al. (2013).

In general, the existence of these significant differences between the two groups regarding these variables suggests it may be possible to develop an explanatory model to predict membership of these groups from the individual valuations for these variables.

Since the dependent variable divides the sample into two groups (non-outsourcing vs. outsourcing), discriminant analysis provides a single discriminant function that forms the basis for classification and prediction.

In this case, the discriminant function has a canonical correlation of 0.22, indicating that the function has an average association with the dependent variable that it is intended to predict. However, the analyses carried out clearly reveal significant differences in the mean discriminant scores for the two groups (Wilks’ Lambda = 0.952, significance = 0.000), which shows that this function has a certain discriminant capacity between the groups defined by the dependent variable.

The stepwise inclusion procedure resulted in the inclusion in the discriminant function of only four of the ten independent variables. The following table shows the values ​​of the standardised coefficients of these variables in the discriminant function.

Variable

Coefficient

NFBRI

-0.089

CETV

0.374

Debt

-0.574

ITRANSF

0.999

Table 4. Standardised coefficients of the discriminant function

From these values, we conclude that the four variables that make up the resulting model have unequal weights in shaping the discriminant function (between -0.089 and 0.999). Furthermore, these values ​​allow us to anticipate that the discriminant function will clearly distinguish between municipalities with higher CETV, ITRANSF and NFBRI values. In other words, those with higher levels of current expenditure in relation to their tax revenues, those with higher costs of transfers to other entities and those with higher budget deficits are all more likely to outsource public services. For the debt variable, we find a similar situation. Decreases in municipal debt increase the likelihood of outsourcing taking place. This may be due to the fact that municipalities which outsource public services do not need to incur higher levels of debt, as they have already reduced spending by outsourcing their services (Pérez-López et al., 2013, 2014).

Outsourcing

Function

Pre-crisis function

GR function

1

1

1

0

0.079

0.077

0.097

1

-0.646

-0.739

-0.608

Nonstandardised canonical discriminant functions evaluated at the mean values for the groups

Table 5. Functions at the centroids of the groups

Figure 1. Correlations between the discriminant function and the independent variables (structure matrix)

Regarding the model’s predictive capabilities, the results show that the discriminant function correctly predicts 64.2% of cases. In addition, for the non-outsourcing municipalities, this prediction rate is 64.2%, very similar to the outsourcing group (64.6%) (see Table 6). In general, however, this solution achieves a considerable improvement in the classification of cases, with a hit ratio that is higher than the percentage of cases that could be classified correctly by chance (50%). Furthermore, Press’s Q statistic corroborates the predictive ability of the model (Q = 1141).

  

0

1

 

Count

0

8091

4521

12612

1

544

992

1536

%

0

64.2

35.8

100

1

35.4

64.6

100

Table 6. Classification results

In view of the study aims, we were particularly interested in determining whether a similar explanation could be found for the behaviour of the dependent variable in the pre-crisis period (before 2008) in comparison to that for the GR (from 2008). Therefore, the discriminant analysis was repeated, obtaining the results discussed below.

With respect to the test for the equality of the means of the independent variables, the significant differences obtained previously were repeated in the same five variables as was the case for the combined sample group, for each of the two periods (see Table 7).

 

Pre-crisis

GR

Wilks’ Lambda

F

Sign.

Wilks’ Lambda

F

Sign.

NSI

1

1.169

0.280

1

0.858

0.354

TVCR

0.985

142.315

0.000

0.979

101.542

0.000

NFBRI

1

1.252

0.263

1

0.283

0.595

TE/G

0.977

220.025

0.000

0.969

150.21

0.000

CSI

1

0.001

0.978

1

1.926

0.165

LI

1

0.001

0.979

1

1.71

0.191

TVFCI

1

0.899

0.343

1

0.288

0.591

CETV

0.994

54.068

0.000

0.991

42.136

0.000

Debt

0.979

205.033

0.000

0.985

69.406

0.000

ITRANSF

0.968

308.444

0.000

0.959

202.313

0.000

Table 7. Equality of the means

Similarly, the same four variables were obtained as in the general case for the pre-crisis and GR periods, with similar weights, and with the same sign.

Variable

Pre-crisis

GR

NFBRI

-0.128

-0.161

CETV

0.370

0.354

Debt

-0.591

-0.455

ITRANSF

0.984

1.073

Table 8. Standardised coefficients of the discriminant function

For the pre-crisis period, the discriminant function presents a canonical correlation of 0.232 (Wilks’ Lambda = 0.946; significance = 0.000), whereas for the GR, it is 0.236 (Wilks’ Lambda = 0.944, significance = 0.000). Therefore, the discriminant functions are significant and their explanatory power is practically identical. In addition, the coefficients of the discriminant function are similar, and identical for the pre-crisis period and for the GR. We conclude, therefore, that the indicators which determine the fiscal stress-outsourcing relationship were not modified by the onset of the GR. This finding is corroborated by the fact that the percentage of correctly classified cases is also very similar, with 66.1% for the pre-crisis period and 63.3% for the GR.

Table 9:.

 

Total

Pre-crisis

GR

 

0

1

0

1

0

1

0

8091

4521

5641

2902

2586

1483

1

544

992

294

595

235

412

0%

64.2

35.8

66.0

34.0

63.6

36.4

1%

35.4

64.6

33.1

66.9

36.3

63.7

Hit Ratio

64.2%

66.1

63.6

Q

1141

979

347

Table 9. Summary of case classifications

The second variable analysed was that of inter-municipal cooperation. This variable takes the value 1 when the local authority enters into cooperation with another or participates in a consortium, and the value 0 if it does not. The last column of Table 10 shows that for 8 of the 10 variables, there were significant differences between the two groups.

Variable

No cooperation group

Mean value

Cooperation group

Mean value

Total mean

Sign.

Wilks’ Lambda

F

Sig.

NSI

0.073

0.078

0.074

0.272

1

1.207

0.272

TVCR

0.572

0.620

0.576

0.000

0.991

129.051

0.000

NFBRI

1.021

1.036

1.023

0.003

0.999

8.605

0.003

TE/G

0.560

0.636

0.567

0.000

0.989

154.691

0.000

CSI

2.966

11.117

3.714

0.000

0.998

22.282

0.000

LI

1.614

9.539

2.342

0.000

0.998

21.38

0.000

TVFCI

35.131

16.560

33.426

0.300

1

1.073

0.300

CETV

0.681

0.751

0.687

0.000

0.994

80.167

0.000

Debt

10862972.210

31941114.672

12798263.916

0.000

0.998

21.686

0.000

ITRANSF

0.461

0.400

0.455

0.000

0.988

166.894

0.000

Table 10. Equality of the means

The group of local authorities that entered into processes of inter-municipal cooperation presented different values from those obtained for the municipalities that outsourced public services. Our results show that the cooperating municipalities do not present worse levels of short-term solvency or of transfers and subsidies. On the other hand, they do have higher average levels of debt, although, as discussed below, this does not affect the value of the discriminant functions.

The discriminant function has a canonical correlation of 0.12, indicating that the function does not present a very high association with the dependent variable that it is intended to predict. However, the results of the analyses clearly reveal significant differences in the mean discriminant scores of the two groups (Wilks’ Lambda = 0.985, significance = 0.000), which shows that the function does have a certain capacity to discriminate between the groups defined by the dependent variable.

The stepwise inclusion procedure resulted in the inclusion in the discriminant function of only four of the ten independent variables. The following table shows the values ​​of the standardised coefficients of these variables in the discriminant function.

Variable

Coefficient

NFBRI

-0.185

CSI

-0.317

Debt

0.279

ITRANSF

0.867

Table 11. Standardised coefficients of the discriminant function

From these values, we conclude that the four variables that make up the resulting model have unequal weights in shaping the discriminant function (between -0.317 and 0.867). Furthermore, we anticipate that the discriminant function will clearly distinguish between municipalities with higher values ​​for transfers to other entities (ITRANSF) and for level of debt, on the one hand, and those which present negative values for budget deficit and cash solvency, on the other. On comparing these results with those obtained for the case of outsourcing, we see they are very similar, except for the exit of the CETV variable and the entry of CSI (short-term cash solvency) in the discriminant function. This latter aspect means that increases in short-term cash solvency make the municipality less likely to cooperate with others.

Intermunicipal Cooperation

Function

Pre-crisis function

GR

function

1

1

1

0

0.039

-0.042

-0.019

1

-0.384

0.319

0.447

Nonstandardised canonical discriminant functions evaluated at the mean values for the groups

Table 12. Functions at the centroids of the groups

Figure 2. Correlations between the discriminant function and the independent variables (structure matrix)

Regarding the model’s predictive capability, the results show that the discriminant function correctly predicts 57.9% of the cases. For the municipalities that do not cooperate, this predictive capability was 57.7%, a similar value to that for the municipalities that do ​​cooperate (59.7%). Nevertheless, in general, this model obtains some improvement in the classification of cases, since the hit ratio is higher than the percentage of cases that could be classified correctly by chance (50%). In addition, Press’s Q statistic corroborates the predictive ability of the model (Q = 356).

  

0

1

 

Count

0

7420

5429

12849

 

1

523

776

1299

%

0

57.7

42.3

100

 

1

40.3

59.7

100

Table 13. Classification results

The corresponding cluster analysis (pre-crisis vs. GR) produced the results discussed below.

With respect to the test for the equality of the means of the independent variables (see Table 14), the significant differences were not the same for the two periods in question. Indeed, there were also some differences with respect to the overall sample. Specifically, while in the pre-crisis period there were differences for all the variables except NSI, NFBRI and TVFCI, in the GR the differences in CSI and LI also ceased to be significant.

 

Pre-crisis

GR

Wilks’ Lambda

F

Sign.

Wilks’ Lambda

F

Sign.

NSI

1

0.666

0.415

1

0.133

0.715

TVCR

0.991

81.236

0.000

0.994

27.602

0.000

NFBRI

1

1.139

0.286

1

1.351

0.245

TE/G

0.993

70.422

0.000

0.994

30.16

0.000

CSI

0.998

15.977

0.000

1

0.012

0.913

LI

0.998

15.378

0.000

1

0.041

0.840

TVFCI

1

1.141

0.285

1

0.162

0.688

CETV

0.996

39.017

0.000

0.998

10.223

0.001

Debt

0.998

14.513

0.000

0.997

12.039

0.001

ITRANSF

0.991

83.192

0.000

0.994

28.589

0.000

Table 14. Equality of the means

The discriminant functions are significantly different in the two time periods, mainly because in the GR, only TE/G and Debt form part of the discriminant function, and NSI, TVCR and CSI cease to have explanatory power, which means that there was a significant change from the pre-crisis period to the GR in the indicators that determine whether municipalities cooperate with each other.

Variable

Pre-crisis

GR

NSI

-0.291

 

CETV

0.529

 

TE/G

0.440

0.838

CSI

0.347

 

Debt

0.315

0.502

Table 15. Standardised coefficients of the discriminant function

For the pre-crisis period, the discriminant function obtained has a canonical correlation of 0.115 (Wilks’ Lambda = 0.987; significance = 0.000), while for the GR it is 0.092 (Wilks’ Lambda = 0.992; significance = 0.000). Therefore, the discriminant functions are significant and their explanatory power is practically identical. However, it should be noted that when the evaluation period is separated into two sub-periods, the elements of the financial condition that affect the cooperation process change significantly, with the variable that measures the budget deficit (NFBRI) and the index of transfers to other authorities (ITRANSF) being eliminated from the model. Replacing these variables, the model for the pre-crisis period introduces a variable that reflects the flexibility and sustainability of the current budget (NSI). When NSI is negative, the municipality is more likely to cooperate with other local entities. Also introduced is the TE/G variable, which measures the dependence of the local authority on grants in order to meet its expenses; when this variable increase, there is an increased probability of cooperation with other bodies. The third aspect introduced is the variable that reflects the entity’s short-term solvency, although in this period it is positively related with inter-municipal cooperation, and so part of the fiscal stress-intermunicipal cooperation relationship is not accounted for by this variable. Finally, the outstanding debt variable for the pre-crisis period is positively related with cooperation processes, which implies that when debt rises, there is a greater likelihood of the municipality cooperating with others. This occurs because the local authority seeks to transfer debt to other instrumental entities, such as consortia or municipal associations, seeking to keep the debt value off the general account (Pérez-López et al., 2014). In other words, this mechanism is used as a means of debt avoidance1.

Regarding the GR period, it should be noted that the debt variable has a similar effect to that observed for the pre-crisis period, together with the TE/G variable, and so both indicators are associated with an increased likelihood of inter-municipal cooperation. Finally, the percentage of correctly classified cases was significantly higher for the GR period (63.6%) than for the pre-crisis period (55.7%).

 

Total

Pre-crisis

GR

 

0

1

0

1

0

1

0

7420

5429

4588

3738

2885

1638

1

523

776

437

669

77

116

0%

57.7

42.3

55.1

44.9

63.8

36.2

1%

40.3

59.7

39.5

60.5

39.9

60.1

Hit Ratio

57.9

55.7

63.3

Q

356

124

250

Table 16. Case classification summary

6.      Discussion and conclusions

Fiscal stress is one of the main variables included in models seeking to identify the factors that explain why municipalities outsource and enter into inter-municipal cooperation agreements for the provision of public services. However, no in-depth study has previously been made of this variable. According to several theories, the presence of a situation of fiscal stress may provoke changes in how municipal services are provided, in order to reduce costs and thus levels of fiscal stress. But what factors in the entity’s financial condition induce it to carry out these changes? Previous studies have only considered the possibility of outsourcing, but there are others that municipalities could adopt in order to reduce the costs of their services. For this reason, we have broadened

the analysis, examining the impact of fiscal stress on management changes, not only regarding outsourcing to a private operator, but also addressing the question of inter-municipal cooperation. The results obtained show that when a set of financial indicators present values according to which municipalities are undergoing financial stress, these authorities will conduct operations to outsource public services and/or engage in cooperation with other municipalities. For both cases, the methodology applied in this study, that of discriminant analysis, obtained discriminant functions that were sufficiently precise to enable us to predict with a high degree of probability when a municipality will outsource services or enter into inter-municipal cooperation, in reaction to a state of fiscal stress. However, the elements that lead to these two outcomes vary slightly. While the variables that have the greatest impact on the outsourcing process are related to spending on transfers, budget sustainability and the flexibility of the entity, measured by its outstanding debt, cooperation processes are influenced, in addition to the latter factors, by the short-term solvency of the entity.

The division of the period of analysis into pre-crisis (2002-2007) and crisis (2008-2010) reveals differences in the behaviour pattern. While the GR did not alter the elements of the financial condition that lead municipalities to outsource services, there were significant changes with respect to processes of inter-municipal cooperation. On the other hand, in the pre-crisis period, questions of sustainability, flexibility and short-term solvency led municipalities to outsource their services, while during the GR, only debt and financial independence had a significant influence on cooperation decisions.

Another noteworthy finding is that the debt variable presented a different behaviour for the two responses: while it was negatively associated with outsourcing, the sign for cooperation was positive, because in the accounts item of outstanding debt municipalities are obliged to include the debt of the consortia or municipal associations in which they participate.

As a future line of research, we intend to analyse other forms of management open to local authorities in their aim to become more efficient and to overcome situations of fiscal stress. These forms include the creation of autonomous organisations and the provision of services by provincial councils. Finally, more complex analytic methods will be used, highlighting the strength and direction of relationships among the variables that may account for the level of outsourcing. To this end, and in view of the strong correlations between many of the financial indicators, we propose a preliminary factor analysis to identify specific factors that, after explaining and justifying their possible relations in terms of the corresponding theory, will allow us to use structural equation models based on a path-analysis method to explain the level of outsourcing and other forms of management.

References

Bel, G. and Fageda, X (2007). Why do local governments privatize public services? A survey of empirical studies. Local Government Studies, 33(4), 517-534.

Bel, G., Fageda, X. and Warner, M.E. (2010). Is private production of public services cheaper than public production? A meta-regression analysis of solid waste and water services. Journal of Policy Analysis and Management, 29(3), 553-577.

Berne, R. (1992). The Relationships between Financial Reporting and the Measurement of Financial Condition (Government Accounting Standard Board Research Report No. 18). Norwalk, CT: GASB.

Boyne, G.A. (1998). Bureaucratic theory meets reality: Public choice and service contracting in U.S. local government, Public Administration Review, 58(6), 474-484.

Brady, L.P. (1974). Threat, Decision Time, and Awareness: The Impact of Situational Variables on Foreign Policy Behavior (Unpublished Doctoral Dissertation). Ohio State University, Political Science Department.

Brown, T.L., Potoski, M. and Van Slyke, D.M. (2008). Changing modes of service delivery: How past choices structure future choices. Environment and Planning. Government and Policy, 26(1), 127-143.

Brudney, J., Fernandez, S., Ryu, J. and Wright, D. (2005). Exploring and explaining contracting out: Patters among the American States. Journal of Public Administration Research and Theory, 15(3), 393-419.

Canadian Institute of Chartered Accountants (CICA) (1997). Indicators of Government Financial Condition. Toronto, Ontario, Canada.

Christensen, T., Fimreite, A.L. and Lægreid, P. (2011). Crisis management: The perceptions of citizens and civil servants in Norway, Administration & Society, 43(5), 561-594.

Cohen, S., Doumpos, M., Neofytou, E. and Zopounidis, C. (2012). Assessing financial distress where bankruptcy is not an option: An alternative approach for local municipalities. European Journal of Operational Research, 218(1), 270-279.

Dijkgraaf, E., Gradus, R.H.J.M. and Melenberg, B. (2003). Contracting out refuse collection. Empirical Economics, 28(3), 553-570.

Ferris, J. (1986). The decision to contract out: An empirical analysis. Urban Affairs Quarterly, 22(2), 289-311.

Greenberg, J. and Hillier, D. (1995). Indicators of Financial Condition for Governments. Paper presented at the 5th Conference of Comparative International Governmental Accounting Research, 4th– 5thMay, Paris-Amy, France.

Greene, J.D. (2002). Cities and privatization: Prospects for the new century. Upper Saddle River, NJ: Prentice Hall.

Groves, M., Godsey, W. and Shulman, M. (2003). Evaluating Financial Condition: A Handbook of Local Government (3rd Ed.). Washington, DC: The International City/County Management Association.

Hebdon, R. and Jalette, P. (2008). The restructuring of municipal services: A Canada–United States comparison, Environment and Planning C: Government and Policy, 26(1), 144-158.

Hendrick, R. (1989). Top-down budgeting, fiscal stress and budgeting theory. The American Review of Public Administration, 19(1), 29-48.

Hendrick, R. (2004). Assessing and measuring the fiscal health of local government. Focus on Chicago suburban municipalities. Urban Affairs Review, 40(1), 78-114.

Hendrick, R. (2011). Managing the Fiscal Metropolis. The Financial Policies, Practices, and Health of Suburban Municipalities. Washington, DC: Georgetown University Press.

Hermann, C.F. (1963). Some consequences of crisis which limit of viability of organization. Administrative Science Quarterly, 8(1), 61-82.

Honadle, B.W. (2003). The states’ role in U.S. local government fiscal crises: A theoretical model and results of a national survey. International Journal of Public Administration, 26(13), 1431-1472.

Hood, C. (1995). The “new public management” in the 1980s: Variations on a theme. Accounting, Organizations and Society, 20 (2/3), 93-109.

International City Management Association (ICMA) (1989). Service delivery in the 90s: Alternative Approaches for Local Governments. Washington, DC. 

International City Management Association (ICMA)(2003). Evaluating Financial Condition: A Handbook for Local Government (fourth edition). Washington, DC.

James, E.H. and Wooten, L.P. (2006). Diversity crises: How firms manage discrimination lawsuits. Academy of Management Journal, 49(6), 1103-1118.

James, E.H. and Wooten, L.P. (2010). Leading under Pressure: From Surviving to Thriving Before, During, and After a Crisis. New York: Routledge Press.

Kloha, P., Weissert, C.S. and Kleine, R. (2005a). Developing and testing a composite model to predict local fiscal distress. Public Administration Review, 65(3), 313-323.

Kloha, P., Weissert, C.S. and Kleine, R. (2005b). Someone to watch over me. State monitoring of local fiscal conditions. The American Review of Public Administration, 35(3), 236-255.

Kodrzycki, Y. (1998). Fiscal pressures and the privatization of local services. New England Economic Review, pp. 39-50.

Levin, J. and Tadelis, S. (2005). Contracting for Government Services: Theory and Evidence from U.S. Cities. Stanford University, Mimeo.

López-Hernández, A.M., Zafra-Gómez, J.L. and Ortiz-Rodríguez, D. (2012). Effects of the crisis in Spanish municipalities’ financial condition: An empirical evidence (2005–2008). International Journal of Critical Accounting, 4(5/6), 631-645.

Lorig, A.N. (1941). Determining the current financial position of a city. The Accounting Review, 16(1), 41-49.

Maitlis, S. and Sonenshein, S. (2010). Sensemaking in crisis and change: Inspiration and insights from Weick (1988). Journal of Management Studies, 47(3), 551-580.

Miranda, R. (1994). Explaining the privatization decision among local governments in the United States. Research in Urban Policy, 5, pp. 231-274.

Mohr, R., Deller, S.C. and Halstead, J.M. (2010). Alternative methods of service delivery in small and rural municipalities. Public Administration Review, 70(6), 894-905.

Moore, S. (1987). Contracting out: A painless alternative to the budget cutter’s knife. Proceedings of the Academy of Political Science, 36(3), 60-73.

Morgan, D.R. and Hirlinger, M.W. (1991). Intergovernmental service contracts: A multivariate explanation. Urban Affairs Quarterly, 27(1), 128-144.

Mouritzen, P.E. and Nielsen, K.H. (1988). Handbook of Comparative Urban Fiscal Data. Odense, Denmark: Danish Data Archives.

Pallesen, T. (2004). A political perspective on contracting out: The politics of good times. Experiences from Danish local governments. Governance, 17(4), 573-587.

Parks, R.B. and Oakerson, R.J. (1993). Comparative metropolitan organization: Service production and governance structures in St Louis (Mo) and Allegheny County (Pa). Publius, 23(1), 19-40.

Pérez-López, G., Plata-Díaz, A.M., Zafra-Gómez, J.L. and López-Hernández, A.M. (2013). Deuda viva municipal en un contexto de crisis económica: Análisis de los factores determinantes y de las formas de gestión. Revista de Contabilidad – Spanish Accounting Review, 16(2), 83-93.

Pérez-López, G., Plata-Díaz, A.M., Zafra-Gómez, J.L. and López-Hernández, A.M. (2014). Operaciones fuera de presupuesto (off budget), factores políticos y deuda municipal: Un estudio empírico aplicando una metodología de datos de panel. Gestión y Política Pública, 23 (1), 185-218.

Peters, B.G. (2011). Governance response to the fiscal crisis-comparative perspectives. Public Money and Management, 31(1), 75-80.

Sánchez-Fernández, J. and Luque-Martínez, T. (2012). Análisis Discriminante. Luque-Martínez, T. (2nd Ed.). Técnicas de Análisis de Datos en Investigación de Mercados. Madrid: Pirámide.

Savas, E.S. (2000). Privatization and Public–Private Partnerships. New York: Chatham House Publishers.

Tiebout, C.M. (1956). A pure theory of local expenditures. Journal of Political Economy, 64(5), 416-424.

Touche-Ross Company (1987). Privatization in America.NY: Department of Commerce, Bureau of the Census (1988). County and City Data Book.

Vickers, J. and Yarrow, G. (1988). Privatization: An Economic Analysis. Cambridge, MA: MIT Press.

Wang, X., Dennis, L. and Sen, Y. (2007). Measuring financial condition: A study of U.S. States. Public Budgeting and Finance, 27(2), 1-21.

Warner, M.E. (2006a). Market-based governance and the challenge for rural governments: U.S. trends. Social Policy and Administration: An International Journal of Policy and Research, 40(6), 612-631.

Warner, M.E. (2006b). Inter-municipal cooperation in the U.S.: A regional governance solution? Urban Public Economics Review/Revista de Economía Pública Urbana, 7, pp. 132-151.

Warner, M.E. and Bel, G. (2008).Competition or monopoly? Comparing privatization of local public services in the US and Spain. Public Administration, 86(3), 723-735.

Warner, M.E. and Hefetz, A. (2003). Rural-urban differences in privatization: Limits to the competitive state. Environment and planning. C: Government and Policy, 21(5), 703-718.

Zafra-Gómez, J.L., López-Hernández, A.M. and Hernández-Bastida, A. (2009ª). Developing a model to measure financial condition in local government: Evaluating service quality and minimizing the effects of the socioeconomic environment: An application to Spanish municipalities. American Review of Public Administration, 39(4), 425-449.

Zafra-Gómez, J.L., López-Hernández, A.M. and Hernández-Bastida, A. (2009b). Developing an alert system for local governments in financial stress. Public Money and Management, 29(3), 175-181.

Zafra-Gómez, J.L., López-Hernández, A.M. and Hernández-Bastida, A. (2009c). Evaluating financial performance in local government: Maximizing the benchmarking. International Review of Administrative Science, 75(1), 151-167.

Zullo, R. (2009). Does financial stress induce privatization? Correlates of private and intermunicipal contracting, 1992–2002.Governance: An International Journal of Policy, 22(3), 459-481.

Uso de cookies

Este sitio web utiliza cookies para que usted tenga la mejor experiencia de usuario. Si continúa navegando está dando su consentimiento para la aceptación de las mencionadas cookies y la aceptación de nuestra política de cookies, pinche el enlace para mayor información.plugin cookies

ACEPTAR
Aviso de cookies