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Inicio Journal of Economics, Finance and Administrative Science Does innovation strategy affect financial, social and environmental performance?
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Vol. 21. Núm. 40.
Páginas 14-24 (junio 2016)
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Vol. 21. Núm. 40.
Páginas 14-24 (junio 2016)
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Does innovation strategy affect financial, social and environmental performance?
¿Afecta la estrategia de innovación al rendimiento financiero, social y ambiental?
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4806
Ferdaws Ezzia,
Autor para correspondencia
ferdawsezzi@yahoo.fr

Corresponding author. ISAAS, BP 1013 - 3018 Sfax-Tunisia, 680 450, University of Sfax, Sfax, Tunisia, Tel.: +00216 74 680 460; fax: +00216 74.
, Anis Jarbouib
a PHD, student in Financial and Accounting Methods: LARTIGE Sfax, University of Gabes, Gabes, Tunisia
b Doctor and HDR Financial and Accounting associate professor of Universities Higher Institute of Business Administration (ISAAS), University of Sfax, Tunisia
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Tablas (8)
Table 1. Sample distribution.
Table 2. Social performance factors (22 items).
Table 3. Environmental performance factors (6 items).
Table 4. Descriptive analysis.
Table 5. Pearson correlation (relation diversification-FP).
Table 6. Pearson correlation (relation R&D-SP).
Table 7. Pearson correlation (relation R&D-EP).
Table 8. (Linear regression of three models with MCG method by Eviews7).
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Abstract

In the very study, the emphasis lays on the specific problem of analyzing the impact of the innovation strategy (in particular investment in research and development) on the financial, social and environmental performance. After discussing this subject theoretically, we propose our research hypotheses which, in turn, will be corroborated by an empirical study of 96 Tunisian companies. Indeed, the results are noteworthy and important to the extent that one can say that the innovation strategy has a crucial impact on the performance of the companies.

Keywords:
Innovation strategy
Social performance
Financial performance
Environmental performance
JEL classification:
20
Resumen

El énfasis de este estudio recae sobre el problema específico del análisis del impacto de la estrategia de innovación (en concreto, las inversiones en investigación y desarrollo) sobre el rendimiento financiero, social y ambiental. Después de analizar este asunto desde el punto de vista teórico, se propone una hipótesis de investigación que, a su vez, deberá ser corroborada por un estudio empírico de 96 empresas tunecinas. De hecho, los resultados son destacados e importantes, y permiten decir que la estrategia de innovación tiene un impacto crucial en el rendimiento de las empresas.

Palabras clave:
Estrategia de innovación
Rendimiento social
Rendimiento financiero
Rendimiento ambiental
Texto completo
1Introduction

In recent years, there has been a shift from a single-criterion- performance model to a several-criteria performance model that incorporates the expectations of the different stakeholders; namely, the shareholders, the customers, the employees and so on. The performance indicators are a major tool of the management control system. Their importance resides in the performance measurement and in the control of the resource allocations. Accordingly, the company is usually expanded to maximize not only its financial performance but also its social and environmental performance. This concept is presented as a precautionary stakeholder model established by Freeman (1984) who highlights the problem of profitability. CSR was defined by Bowen (1953) as the prerequisite that business leaders must implement. CSR entails strategies, decisions and practices that go along with the goals and values of the community in general. In the 1990s, CSR became the crux of the matter of the long-lasting development within the company.

Thereafter, Hoffman and Bansal (2012) stated that companies must consider the environmental issues as a strategic problem by focusing on the relationship between the company and its environment. Caroll (1979) provided a conceptual model based on three dimensions: the principles, manner, and the values of social responsibility. Wartick and Cochran (1985) maintained CSR as the principles which incorporate the structure of this notion; the procedures that were implemented to develop the ability to be socially responsible and the policies resulting from this same ability. Equally important, Wood, George-Falvy, and Debowski (1991) proposed a model that incorporates the principles, the procedures, the organizational practices and responsibility as well as the results brought about by the actions and the choices carried out by the company.

Whereas, some researchers keep integrating the study of the relationships between business and environment (Business and Natural Environment) in the field of study of the relationship of the concept CSR. The relation between this concept and the financial performance builds the concept of total performance. Hence, the company grows so as to maximize not only its financial performance but also its social and environmental performance. So, the company chooses to be established in several projects, strategies and others which aim at growth, profitability and perennial. In this context, companies are seeking to be distinctive either by creating, renewing or maintaining by means of innovation and diversification through their divisions. Therefore, it resorts to set up in several projects, strategies and others which aim at growth, profitability and sustainability. Hence, the study of the effect of innovation on the corporate performance becomes a key issue. Meanwhile, we will try to find an answer to the question of the effect of the innovation strategy on the financial, social and environmental performance by referring to the theories that have shown the effect of the innovation strategy on the business performance.

Our objective is to study the effect of innovation strategy on the financial, social and environmental performance of the Tunisian companies; the main contribution of this work is to explain how the innovation strategy can affect not only financial performance but also social and environmental performance, that we applied the method of rating agency KLD to the Tunisian companies. The results are noteworthy and important to the extent that one can say that the innovation strategy has a crucial impact on the performance of the companies.

This article is structured as follows: Section 2 presents the related literature and the theories which motivate the empirical work; Section 3 presents the hypotheses will be tested, Section 4 discusses the empirical strategies that were adopted; and Section 5 presents the main results and discussion.

2The theoretical grounds for the relationship between the innovation strategy and the performance companies

Many theories have addressed the relationship between the innovation strategy and the corporate performance in order to answer the question of the effect of the strategic choice on the business performance.

2.1Industrial approach

This approach stems from the work of Mason (1939) and Bain (1951) in industrial economics. Such an approach considers the effect of the industrial structure on the types of the strategies adopted by the companies which explain the business performance. Again, the works of Caves and Porter (1977) affirm that the company can be successful only when it occupies a remarkable position in the product market and maintains it by setting barriers at the entry (according to the industrial approach).

2.2The Chicago School

In this school, businesses are different and do not have the same skills to achieve the same performance. So, the skills of the individuals and the work teams that make up the business play a significant role in the strategic choice within the companies. This role has an effect on the corporate performance when the company is more efficient than its competitors. (Demsetz, 1975; Stigler, 1964). In this context, the strategic choice affects the business performance since the differences in the efficiencies stemming from this choice have a direct impact on the corporate performance.

2.3The resource-based view

This theory emerged in the mid 1980s in the work of Rumelt (1984) and Barney (1985). Durant (1997) says that “the development of the firm depends not only on its external position and the defensive game to which it is subject, but a part of its success also depends on the resources that it possesses and on the way it behaves to offer the services to its customers”. In this theory, the company is a combination of natural productive resources, physical and human; they can be both tangible and intangible. With these resources, it can create a competitive advantage; that is to say, its performance is higher than its competitors’ (Penrose, 1959; Barney, 1991, 1985; Grant, 1991). According to Porter (1986), the competitive advantage “mainly lies in the value that a firm is able to create for its customers”. The resource is “an appropriate and relevant theoretical framework to really understand the origin of the firms’ performance”: Referring to this theory, recent researches are inclined to the relationship between innovation (in terms of product, market, labor, culture...) and organizational performance. In a complex innovative, unstable and turbulent environment, the companies can adapt thanks to their internal resources and skills. Wernerfelt (1984) shows that a company that is able enough to develop and use its skills and strategic resources is more efficient than one that is unable to manage its internal skills and resources. According to this theory, innovation may carry annuities due to the difference in efficiency between companies (if different from the Chicago School). The company resources can be the key of its success because they enable it to increase its production and to create values (Hunt, 2000, Hunt & Morgan, 1995). The companies with good resources and skills, in fact, choose the best strategies to produce effective and efficient products that meet the customer needs; that is how social performance can be fulfilled.

2.4The agency theory

The agency theory highlights the conflicts of interest between the stakeholders in the firm. According to Albouy (2006), “to create value for the shareholders is to have the customers satisfied with the good products, developed by motivated employees and quality, together with the best suppliers and subcontractors by complying with the regulations imposed by the authorities”. In this context, it is worth mentioning that the decision of innovation in an uncertain project may increase the conflicts of interest between the shareholders and the managers because they do not have the same degree of risk aversion. In other words, the shareholders are willing to endure a higher level of risk than the leaders since they have a diversified portfolio that assumes that diversification reduces the risk. In contrast, the leader chooses a less risky strategy to guarantee the employment security and the short-term profitability since his wealth depends to a great extent on the value of the company that he runs which would be in the interests of shareholders (Charreaux, 1993). This can lead to major investment issues (Porter, 1992): the efficient allocation problems of corporate resources (Jensen & Meckling, 1976) which are the agency costs.

2.5The transaction costs theory

Williamson (1994) analyzes the investment decision as a particular transaction in which the degree of the asset specificity plays an important role. The transaction costs are presented by Coase (1937) and, then, taken up and developed by Williamson (1975). These costs are many and include the information search costs and negotiation before signing a contract (ex ante transaction costs) and the costs of monitoring the implementation of this agreement after signing the contract (ex post transaction costs). Williamson (1985) thinks that a couple of behavioral concepts result from these costs: bounded rationality and opportunism. These two factors explain the failure of the markets to function efficiently. Simon (1957) argues that bounded rationality is the cognitive hypothesis on which the economy of transaction costs is based (Williamson, 1993). In fact, it is the inability of the agents to be fully informed and to treat all the reliable information available which leads to incomplete contracts and to the emergence of the phenomenon of opportunistic behavior. Indeed, Williamson (1993) developed the concept of opportunism which means that the agents seek to serve their own personal interests. According to Brousseau (1993) “the officers are sufficiently rational to try to benefit from the gaps and shortcomings of the contractual arrangements they establish”. Indeed, Williamson (1994) distinguishes two types of opportunism: the first is the ex ante opportunism which consists in the manipulation or the non-disclosure of information prior to the award of a contract to obtain a better deal. The second is the ex post opportunism that is the temptation of the contracting parties to change the terms of the contract. Hence, there comes the incompleteness of contracts between the agents (moral risk).

2.6A strategic approach

Unlike the agency theory that does not effectively describe the managerial behavior, Lane, Kasian, Owens, and Marsh (1998) say that the leaders will not be selfish and opportunistic if their interests are not directly and clearly at stake. Consequently, the share-structure is slightly related to diversification. The explanation of the strategic decisions based on the shareholders’ control is not satisfactory because the outside shareholders, even the majority, do not have enough information to evaluate the strategic decisions. As part of the strategic theories of corporate governance, the board of directors is considered a cognitive tool helping to create skills (Charreaux, 2000). These theories also assign the board of directors a different role from that in the contractual theories (financial and partnership). Indeed, Charreaux (2000) believes that “the intangible nature of the new economy and the role played by innovation and knowledge make us reconsider the corporate governance and, therefore, the function of the Board of Directors”. The Board of directors facilitates the development of skills and assists in the production of new opportunities; in short, it contributes to the innovation process.

2.7The stewardship theory

There is a big difference between the agency theory and the stewardship theory. The first proposes a conception of man as an actor with a rational character seeking to maximize his interests; it is an economic approach based on the leaders’ opportunism. The second is based on a sociological and psychological approach in which the agent seeks to maximize his interest by respecting the interests of the organization to which he belongs (Donaldson, 1990; Donaldson & Davis, 1991; Davis, Schoorman & Donaldson, 1997); hence, the convergence is between the shareholders and the managers. In this theory, the board of directors can play its role (Charreaux, 2000) this approach proposes to go beyond the main limitations of the agency theory in which the managers behave as “good stewards” who are not necessarily motivated by individualistic goals. Their objectives can easily converge on those of the shareholders. Indeed, the manager may agree on a high value of cooperation. This theory is not limited to the issue of financial incentives, but it recognizes a number of non-financial reasons (R & D) of managerial behavior and gives an intrinsic motivation to act in favor of the interests of the organization without any need to an external control and supports the idea of the active school which enhances the strategic role of the board of directors (Hung, 1998; Stiles, 2001). This motivation leads to a long-term trust between the officer and the shareholder. According to Muth and Donaldson (1998) “the boards dominated by inside directors contribute to the depth of knowledge, expertise and the commitment of the firm; thus, this facilitates the board to play its active strategic role”.

2.8The cognitive theory

“The governance theories do not aim to study the way the leaders reign —which would lead to confuse governance and management— but the way they are governed”. (Charreaux, 2004). The works of Berle and Means (1932) are the first to highlight the birth of the corporate governance concept by introducing the impact of property on the business performance. They deduce that the larger the leader's capital in the company is, the higher the financial performance will be (financial governance) (Jensen & Meckling, 1976; Daily, Dalton, & Cannella, 2003). Like the stewardship theory, the cognitive theory is also characterized by the fact of improving the efficiency of the leaders in the company. This efficiency allows creating the value that requires research and development as well as managerial skills (Wirtz, 2006). The officer will be cautious of his decisions since they influence performance (Rindova, 1999; Charreaux, 2004). The cognitive theory is linked to the leader's behavior. Therefore, a new theory is born; namely, the behavioral governance (Charreaux, 2011). The behavioral biases affect the agency costs (Charreaux, 2011). “Propose an integrating approach to the latitude that can offer a better understanding of the relationship between the characteristics of the leader, governance and the firm performance” (Charreaux, 2008a,b). In this, Charreaux combines the different theories (cognitive, behavioral, disciplinary, and strategic) in a model that characterizes the upper levels theory (Hambrick & Mason, 1984). It is based on the fact that the environment has a direct effect on the type of the leader who in turn affects the strategic choices and the performance of the firm. According to Charreaux (2011), the cognitive theory attaches importance to the capacity of the firm to innovate, to create the investment opportunities and to change the environment. “The firm is able to learn and to create knowledge. Thus, the notions of learning, competence and innovation have become increasingly crucial to understand the value creation process. Therefore, governance is apprehended by its ability to influence the creation of value through the cognitive lever; for example, by facilitating innovation. Such a concept is associated with the «cognitive” model of governance“.

3The hypotheses to be tested

When they studied the effects of the organizational characteristics on the ability of the firm to innovate, Hage and Aiken (1970) showed how it is complex to know the number of specialties within the firm is positively related to the innovation capacity. Equally important, Grabmeier (2002) stated that “diversified firms are more innovative than the specialized ones in the creation of new products and in the investment in research and development”. Others argue that the diversified firms invest more than the specialized companies in R&D activities. In this section, we will try to verify the effect of the innovation strategy on the corporate performance.

3.1The relation between research and development (R&D) and financial performance

Many studies have kept a waking eye on this topic to better understand the relationship that may exist between innovation and financial performance. Generally, such researches confirm the positive effect of investment in R&D on the corporate performance. This relationship has been considered by several researchers such as Schroll and Mild (2011), Van de Vrande, DeJong, Vanhaverbeke, and Rochemont (2009), Börjesson and Löfsten (2012), Colombo, Laursen, Magnusson, and Rossi-Lamastra (2012), and Parida, Westerberg, and Frishammar (2012).

The study of Del Monte and Papagni (2003) shows that the firms that are engaged in the R&D activities have a higher growth rate than the ones those are not. Additionally, Geroski, Machin, and Walters (1997) find a positive relationship between innovation and the competitiveness of the firm and, thus, its performance.

Johnson and Pazderka (1993) argue that there is a positive relationship between R&D and the market value of a firm. Berrone, Surroca, and Tribo (2007) think that investment in R&D has a significant effect on the company performance. Yet, Kothari, Laguerre, and Leone (1998) argue that the innovation based on R&D is more uncertain than investment in equipment. This may adversely affect the business performance.

O’Brien (2003), however, concludes that investment in R&D improves the competitiveness of the company. Griliches (1981), Hirschey and Weygett, 1985; Cockburn and Griliches (1988), and Hall (2000) argue that the company market value is a function of the market value of the company's tangible and intangible assets. The R&D expenditures are positively and significantly correlated with the market value of the business.

Ben-Zion (1984), Connolly and Hirschey (1984) and Pakes (1985) come up with the same result: a positive and significant relationship between the R&D expenditures and the market value of the firm. This result is also substantiated by the studies of Blundell, Griffith, and Van Reenen (1999) and Toivanen, Stonenman, and Bosworth (2002). Also, the study of Bae and Kim (2003) was conducted in three contexts: American, German and Japanese. It shows that the effect of the investment in R&D on the market value of a firm is positive and significant in all countries and is stronger in the case of the Japanese companies. In this context, several studies find a positive correlation between R&D and the market value (Hirschey & Weygett, 1985; Chung & Jo, 1996; Agrawal & Jayaraman, 1994; Bosworth & Rogers, 1998 and Cockburn & Griliches, 1988).

Erickson and Jacobson (1992) conclude that the R&D expenditure of a firm is positively related to financial performance. Yew, Mira, and Chee (2006) declare the existence of a positive relationship between the investment in R&D and the company growth opportunities. Nevertheless, the studies of Hung, Lee, and Lin (2006) come up with the fact that such a relationship is not significant. Merino, Srinivasan, and Srivastava (2006) think that the R&D expenditures have no significant effect on the share-value.

Jarrell, Lehn, and Marr (1985), Woolridge (1988) and Woolridge and Snow (1990) believe that the financial market reacts positively when the investment in research and development is announced. In fact, these results are confirmed by Lichtenberg and Siegel (1991) and John, John, and Sundaram (1996) and Bloch (2003) and Chan, Faff, Gharghori, and Ho (2007) show the existence of a significant and positive relationship between the stock returns and R&D.

The research of Chan et al. (1990), Zantout and Tsetskos (1994) and Szewczyk, Tsetsekos, and Zantout (1996), show that the announcement of the increase in R&D expenditures positively affects the returns of securities. According to Lantz and Sahut (2005), the investment in R&D has a significant effect on the financial performance in terms of profitability and risk. Sougiannis (1994) concludes that there is a correlation that implies the existence of a significant and positive relationship between R&D and the operating incomes. In contrast, the study of Casta et al. (2007) shows that the R&D costs have a negative impact on the operating income. To sum up, the previous studies tend to present conclusive results about the impact of R&D expenditures on the performance of a company. This impact can be either positive or negative.

It is in this sense our fourth assumption is made.H1

Investment in R&D has a (positive or negative) effect on the financial performance of a company.

The companies have to face a new dimension of profit and performance. It is the social performance. Indeed, Quairel (2006) thinks that the company must show that it is “economically viable, socially responsible and environmentally sound”. So, we must wonder about the impact of the innovation strategy on the social performance.

3.2The impact of R&D on the corporate social performance

This new dimension requires the business enterprise to be part of the social change. The goal of innovation is to achieve a new kind of balance that not only takes into account the financial performance but also includes responsibilities related to the sustainable development. According to Oltra and Saint Jean (2011), the integration of innovation in the company is a response to the customer's requests.

For Florida (1996), the customer's demand helps carry out innovation within the company. The econometric results of Horbach (2008) confirm the assumption that the existing demand motivates the companies to innovate. So, the goal of every business is to meet the expectations of the customers; thus, innovation positively affects the social performance of the company. Lev and Sougiannis (1996) show the existence of a direct and positive correlation between investment in research and development and performance (in terms of the shareholders’ satisfaction).

Groff and Nguyen (2012) assert the high significance of the variable “actual or anticipated demand” for product innovations for all sectors (can be customer demand, customers or shareholders). It is the notion of stakeholders that comes here. According to the work of Gallaud, Martin, Reboud, and Tanguy (2012), “demand can integrate the incentive role of the group, shareholders, suppliers or even the employees”.

According to the stakeholder theory (Freeman, 1984), the institutions “should take into account the conflicting expectations of the different interest groups”. In contrast, Simpson, Siguaw, and Enz Cathy (2006) believe that innovation is costly and risky; it negatively affects the results and increases the costs and the employees’ dissatisfaction. Accordingly, one may say that there is a negative relationship between innovation and social performance.

These results denote that the relationship between innovation and social performance is complex and requires more research. But most empirical studies suggest a positive relationship between the innovation strategy and the social performance of the companies. Hence, our hypothesis will explore whether:H2

The innovation strategy has a positive impact on the corporate social performance.

Besides the financial and social performance, today we talk about a new concept of performance that can have a relationship with the innovation strategy because the ways of thinking keep changing and the companies always seek to fulfill the satisfaction of the customers, the employees and so on. Therefore, the concept of environmental performance evolves.

3.3The impact of R&D on the environmental performance of the companies

Kemp et al. (1994) argue that the “techniques, processes and products can eliminate or reduce the emission of pollutants and/or the use of raw materials, natural resources and energy”. Oltra (2008) considers the impact of innovation on the environmental performance is based not only on research and development, but also on technology since the existence of new technologies urges the companies to innovate and to develop new environmental approaches.

Brouillat (2008) argues that the companies are more or less encouraged to engage in environmental trajectories that may require high internal research efforts (R&D). Freeman (1984) state that innovation by changing the “technological systems” upsets the technical and economic foundations of industry.

The works of Baker and Sinkula (2002), Balkin, Markaman, and Gómez-Mejía (2000); Darroch and McNaugton (2002), Lyon and Ferrier (2002), Scherer (1992), Utterback (1994)Vrakking (1990) and Wolfe (1994) show that innovation enables the company to cope with the environmental changes and, subsequently, research and development is very important to achieve environmental performance.

Therefore, one may proclaim that there is a positive relationship between innovation and environmental performance. Besides, Brown and Eisenhard (1995) and Miles and Snow (1978) have shown, after the environment turbulence, that the companies that are able to innovate can challenge environmental problems better than non-innovative ones. They can also take advantage of the market opportunities. Additionally, Wright, Palmer, and Perkings (2005) argue that the same type of environmental change can alter the effect of this strategy on the environmental performance.

According to these works about small businesses, innovation has no effect on the environmental performance of benign environments, but it has a positive effect on the environmental performance in hostile environments. Encaoua, Hall, Laisney, and Mairesse (1998) assume that investment in research and development is an uncertain strategy and negatively affects the business performance “the performance related to innovation actually depends on three types of uncertainties that innovative companies have to face: technological uncertainty, strategic uncertainty and market uncertainty. Technological uncertainty may be faced by a company when the latter decides to devote an effort to R&D in an attempt to implement a discovery”.

Before hand, it is not sure that it will have the necessary expertise to turn the discovery into a technically viable industrial project. Strategic uncertainty means that when a company spends money on the development of an industrial project, it is not sure that it will be the first to bring the corresponding innovation to the market. Market uncertainty, finally, returns to the potential opportunities of innovation. Their existence is rarely achieved when the company chooses an industrial development project. For businesses, this uncertainty is often the most difficult to overcome. Also, the commercial performance of innovation depends on this uncertainty. With reference to these works, one can proclaim the next hypothesis:H3

Research and development has a significant impact on environmental performance.

4Methodology

Our study is aimed at investigating the effect of the innovation strategy on the performance companies. Thus, this research attempts to answer our central question: How can innovation affect the performance of Tunisian companies? Our methodology consists of two parts. The first is used to identify the data collection method and the second is devoted to the results interpretation.

4.1Sample

Our sample involves 96 Tunisian companies with high level on research and development divided into 10 industries which are: chemistry, distribution, food processing, transportation, industries, computer, other consumer goods, consumer services, buildings, and services. Companies belonging to the financial sector are excluded (banks, insurance company...) because they have a unique financial structure. Table 1 summarizes the distribution of the sample by industries.

Table 1.

Sample distribution.

Industry  Number of business 
Chemistry  5,2% 
Distribution  2,083% 
Food processing  15  15,625% 
Transportation  2,083% 
Industries  15  15,625% 
Computer  9,375% 
Consumer services  31  32,291% 
Other consumer goods  3,125% 
Buildings  2,083% 
Services  12  12,5% 
Total  96  100 
4.2Collection and the data sources

Our purpose is to verify the role of innovation strategy in performance. So, we need to know about the data concerning the innovation strategy, social performance, environmental performance and financial performance. Regarding innovation strategic, we gathered the needed data from the annual reports of the listed companies on the Tunisian tustex site, accessed the web-sites of the unlisted companies and contacted them by mail, fax and telephone to find out the necessary information to measure this variable. By using a questionnaire, we measured social performance and environmental performance (the questionnaire is sent to the leader of the companies which have a high level of investment in research and development). The data collection was carried out in 2013. We used several methods to gather information: personal investigation (by appointment: direct interview with the company leader of a duration of 45minutes), telephone survey, fax inquiry and internet survey. The Ministry of Tunisian industry as well as several business centers, namely the business center of Sfax, helped us.

The questionnaire was based on the dimensions that seek to assess the company management with respect to its stakeholders (employees, customers, suppliers, shareholders, etc.). In the Tunisian context, the concept of social performance is limited and restricted. Therefore, we limited this performance to four main areas: employees, customers, community, country.

4.3Variables

In this context, it is appropriate to separate the dependent variables from independent ones:

4.3.1Measurement of the dependent variables

The dependent variables are the three forms of performance: financial performance, social performance and, finally, environmental performance.

4.3.1.1Financial performance (FP)

It is measured through several methods such as ROA, ROE (detailed in the first chapter). To measure financial performance, we used Return on Equity (ROE) which is used by many authors such as Brown and Caylor (2004).

The “return on equity” or “equity return rate” or the “equity return” is the ratio between the net income and the shareholders’ equity. It measures the ability of a business to generate profits from its net equity. The data is extracted from the income statements of the sample firms for the years from 2009 to 2013. According to these data, we calculated the ROE for each year. On this basis, we calculated the average ROE 2009-2013.

4.3.1.2Social and environmental performance

In the previous paragraph, we have shown that we have adopted a questionnaire to calculate the social and environmental performance. We have adopted the methodology of the KLD1 (Kinder, Lydenberg, Domini) rating agency to measure the dependent variables which are the social and environmental performance.

  • Social performance: we have 4 axes:

    • -

      Customer relationships: we used 8 items to measure the firms’ social involvement regarding their relationships with their customers in terms of loyalty, satisfaction and encouragement. For each firm, we assigned a score ranging from 0 (no item is taken into account) to a maximum of 8 (all elements are taken into account). Then, we brought back the number to a value ranging from 0 to 1 by dividing the total by 8.

    • -

      The relationship with the employees: as we used 8 items for customers, we measured this variable in the same way; a score ranging from 0 (no item is taken into account) to a maximum of 8 (all elements are taken into account). Then, we brought back the number to a value ranging from 0 to 1 by dividing the total by 8.

    • -

      The relationship with the country and community: each axis took 3 items to check the social responsibility relationship, community and territory (with the same method of calculation).

    • -

      Finally, to calculate social performance, the sum of the four axes is divided by four.

  • Environmental performance: is calculated on the basis of 6 items which are defined to measure the firms’ environmental performance. For each firm, a score ranging from 0 (no item is taken into account) to a maximum of 6 (all items are considered). Then, we brought back the number to a value ranging from 0 to 1 by dividing the total by 6.

4.3.2Measurement of independent variable

Here, we talk about the measurement of innovation strategy.

4.3.2.1Innovation strategy (investment in research and development (R&D))

We use the research and development (R&D) intensity as a proxy for firm innovation strategy. As Francis and Smith (1995), Cho (1998), Abdullah, Weiyu, and Vivek (2002), Azouzi and Jarboui (2012), and Hamza and Jarboui (2012), is the ratio between R&D expense and total sales. This measurement is used also by Sumeonidis (1996), Klein and Rosenberg (1986), Gellatly and Peters (1999), Miller (2006) and Ghesbrough, Vanhaverbeke, and West (2006).

4.3.3Measurement of the control variables

In our model, we included four control variables which explain the level of business performance. These variables are proxies of the firm size, debt, age and industry.

4.3.3.1Debt

Hovakimian, Hovakimian, and Tehranian (2004) utilized the total debt ratio, but Myers (2001) used the long-term average debt ratio. Nevertheless, ION measured this variable by using the financial leverage which resides in the total debt divided by the total assets. This measurement is also used by Kochhar and David (1996), Barker and Mueller (2002), Lee and O’Neil (2003), Koh (2003), Demaria and Dufour (2007), Jarboui and Olivero (2008), Ben Kraiem (2008), and Sahut and Gharbi (2008).

4.3.3.2Size

According to Hovakimian et al. (2004) and Dufour and Molay (2010), the size of the firm affects its financial policy. Indeed, larger companies have higher performance and are more investment in research and development than small and medium sized ones (Booth, Aivazian, Demirguc-Kunt, and Maksimovic, 2001). The company size, in fact, is calculated by several methods; namely, the log total assets, the workforce and turnover. According to Bahagat and Black (2001), Durnev and Kim (2003), Andres, Azofra, and López (2005), and Hergli et al. (2007), the size is measured as follows: “log (sales)”. Others, like Brown and Caylor (2004), Ben Cheikh and Zarai (2008), Bauer, Frijns, Otten, and Tourani-Rad (2008), and Adjaoud, Zeghal, and Andaleeb (2007) used the value “log (the total assets)”.

We used the (Ln (CA)) as a size-measurement in this research. It is identified by the logarithm of the group turnover. This same measurement is used in several studies such as Bujadi and Richardson (1997), Barker and Mueller (2002) and Chen et al. (2008).

4.3.3.3Age

The company age has a very significant effect on performance. It is expressed by the logarithm of the number of working years (Brown & Caylor, 2004; Ben Cheikh & Zarai, 2008).

4.4Questionnaire validation

Our objective is to test the validity of 22 items about social performance and 6 items about environmental performance. The internal consistency validity test of our questionnaire is achieved with Gronbach alpha (a measurement of the internal consistency between the different items of measurement (between social performance, and environmental performance) equals (α=0.623).

The internal consistency between the 22 items of social performance is very important, it equals 0, 781. For the 6 items of environmental performance, it is less important as it equals 0, 350. Thus, one can say that the scale generated for the measurement of the various items is reliable and includes the aspects of the theory. The Principal Component Analysis suggests a structure of 4 factors representing 95.138% of the total variance for the factors of social performance. For environmental performance, we have three factors representing 73.838% of the total variance. Thus, the index of Kaieser-Mayer-Olkin (KMO), which reflects the adequacy of the factor solution, is very important for the 3 variables. The factor solution of social performance is summarized in the following table: Table 2Table 3.

Table 2.

Social performance factors (22 items).

Items  Factor1 motivation of employees
(35,665%
VE) 
Factor2
loyalty, encouragement and satisfaction of clients:
(35,379%
VE) 
Factor3
relation with community
(13,16%
VE)
 
Factor4 F4: relation with the country
(10,934%
VE) 
1-We put child-care centers  ,986       
2-A 3-month-high-production bonus for most employees  ,986       
3-Ensure transport for employees  ,937       
4-Ensure trainings for my employees  ,919       
5-Ensure the medical coverage for all my employees  ,905       
6-a canteen is set up in my business  ,847       
7-the provision of an infirmary with a doctor available on-site during all work-hours  ,964       
8-They have the right to strike  ,945       
9-Providing quality service    ,929     
10-ensure that the product sold is in line with what has been previously negotiated    ,914     
11-free delivery    ,876     
12-ensure a high quality of commercial relations between the customer and the company's interlocutors    ,982     
13-ensure that the sales process is optimal and effective    ,940     
14-offert additionnel Product    ,939     
15-Minimizing waiting time    ,934     
16-Proliferation of the products offered    ,985     
17-I contribute to the financing of the infrastructure in my area      ,985   
18-I participate in the cultural activities within my business      ,907   
19-I assure the funding of schools and mosques in my city      ,862   
20-I participate in local associations        ,789 
21-I suggest trainings for employees of companies in difficulty        ,703 
22-I help small and new businesses to get them on their feet in the Tunisian market        ,804 

Source: the factor solution by the SPSS20 software.

Table 3.

Environmental performance factors (6 items).

Items  Factor1:
Environnement Protection
(28,821%VE) 
Factor2:
Energy saving
(28,148%VE) 
Factor3:
recycling (16,869%VE) 
1-I choose energy sources that protect the environment  ,929     
2-I choose low-cost means of transport  ,928     
3-I apply the highest standards of environmental standards    ,919   
4-I make an energy saving plan    ,916   
5-I recycle my products      ,899 
6-The raw materials chosen by our company limit the depletion of natural resources      ,446 

Source: the factor solution by the SPSS20 software.

4.5Empirical validation of the research hypotheses

We will try to verify the effect of innovation companies on the performance of the firms:

4.5.1Descriptive analysis

This part is dedicated to the presentation of the descriptive statistics related to: the average financial performance, innovation strategy, social performance, environmental performance, the company size, the company age and the debts Table 4.

Table 4.

Descriptive analysis.

Variables  Minimum  Maximum  Moyenne  Ecart type 
FP  −,50  ,75  ,4534  ,19847 
SP  ,06  ,94  ,5145  ,23796 
EP  ,25  ,75  ,4658  ,17902 
R&D  ,09  ,99  ,5803  ,21715 
AGE  ,3  1,91  1,4920  ,31502 
Size  ,04  13,25  2,4545  1,68914 
Debt  ,02  1,00  ,4891  ,25370 

R&D: research and development; SP: social performance; FP: financial performance; EP: environmental performance.

Source: analyses by Eviews7 software.

4.5.2Verification of the absence of multicollinearity between the independents variables

Our goal is to verify the absence of multicollinearity between the explanatory variables, our first case is when our dependent variable is financial performance, our second case is if Y1 is equal to social performance and finally when the variable explained is equal to the environmental performance:

As the correlation matrix of Pearson (all correlation coefficients are below 0.7 which corresponds to the restricted from which it usually begins to have serious multicollinearity problems. In addition, from Table 5, Table 6 and Table 7, we can see that all our explanatory variables have a value of FIV which is much lower than 2. These results allow us to conclude that we do not have a serious problem of multicollinearity.

Table 5.

Pearson correlation (relation diversification-FP).

Variables  VIF  FP  R&D  AGE  Size  Debt 
FP           
R&D  1,951  ,158*       
AGE  1,919  −,037  −,026     
Size  1,017  −,046  ,070  ,687**   
Debt  1,016  −,058  ,006  −,055  −,123 

Source: analyses by Eviews7 software.

*

:signification 5%

**

:siginification 1%

Table 6.

Pearson correlation (relation R&D-SP).

variables  VIF  SP  DIV  AGE  Size  Debt 
SP           
R&D  1,871  ,059*       
AGE  1,979  −,267**  −,024     
Size  1,457  −,329**  ,027  ,687**   
Debt  1,236  −,158  −,022  −,123  −,055 

Source: analyses by Eviews7 software.

*

: signification 5%

**

:siginification 1%

Table 7.

Pearson correlation (relation R&D-EP).

variables  VIF  EP  R&D  AGE  Size  Debt 
EP           
R&D  1,005  −,070*       
AGE  1,929  −,038  −,024     
Size  1,906  −,068  ,027  ,687**   
Debt  1,018  −,132  −,022  −,123  −,055 

Source: analyses by Eviews7 software.

*

: signification 5%

**

:signification 1%

4.5.3Tests of specification, heteroscedasticity and autocorrelation

Our study focuses on a sample of 96 Tunisian companies examined over a whole year. This leads to the estimation of time series rather than panel data. The estimation is done by Least Squared. In other words, we tested heteroscedasticity by performing the Breusch -Pagan test. In the context of a heteroscedasticity test, the null hypothesis is homoscedasticity and it will be the case when all the coefficients of regression of the squared residues are zero. To perform this test, we regressed the squared residues resulting from the fixed-effect model with the explanatory variables of the different regression equations. According to this test, the statistics F of Fisher is not significant for all equations. This leads to the rejection of the alternative hypothesis and the acceptance of the null hypothesis (they are all homogeneous and we do not have a problem of heteroscedasticity).

5Results and interpretation

The models to be tested are:

The results of the linear regression are presented in Table 8:

Table 8.

(Linear regression of three models with MCG method by Eviews7).

Independent variable  Model 1
Coefficients
(t-statistic) 
Model 2
Coefficients
(t-statistic) 
Model 3
Coefficients
(t-statistic) 
0,284015 (3,741572)*  0,311337 (4,082823)*  0,82480202 (4,278129)* 
R&D  0,089374 (4,99298)*  0,069123 (5,159616)*  −0,309379 (−4,020312)* 
Size  0,005082 (5,182704)*  −0,007102 (−3,25431)*  0,075289 (3,065785)*** 
Age  0,084986 (2,859785)*  0,008228 (0,180365)*  −0,113238 (−2,97548)*** 
Debt  −0,003042 (−2,90905)*  0,000640 (3,606567)*  −0,000428 (−3,76081)*** 
Rsquared  0,286119  0,17634  0,165134 
Log likelihood  29,72834  30,00778  59,10402 
F-statistic  15,202487  17,403888  36,567616 
Prob>,0000  ,0000  0,0000 

Own elaboration.

The regressions imply that R&D has a positive and significant impact of about 10% on the financial performance of the company. This concurs with the studies of Erickson and Jacobson (1992) who conclude that the R&D of a firm is positively related to financial performance. When Berroni et al. (2005) studied a sample of Spanish firms, they found that the effect of a significant level of investment in R&D (the amount is higher than the annual average for the sector) on the performance of the company is negative but insignificant if the control block holders are banks.

Thus, we assume the positive impact of the innovation strategy on the corporate social performance (H2). Our study leads to satisfactory results since we find a positive and significant relationship at about 5% and 10% between research and development and customers, research and development and employees, and a positive significance between research and development and community. The same results are found by Oltra and Saint Jean (2011) who show that the integration of innovation intervenes after the customers’ request; similarly, the work of Also, the work of Gallaud et al. (2012) deal with the relationship between innovation, employees and community. Thus, innovation enables the company to achieve not only financial performance but also social performance. In other words, the firm can satisfy and encourage, firstly and essentially, its customers; then, it strengthens its relationship with the employees; eventually, it can realize a regional satisfaction since it will help the region by financing the infrastructure. When we speak about the relationship between innovation and environmental performance, the validation of our hypothesis (H3) is used to identify the existence of a relationship (positive or negative) between research and development and environmental performance.

Our research drives us to conclude that research and development has a significantly negative effect of about 10% on environmental performance. This means that the Tunisian companies do not take the environment into consideration during their research. They seek only their financial and social performance. This result is in accordance with the studies of Oltra (2008) who believes that the effect of innovation on environmental performance does not rest only on research and development, but also on technology. In this, he means that the existence of new technologies would drive the firms to innovate and develop new environmental approaches.

In contrast, our results are inconsistent with the studies of Kemp et al. (1994) who state that “the techniques, process and products eliminate or reduce the emission of pollutants and/or the use of raw materials, natural resources and energy”. When we talk about the control variable, we notice that size is not always as significant as the variables of age and indebtedness. So, we can say that performance is not related to the size of the company and, especially, the social and environmental performance. For instance, the Tunisian indebted companies have a positive financial, social and environmental performance.

6Conclusion

Unlike many management topics in which we can perceive a rise of popularity and a decline of interest, the selection and implementation of the performance indicators have been an increasingly important matter in recent years. In the 1990's, the companies sought to improve their performance by using new strategies. The article, therefore, is aimed to update the theoretical research dealing with the relationship between innovation and performance by studying a sample of Tunisian companies. The statistical tests clearly denote the existence of a significantly positive relationship between research and development and financial performance. Accordingly, this helps us deduce that the Tunisian companies have to improve their financial performance through new technologies and fresh ideas. Their vision must also be geared to a sound relationship between innovation and their customers, innovation and employees and communities. Thus, they build a strong relationship between innovation and their social performance. Throughout this study, we could come up with the fact that there is a positively significant relationship between the two concepts: research and development and social performance. When we point to environmental performance, we find that this variable is negatively significant. This means that despite the strong and positive relationship between the innovation strategy and the financial and social performance, the Tunisian companies turn a blind eye to the environment and its expectations; as such, the reduction of depleted natural sources.

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Rating agency which estimates large companies quoted Americans (together of the indication (index) Russel 3000) according to a series of criteria of exclusion (example: alcohol, tobaccos…) and of criteria of evaluation (Human resources, environment, sponsorship, customers…).

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