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Empirical analysis of isolated and complementarity effect of (non-)organizational external stakeholders on green product innovation

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Master thesis MSc BA – Strategic Innovation Management

Niels Nonnekens - S3141861 niels.nonnekens@gmail.com

University of Groningen Faculty of Economics and Business

Supervisor: prof. dr. J. Surroca Co-assessor: prof. dr. J.D.R. Oehmichen

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June 2018

Wordcount: 12,436

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ABSTRACT

This study investigate the underexplored field of the driving forces for firms to engage in green product innovation. Prior research mainly focused on the effect of internal organizational stakeholders in relation to green product innovation. This study focuses on (non-)organizational external stakeholders and its effect on green product innovation. Therefore this study increase the understanding what effect firms orientation on isolated (non-)organizational external stakeholder has for green product innovation. In addition this study investigate complementary effects between (non-)organizational external stakeholders. This empirical analysis based on an original database including 325 firms of the United States presents firms which only orientate on customers has a positive effect on green product innovation. Contrary, firms which only orientate on shareholders or institutional factors do not have an effect on green product innovation. Moreover, the analysis presents there is no complementarity effect between customers, shareholders or institutional factors. Interestingly, there is substitutability effect for firms which orientate towards (1) customers and shareholders (2) shareholders and institutional factors and (3) customers, shareholders and institutional factors.

Keywords: (non-)organizational external stakeholder; customer orientation; shareholder orientation;

institutional orientation; green product innovation; complementarity effect; substitutability effect

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TABLE OF CONTENT

1. INTRODUCTION ... 4

2. LITERATURE REVIEW ... 6

2.1. External stakeholders and green product innovation ... 6

2.2. Organizational external stakeholders and green product innovation ... 7

2.3. Non-organizational external stakeholder and green product innovation ... 8

2.4. Complementarity effects and green product innovation ... 9

3. METHODOLOGY ... 11

3.1. Data collection ... 11

3.2. Research setting ... 11

3.3. Data sources ... 12

3.4. Measurements variables ... 12

3.5. Analysis technique ... 15

4. RESULTS ... 17

4.1. Descriptive statistics and correlations ... 17

4.2. Results regressions ... 20

4.3. Hypotheses testing ... 22

5. DISCUSSION ... 23

5.1. Theoretical implications ... 23

5.2. Managerial implications ... 26

5.3. Limitations and future research ... 26

6. CONCLUSION ... 27

7. ACKNOWLEDGEMENT ... 28

8. BIBILIOGRAPHY ... 28

9. APPENDIX ... 34

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1. INTRODUCTION

“Climate change is no longer some far-off problem: it is happing here, it is happening now.”

B. Obama (September 2015)

In the last decades climate change caused by firms and human behaviour affects the oceans, ice, atmosphere and land in important ways (Change, 2016; Denchak, 2016). Scientists acknowledge that firms play an important role in the environmental performance outcome (Porter & Van der Linde, 1995, Hart, 1995). Herewith firms are nowadays aware of the environmental impact it has and reconsider their business operation, production and product portfolio in order to look for solutions to become greener (Lee & Min, 2015; Porter & Reinhardt, 2007). In the past many firms thought investing in green innovation was an unnecessary expense and could hamper its development and growth (Porter & Van der Linde, 1995) whereas more recent studies showed green innovation could provide firms a first mover advantage (Chen, 2008).

One of the most widely used definitions of green innovation is “the improvement of products or processes about energy-saving, pollution prevention, waste recycling, green product designs, and corporate environmental management” (Chang, 2011, p.363). This definition clearly shows the distinction most scholars make regarding green innovation: (1) green process innovation and (2) green product innovation (Wong, 2013, Chang, 2011, Lee & Min, 2011). In the literature green process innovation has received increasing attention the last years (Chang & Chen, 2004; Ziegler & Nogareda, 2009; Yang & Chen, 2011) whereas green product innovation is nowadays an important research stream for scholars (Ar, 2002; Guoyou et al., 2013).

In order to facilitate the adoption of green process innovation and green product innovation, firms need to consider important drivers (Routroy, 2009). Numerous studies attempted to identify the drivers why firms participate in green innovation. Most scholars focus on the internal and external drivers which force firms to innovate in a green way (Cheng et al., 2014). Internal drivers addresses aspects such as employees and the organizational culture the firm is embedded in (Porter-O’Grady &

Malloch, 2010) and the external drivers addresses aspects as shareholders and customers (Klewitz et al.,

2012). Recent studies acknowledge firms incorporate green innovation in its operations because of

customer pressure (Thögersen et al., 2012) or governmental regulations (Kammerer, 2009). The results

of these studies provide some evidence of the effect of (non-)organizational external stakeholders on the

adoption of green innovation practices (Lin & Ho, 2010; Cordano et al., 2010). Nonetheless the results

of the effect of (non-)organizational external stakeholders as drivers are still inclusive and sometimes

contradicting. Some scholars argue (non-)organizational external stakeholders (e.g. customers or

shareholders) are drivers of green processes innovation and green product innovation because of the

awareness of environmental pollution (Huang et al., 2014; Sharma et al., 2010) whereas other scholars

argue (non-)organizational external stakeholders are not drivers of green process innovation or green

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product innovation because of the higher investments needed (Noci & Verganti, 1999) and green products are more expensive in comparison with the conventual substitutes (Rehfeld et al., 2017).

As previously elaborated, scholars already investigated drivers for firms to participate in green product innovation. Most scholars focus on the internal stakeholders (i.e. employees, managers) and its effect on green product innovation (Chang, 2011; Weng et al., 2015). Less scholars focus on the external stakeholders (i.e. customers, shareholders) and its effect on green product innovation. In addition the results of the studies which focused on external stakeholders are sometimes inclusive and contradicting (Huang et al., 2014; Sharma et al., 2010; Rehfeld et al., 2017). Moreover, to the best of my knowledge, no study investigated complementarity effects between external stakeholders for green product innovation (Guoyou et al., 2013).

Therefore the purpose of this study is two folded. Firstly to provide more understanding on which (non-)organizational external stakeholders a firm needs to orientate to effectively engage in green

product innovation. Secondly to investigate the possibility of complementarity effect between (non-)organizational external stakeholders. This study aims to address this literature gap by empirically

assessing the drivers of green product innovation and the complementarity effect between the drivers.

Based on this literature gap I have formulated a research question:

“What isolated and complementarity effect do (non-)organizational external stakeholders have on green product innovation?”

Although green product innovation is an increasing research stream, scholars still see this as a relative new area to investigate (e.g. Guoyou et al., 2013). Therefore, I conducted a theory testing approach and empirically analysed data from ASSET4, Orbis and WalletHub of firms which are located in the United

States (US). In order to answer the research question, I analysed the isolated effect of (non-)organizational external stakeholders and the interaction effect between (non-)organizational

external stakeholders to investigate complementarity. In line with prior research, the results indicate firms which only orientate towards customers positively affects the engagement in green product innovation. The relationship between firms which only orientate towards shareholders or institutional factors is not found to have an effect on green product innovation. Moreover, the main contribution of this study is to investigate complementarity effect between (non-)organizational external stakeholders.

This study presents there is no complementarity effect between customers, shareholders and / or

institutional factors on green product innovation. Interestingly, the results show a substitutability effect

on green product innovation for firms which orientate on (1) customers and shareholders only (2)

shareholders and institutional factors only and (3) customers, shareholders and institutional factors.

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2. LITERATURE REVIEW

In this chapter previous literature is reviewed and has been used in order to construct four hypotheses.

Firstly this chapter explains the relationship between external stakeholders and green product innovation. Hereafter the effect of organizational external stakeholders and non-organizational external stakeholders have been investigated which resulted into four hypotheses. Hypotheses 1, 2 and 3 investigate the isolated effects of (non-)organizational stakeholders on green product innovation whereas the fourth hypothesis is separated into four sub-hypotheses which investigate complementarity/substitutability effect (H4a-H4d). In addition a conceptual model is made which visually show the relationships between the dependent, independent and control variables.

2.1. External stakeholders and green product innovation

Managers of firms continually encounter demands from different stakeholder groups to devote resources in green innovation practices (McWilliams & Siegel, 2001). One of the first scholars who investigated stakeholders is Freeman and Reed (1983). He defined the wide sense of stakeholders as “group or individual who can affect or is affected by achievement of the organization’s objective” (p.91). In addition Freeman and Reed (1983) made a distinction between internal and external stakeholders.

Internal stakeholders are stakeholder which directly contribute to the product or service such as employees. External stakeholders are stakeholders which have an indirect effect on the product or service. However the firm is dependent on external stakeholders for continuous survival. Therefore the external environment of the firm needs to be managed in order to assure revenues, profits, returns for shareholders and environmental, societal impacts for other stakeholders (Berman, 1999; Freeman &

Reed, 1983; Phillips et al., 2003). Freeman and Reed (1983) defined four (non-)organizational external stakeholders as part of the environment: customers, shareholders, suppliers and government. Some other scholars argue society is an (external) stakeholder as well however the definition of ‘society’ is not defined in a scientific context which makes it difficult to measure. The society is mostly seen as the general environment stakeholders are operating in (Phillips et al., 2003).

Existing literature argues external stakeholders encourage firms to innovate in green products

(Weng et al., 2015). More specifically organizational external stakeholders (i.e. customers,

shareholders) expect firms to be aware and implement the newest trends regarding green products. On

the other hand non-organizational external stakeholders (i.e. government) expect firms to comply to the

existing governmental regulations, for example the changing regulations which force firms to decrease

the carbon footprint of its product (Weng et al., 2015; Bocken & Allwood, 2012). This increasing

environmental awareness amongst both (non-)organizational external stakeholders resulted in the fact

that firms need to orientate more on the changing needs of each stakeholder and innovate in green

products.

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2.2. Organizational external stakeholders and green product innovation Customer orientation and green product innovation

Most scholars define customer orientation as “the set of beliefs that puts the customer’s interest first, in order to develop long-term profitability” (Despandé et al., 1993, p.27). In the current literature little empirical attention has been given to the fact that customers are drivers of green product innovation (Deshpandé et al., 1993). However some scholars argue customers are nowadays more aware of the environmental issues and affect firms behaviour towards green product innovation effectively (Huang et al., 2014; Sharma et al., 2010). Therefore firms need to adapt to the changed customer needs (innovate more in green products) since customers have the power the favour, reject or criticize firms which fail to maintain the environmental balance in its product portfolio (Huang et al, 2014). Herewith small- medium firms are incorporating this external force of customers and orientate more on them by innovating in distinctive environmental friendly products (Holt et al., 2001).

Interestingly, research has proven firms which orientate towards customers results in higher levels of green (product) innovation practices (Pekovic et al., 2016). The main reason for this, firms identify customer satisfaction as one of the most important drivers of the implementation of green (product) innovation practices in its business operation. Herewith customer satisfaction results from the positive attitude, feeling or responses customers have towards businesses with strong corporate social responsibility (e.g. green products) (Handelman & Arnold, 1999). Moreover firms which do not environmentally innovate its product portfolio and still sell the less environmental-friendly conventual substitute results in a refuse of customers to buy these products (Weng et al., 2015).

Based on these arguments, I argue firms which orientate on customers will have a positive effect on the engagement in green product innovation. The hypothesis is formulated as:

H1: Isolated customer orientation exerts a positive effect on green product innovation

Shareholder orientation and green product innovation

There is one particular group which the firm’s goal is the advancement of interests: shareholders (Berman et al., 1999). Nowadays shareholders are paying more attention to the environmental and sustainability aspect (Gadenne et al., 2008). Because of the environmental awareness of shareholders they are increasingly interested to participate in innovating in green products (Rose, 2013). However the individual financial rewards the shareholders receive promotes the success of the green product innovation of a firm (Fellnhofer, 2017). Thus, shareholders are interested in innovating in green products in case financial rewards are still of an acceptable level. This argument is in line with a research of Kelm et al. (1995) where these scholars found in order to satisfy shareholders, a firm needs to orientate on two aspects: environmental risk management (e.g. innovate in green products) and economic opportunities.

Based on this assumption that economic opportunities (i.e. financial rewards) are important for

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shareholders, research has proven firms which innovate in green products results in superior financial performance (Schaltegger & Figge, 1997; Kiernan, 2001).

In addition, firms which have ISO 14001 certification results in a positive effect on the share price of shareholders (Jacobs et al., 2010). Herewith the ISO 14001 refers to an international accepted standard of environmental management systems (González-Benito & González-Benito, 2005). Existing literature argues shareholders are more willing to invest in firms that obtained 14001 certification which lead to an increase of green product innovation (Chen et al., 2006). In addition the green products that obtained the ISO 14001 provide customers an environmental assurance which in turn delivers higher returns for the firm and its shareholders (Stein, 2009).

Based on these arguments presented above, I expect firms which orientate on shareholders will have a positive effect on the engagement in green product innovation. The hypothesis is formulated as:

H2: Isolated shareholder orientation exerts a positive effect on green product innovation

2.3.Non-organizational external stakeholder and green product innovation Institutional factors and green product innovation

Institutional factors are factors outside of a firm which may enable and stimulate firms to participate in green product innovation. Scholars investigated the institutional factors in many different ways, for example on the aspect of political (regulations), socio-cultural, economic development or well-being of a country (Rupasingha et al., 2002; Kirby, 1988). These factors affect firms behaviour by shaping the external environment it is operating in and could differ between states and industries (Kammerer, 2009).

According to Rugman and Verbeke (1998) the negative environmental impact of products the firms sold have led to strengthen the environmental regulations. These environmental regulations developed by institutions force firms to reduce the environmental impact products have during the entire life cycle (Sharma et al., 2010; Darnall, 2009). In case firms fail to meet the environmental regulations it could lead to fines or lawsuits (Sarkis et al., 2010). Therefore firms need to respond on this by innovating in green products. Existing literature provide evidence that environmental regulations are an important determinant for firms to incorporate green product innovation (Kammerer, 2009; Rehfeld et al, 2007). This innovation activity regarding green products triggered by regulations mainly focus on (1) less use of material (2) lower use of energy consumption by the product and (3) pollution reduction of the product (Dangelico & Pujari, 2010).

On the other hand, research has proven that the effect of environmental regulations on green

product innovation varies across industries (Kammerer, 2009). To illustrate, regulatory stringency has a

positive effect in the pharmaceutical and chemical industry (Seijas-Nogareda, 2007), whereas it has no

effect in the beverages and food industry (Engels, 2007). The main assumption is industry characteristics

influence the effect of regulations on the adoption of green product innovation for firms.

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Based on these arguments presented, I expect firms which orientate on institutional factors will have a positive effect on the engagement in green product innovation. The hypothesis is formulated as:

H3: Isolated institutional orientation exerts a positive effect on green product innovation

2.4. Complementarity effects and green product innovation

Firstly complementarity effects means the potential that two or more (non-)organizational external stakeholders mutually positively reinforce each other (Schmidt, 2003).

Firms need to establish relationships with its different stakeholders in order to achieve higher levels of trust and loyalty (Hillman & Keim, 2001). These relationships with primary stakeholders could be seen as a hard to imitate and valuable resource. From resource-based perspective higher levels of trust and loyalty results in a long term competitive advantage (Barney, 1991). In order to create a competitive advantage it would be more effective for firms to simultaneously orientate across its relevant stakeholders (Garcia-Castro & Francoeur, 2016). In addition these cumulative effect of complementary investments facilitates firms to invest in the development of superior green products.

From the theoretical foundation of complementarity it is shown that a combination of a set of investments and practices results in higher performance than individually done (Whittington et al., 1999). Thus, orienting on one particular (non-)organizational external stakeholder is less beneficial for the level of green product innovation than combining the orientation on a set of (non-)organizational external stakeholders. However what is important to take into account for the existence of complementarity effect is the subcultural overlap between the stakeholders (Gyrd-Jones & Kornum, 2013). The existing literature shows that complementarity is enhanced when cultural values between the stakeholders are incorporated in the (direct interaction) processes (Broude, 2007; Gyrd-Jones &

Kornum, 2013). Overall I expect orientating on multiple (non-)organizational external stakeholders generate complementarity effect. The sub-hypotheses are formulated as followed:

H4a: The interaction between customer orientation and shareholder orientation generate complementarity effect on green product innovation

H4b: The interaction between customer orientation and institutional orientation generate complementarity effect on green product innovation

H4c: The interaction between shareholder orientation and institutional orientation generate complementarity effect on green product innovation

H4d: The interaction between customer orientation, shareholder orientation and institutional

orientation generate complementarity effect on green product innovation

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Interestingly, existing literature also argue the possibility of substitutability effect between (non-)organizational external stakeholders (Garcia-Castro & Francoeur, 2016; McWilliams & Siegel, 2000). Substitutability effect is the opposite of complementarity effect which lead to a trade-off amongst the (non-)organizational external stakeholders. Previous studies presented firms try to build synergies between the (non-)organizational external stakeholders otherwise it will prioritize in order to obtain higher levels of green product innovation (Henriques & Sadorsky, 1999). Nonetheless firms have difficulties building synergies because of the divergent needs of (non-)organizational external stakeholders that needs to be satisfied (Bridoux & Stoelhoerst, 2014; Gyrd-Jones & Kornum, 2013).

2.5. Conceptual framework

This study focus on the (complementarity) effect (non-)organizational external stakeholders have on

green product innovation. Although previous studies investigated isolated effects of (non-)organizational stakeholders and green product innovation, to the best of my knowledge, no

research investigated the complementarity effect between (non-)organizational external stakeholders.

Therefore this study provide more understanding of the effect of three (non-)organizational external stakeholder orientations on green product innovation. In addition this study investigate complementarity effects for firms which orientate on customers, shareholders and / or institutional factors. In figure 1 the conceptual framework is presented. Below the conceptual framework an explanation is provided what

‘complementarity effect’ means.

Figure 1: conceptual framework

In this conceptual model ‘complementarity effect’ means:

H4a: ‘customer orientation & shareholder orientation’

H4b: ‘customer orientation & institutional orientation’

H4c: ‘shareholder orientation & institutional orientation’

H4d: ‘customer orientation & shareholder orientation & institutional orientation’

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3. METHODOLOGY

In this section the methodology used is described. Firstly the data collection, research setting and data sources are described. Hereafter the measurement of the dependent variable, independent variables and control variables are described. Finally an explanation of the analysis technique to test the hypotheses is described.

3.1. Data collection

In order to construct a database to empirically test the four hypotheses there are six steps. Firstly, in ASSET4 a list will be extracted of US firms (LA4CTYUS) which have data available. A total number of 2404 US firms are in ASSET4. Hereafter it is investigated which of the firms have information on the pillars of environment and economic performance in 2015. This resulted in a total number of 1469 US firms. From ASSET4 an ISIN code will be provided which needs to be transformed into a BvD code.

This BvD code can be used in Orbis to investigate for patent information. These are meant to solely focus on US firms with innovation activity. These patents have to be (1) published between 01/01/2015 and 31/12/2015, (2) needs to be granted, (3) needs to be cited and (4) needs to be linked to a Bureau van Dijk (BvD) ID number. These requirements provide high class patents. In total a number of 460 US firms published patents which fulfilled these criteria. Additionally the data of state scores retrieved from WalletHub are implemented. Hereafter data on the aspects of firm size, free cash flow, R&D intensity, firm age and industry must be available in Orbis. Firms which did not have data available were removed from the list. This resulted in a total number of 325 US firms. Lastly it has to be determined if the patent can be classified as green product innovation. Patent information of US firms are incorporated in the system called Cooperative Patent Classification (CPC). In this system green innovation is identified by using the CPC Y02 patent class. Hereafter the title and / or abstract have been checked for green product innovation. These 325 US firms had a total number of 1034 green product innovations in 2015. In order to limit the extreme values in the sample, a winsorization in STATA is done for 1% of the extreme values.

3.2. Research setting

In order to conduct this research a large dataset ( >100 firms) with information on the aspects of customer

orientation, shareholder orientation, institutional orientation, green product innovation and financial

information of all the firms need to be available. Therefore this research make use of a theory testing

approach and empirically test the hypotheses by using information of 325 US firms. In this study is

chosen to focus on US firms because in 2017 46% of all the granted patents were accounted to US firms

(Stebbins, 2018).

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In order to conduct this research a theory testing approach will be used which focus on data of a large number (325) of US firms coming from three secondary databases: (1) ASSET4 from Thomson Reuters DataStream, (2) Orbis and (3) WalletHub.

ASSET4. In ASSET4 the data is categorized according 750 different data points and 278 key performance indicators of more than 7000 public listed firms in the world. The results are sorted in a framework of 18 categories within four pillars (see appendix 1). These four pillars are: corporate governance, economic, environmental and social. The reason for choosing ASSET4 as a data source is it provide data on customer orientation, shareholder orientation and environmental practices on firm level. The data in ASSET4 comes from different sources, for example annual reports, media coverage and information the firm itself distribute. Employees of Thomson Reuters analyse all the data and transform these evaluation into the four pillars. These pillars integrate all the included categories into a single overall score. The scores for the indicators, categories, pillars and overall scores are similarly calculated. All the underlying data points for the four pillars and 18 categories are equally weighted and z-scored. Lastly the data points are compared with all the included firms in ASSET4. This results in a standardized and normalized z-score indicator between 0 and 100. For the purpose of this study data will be extracted from two pillars: environment and economic performance. From the economic categories are customer orientation and shareholder orientation included. Additionally environmental scores of each firm is included from ASSET4.

ORBIS. In Orbis is information of 125 million firms available. This information consists of a wide range of areas. Information of patents is available on the aspects: granted or non-granted, cited or non-cited, when the publication date of the patent is and the CPC (Cooperative Patent Classification) category Y02 (green patents). In addition it is possible in Orbis to investigate specific patents of firms by using the BvD-code (Bureau van Dijk code). Furthermore in Orbis financial data of firms can be found. To illustrate, financial data of firms is available on the aspects of firm size, R&D intensity, firms sales.

WALLETHUB. Lastly data is retrieved from the consultancy firm WalletHub. WalletHub investigated all the states in the US on 23 key metrics regarding the environmental aspects and compared the states with each other (see appendix 2). Hereafter an environmental score is developed out of the 23 different key metrics for each state in the US.

3.4. Measurements variables Dependent variable

GREEN PRODUCT INNOVATION. One of the most common measures of the innovation output of a

firm is the use of patent data (Walker et al., 2002). Nonetheless if a patent can be categorized as a green

innovation depends on the effects this patent has on environment.. All the patents are incorporated in

the system called ‘cooperative patent classification’ (CPC) and should have information on the

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environmental benefits it has and be categorized in a specific patent class. In this system green innovation is identified by using the CPC Y02 patent class. This patent class is referred as Y02 which focus on “technologies or applications for mitigation or adaption against climate change”. Hereafter green product innovation is identified by analysing the title and / or abstract of each patent. The title and / or abstract of each patent will be checked for the definition of green product innovation derived from Tang et al. (2017): “A new product, service or method that inflicts no negative impact on the environment or less than the current or competing product.” (p.40)

Independent variables

CUSTOMER ORIENTATION. Customer orientation is retrieved by incorporating 18 different indicator score points (ASSET4 code: ECCL). The category of customer orientation in ASSET4 is described as

“The company's management commitment and effectiveness towards generating sustainable and long- term revenue growth. It reflects a company's capacity to grow, while maintaining a loyal client base through satisfaction programmes and avoiding anti-competitive behaviours and price fixing”. Customer orientation is as well measured according a normalized z-score indicator value from ASSET4.

Additionally a dummy variable of the normalized z-score for customer orientation is made. The dummy variable of customer orientation is 1 if the firm orientate on customers (equal or above the sample mean of 51.939), and 0 if the firm does not orientate on customers (below the sample mean of 51.939).

INSTITUTIONAL ORIENTATION. Institutional orientation is computed of an industry dummy and a state dummy.

Industry scores are retrieved by the environmental scores (ASSET4 code: ENVSCORE) of all the US firms in ASSET4. Herewith the mean environmental scores of all the US firms (1469) in ASSET4 of a particular industry have been taken to create an industry score. In addition a dummy variable is created for the industry score. The dummy variable of industry is 1 if the firm’s industry score is equal or higher than the sample mean of the industry scores (44.035), and 0 if the firm’s industry score is lower than the sample mean of the industry scores (44.035).

State scores are retrieved from WalletHub. WalletHub investigated the natural environment of the 50 states in the US by using 23 key metrics. These 23 key metrics resulted in three categories of (1) environmental quality, (2) eco-friendly behaviours and (3) climate change contribution (WalletHub, 2018). Finally, WalletHub created an overall environmental score for each US state according to the corresponding weight of each of the 23 key metrics (see appendix 2). The overall environmental score per state is used as state score. In addition a dummy variable is created for the state score. The dummy variable of state is 1 if the firm’s state score is equal or higher than the sample mean (62.433), and 0 if the firm’s state score is lower than the sample mean of the state scores (62.433).

Hereafter an institutional orientation dummy variable is created for each firm. This dummy

variable is computed of the industry dummy and the state dummy. Firms which have for both the

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industry dummy and the state dummy a 1, get a 1 for institutional orientation. Firms which have a 1 for the industry dummy and 0 state dummy, 0 for industry dummy and 1 for state dummy or firms which have a 0 for both industry dummy and state dummy get a 0 for institutional orientation.

SHAREHOLDER ORIENTATION. Shareholder orientation is retrieved by incorporating 22 different indicator score points (ASSET4 code: ECPE). The category shareholder orientation in ASSET4 is described as “The company's management commitment and effectiveness towards generating a high return on investments. It reflects a company's capacity to maintain a loyal shareholder base by generating sustainable returns through a focused and transparent long-term communications strategy with its shareholders”. Shareholder orientation will be measured with a normalized, z-score indicator value provided in ASSET4. Additionally a dummy variable of the normalized z-score for shareholder orientation is made. The dummy variable of shareholder orientation is 1 if the firm orientate on shareholders (equal or above the sample mean of 45.452), and 0 if the firm does not orientate on shareholders (below the sample mean of 45.452).

Control variables

There are five control variables included in this study. The main reason to include these control variables is because it could affect the dependent variable green product innovation and the overall study:

FIRM SIZE. According to a research of Kemp et al. (2003) firm size is influencing the innovation activity and performance of a firm (Hansen, 1996). To illustrate, large firms have more resources which enhance the level of innovation and performance (Tsai, 2001). Additionally large firms are often targeted in a large sense by communities, media and consumers because of environmental complaints (Guoyou et al., 2013). Therefore in this research firm size will be measured by the natural logarithm of the book value of total assets (Vo & Phan; 2013).

FREE CASH FLOW. Previous literature widely investigated innovation activity and used free cash flow as a control variable which measures the availability of slack resources (Brown et al., 2009;

Tan & Peng, 2003). The behavioural theory claims slack resources benefit innovation activity, whereas the agency theory argues slack resources inhibit innovation activity (Lee & Wu, 2016). In this research free cash flow is measured as the cash flow of operations minus capital expenditure (Bloch, 2005).

R&D INTENSITY. In the study of McWilliams and Siegel (2000) R&D investments could lead to environmental friendly process and product innovations. Therefore it is an important control variable which could positively affects the level of green product innovations of firms in this study and will be measured by proportion of R&D expenditure divided by the revenue times 100 (Katila & Ahuja; 2002).

FIRM AGE. According to a study done by Hansen (1992) it is shown both firm age and firm

size are inversely related to the innovation activity of a firm. Herewith it is concluded firm age is a

significant determinants of number of new products produced by firm. In this research firm age will be

incorporated by the date of incorporation minus 2015.

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INDUSTRY. According to a study of Olokoyo (2012) it is concluded the higher the investment in a sector could yield, the better is the performance of the firm. This means the performance of firm depends on the industry it is operating in. In addition industry characteristics influence the stringency of environmental regulations (Kammerer, 2009). In this research the industry is incorporated by 53 industry dummies based on the SIC codes retrieved from Orbis (Vo & Phan, 2013).

3.5. Analysis technique

The analysis is based on the method of Athey and Stern (1998) and Crifo et al. (2016). Therefore seven interactions have been created which is suggested by Crifo et al. (2016). To construct the interactions, the dummy variables of customer orientation, shareholder orientation and institutional orientation are used. In order to investigate isolated and complementarity effect I created seven sub-samples by having the same reference instead of using the whole sample. The same reference in all the sub-samples means firms which do not orientate on any stakeholder. This means having a 0 for the dummy variable customer orientation, 0 for the dummy variable shareholder orientation and 0 for the dummy variable institutional orientation. The seven created interactions are:

- Interaction_1_0 = 1 if a firm orientate on customers only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_2_0 = 1 if a firm orientate on shareholders only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_3_0 = 1 if a firm orientate on institutional factors only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_4_0 = 1 if a firm orientate on customer and shareholder only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_5_0 = 1 if a firm orientate on customer and institutional only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_6_0 = 1 if a firm orientate on shareholder and institutional only; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

- Interaction_7_0 = 1 if a firm orientate on customers, shareholders and institutional; and = 0 if a firm does not orientate on any (non-)organizational external stakeholder

In order to test the formulated hypotheses a negative binominal regression analysis is used. The reason for choosing a negative binominal regression analysis is the fact the dependent variable is count data (number of green product innovations) and negatively skewed. For the regressions the following formula is used:

𝑌 = 𝛼 + 𝛽 𝑋 + 𝛽 𝐶 + 𝛽 𝐶 + 𝛽 𝐶 + 𝛽 𝐶 + 𝛽 𝐶

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16

In this formula 𝑌 represents the dependent variable regarding the number of green product innovations, 𝑋 represents the dummy variable of the seven interaction effects, 𝛽 denotes the regression coefficients, 𝐶 represents the five control variables: (1) firm size, (2) free cash flow, (3) R&D intensity, (4) firm age and (5) industry dummy.

Hypotheses 1, 2 and 3 is to examine the isolated effect of (non-)organizational external stakeholders. This means the effect of (1) customer orientation only (2) shareholder orientation only and (3) institutional orientation only on green product innovation. To test these hypotheses it could best be illustrated by an example. For example to test the effect of customer orientation on green product innovation: 𝑋 = 0 if the firm does not orientate on any stakeholder (so 0 for customer orientation, 0 for shareholder orientation and 0 for institutional orientation) and 𝑋 = 1 if the firm orientate on customers only (so 1 for customer orientation, 0 for shareholder orientation and 0 for institutional orientation).

Hereafter I look at the observed coefficient associated with this interaction. In case the observed coefficient 𝛾 > 0 it means firms which orientate on customers only have a positive effect on green product innovation. In case the observed coefficient 𝛾 < 0 it means firms which orientate on customers only have a negative effect on green product innovation.

In order to test hypothesis 4 of complementarity effect I look at firms which orientate on more than one (non-)organizational external stakeholder. For this study the investigated interactions are (1) customer orientation and shareholder orientation only (2) customer orientation and institutional orientation only (3) shareholder orientation and institutional orientation only and (4) customer orientation, shareholder orientation and institutional orientation. To test the sub-hypotheses it could again best be illustrated by an example. For example Interaction_4_0 presents the interaction between customer orientation and shareholder orientation with 𝛾 the associated coefficient. If comparing 𝛾 with the isolated interaction of customer orientation (Interaction_1_0) with the observed coefficient 𝛾 , and shareholder orientation (Interaction_2_0) with the observed coefficient 𝛾 it can be concluded there is complementarity effect between customer orientation and shareholder orientation in case 𝛾 > 𝛾 + 𝛾

.

On the other hand if 𝛾 < 𝛾 + 𝛾 and 𝛾 > 0 it can be concluded there is substitutability effect.

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17

4. RESULTS

In this section the results of this study are presented. Firstly the descriptive statistics as well as the correlations are described. Hereafter, the results of the regressions are presented whereas at the end of this chapter the hypotheses are tested.

4.1. Descriptive statistics and correlations

Firstly in table 1 the sample statistics are shown. In these sample statistics the mean, standard deviation, minimum and maximum of all variables are presented. Additionally the seven interactions (dummy variables) are shown. It could be seen from the interactions of (non-)organizational external stakeholders most firms are orientating on ‘neither of the three aspects’ (𝑋 = 0.311) or on two (non-)organizational external stakeholders (𝑋 = 0.335). More specifically most firms orientate on ‘customer & shareholders only’ (𝑋 = 0.265).

Furthermore the firms in this sample had approximately 3.2 green product innovations in 2015 with an average of 51.939 of customer orientation and 45.452 shareholder orientation. In addition the average institutional orientation is 0.249 which means nearly 25% of the firms in this sample orientate on institutional factors. The average firms size is 4,016 employees (antilog of 8.2979) whereas the R&D expenditure is 12.59% of the revenue. In terms of the average free cash flow of the firms in this sample is 1,593,232 and the average age of the firms is approximately 38 years.

In table 2 the correlations between the dependent variable, independent variables and control variables are presented. According to Bryman and Cramer (1997) if the correlations between independent variables are 0.80 or higher, multicollinearity could be suspected. As can be seen in table 2, there are no high values of correlations. The correlations of the independent variables falls between 0.084 – 0.661 whereas the correlations of all the variables do not exceed 0.80. This suggests there is no suspect the correlations are exhibiting multicollinearity (Bryman & Cramer, 1997). Nonetheless the correlation between shareholder orientation and customer orientation is high (0.661). Therefore a Variance Inflation Factor (VIF) examination is conducted. Of all the variables firms size shows the highest VIF value of 3.19 (or 1 / VIF = 0.314). In the literature it is argued VIF values below 5 (or 1 / VIF > 0.20) could be used and there is a cut off point for variables with a VIF value higher than 5 (or 1 / VIF < 0.20) (Craney & Surles, 2007). Thus, I have no reason to suspect for multicollinearity.

Furthermore table 2 presents several significant correlations among the variables. Customer

orientation (r = 0.141; p < 0.05), shareholder orientation (r = 0.243; p < 0.01) and institutional

orientation (r = 0.186; p < 0.01) shows a significant and positive correlation with green product

innovation. This indicates high (low) levels of customer orientation, shareholder orientation and

institutional orientation are associated with high (low) levels of green product innovations. Surprisingly,

R&D intensity (r = -0.023; p > 0.10) is not significantly correlated with green product innovation.

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18 Table 1: Variables and descriptive statistics

Variable Description Mean SD Min Max

(Non-)organizational external

stakeholders orientation The firm oriented in 2015 on

Neither of the three stakeholders 0.311 0.46 0 1

One stakeholder 0.249 0.43 0 1

Two stakeholders 0.335 0.47 0 1

All three stakeholders 0.105 0.31 0 1

Interactions

The firm oriented in 2015 on

Neither of the three stakeholders 0.311 0.46 0 1

Customers only 0.108 0.31 0 1

Shareholders only 0.068 0.25 0 1

Institutional only 0.074 0.26 0 1

Both customers & shareholders 0.265 0.44 0 1

Both customers & institutional 0.028 0.16 0 1

Both shareholders & institutional 0.043 0.20 0 1

All three aspects 0.105 0.31 0 1

Descriptive statistics

Green product innovation 3.182 12.437 0 101

Customer orientation 51.939 26.892 4.88 96.2

Shareholder orientation 45.452 32.009 6.62 96.49

Institutional orientation 0.249 0.4332 0 1

Firm size 8.2979 1.6033 5.438 12.486

R&D intensity 12.590 15.619 0.089 85.995

Free cash flow 1,593,232 4,012,736 -466,073 25,670,000

Firm age 38.59 32.935 1 128

Number of observations: 325; SD = standard deviation; Min = minimum; Max = maximum

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19 Table 2: correlations

Variables 1 2 3 4 5 6 7 8

1. Green product innovation 1.000

2. Customer orientation 0.141** 1.000

3. Shareholder orientation 0.243*** 0.661*** 1.000

4. Institutional orientation 0.186*** 0.084 0.154*** 1.000

5. Firm size 0.344*** 0.601*** 0.636*** 0.070 1.000

6. R&D intensity -0.023 -0.207*** -0.270*** -0.028 -0.232*** 1.000

7. Free cashflow 0.415*** 0.288*** 0.318*** -0.048 0.664*** -0.093* 1.000

8. Firm age 0.106* 0.326*** 0.416*** 0.079 0.389*** -0.314*** 0.206*** 1.000

Total number of observations: 325; * p < 0.1, ** p < 0.05, *** p < 0.01

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20 4.2. Results regressions

In table 4 the results of the regressions are presented. Herewith the different models presents the regressions done for the sub-samples. To illustrate, table 4 model 1 presents the regression done for the sub-sample of firms which orientate on customers only is compared to firms which do not orientate on any (non-)organizational external stakeholder. The same is done in model 2 to model 7. Table 3 is a more compact table which only presents the observed coefficients between the (non-)organizational external stakeholders and green product innovation.

What could be seen in table 3 four isolated or interactions of (non-)organizational external stakeholders have a significant and positive effect on green product innovation. The observed coefficient of the isolated dimensions ‘customer only’ (𝛽 = 5.2756; p < 0.01) is the only isolated dimension which is significant and positively effecting green product innovation. In contrast ‘shareholder only’ (𝛽 = 3.4694; p > 0.10) and ‘institutional only’ (𝛽 = 0.2642; p > 0.10) are insignificant.

In addition the observed coefficients when firms orientate on ‘customer & shareholders only’

(𝛽 = 2.0104; p < 0.05) and ‘shareholders & institutional only’ (𝛽 = 2.1987; p < 0.10) are significant and positively effecting green product innovation. Furthermore firms which orientate on ‘customers, shareholders & institutional factors’ is positively effect green product innovation (𝛽 = 1.8180; p < 0.10).

However the result of firms which orientate on ‘customer & institutional only’ (𝛽 = -10.2074; p > 0.10) is insignificant (and negatively affecting green product innovation).

As could be seen, most of the observed coefficients are higher than 0. In the literature it is known if 𝛽 > 1.0 multicollinearity could exists (Jöreskog, 1999). Therefore a VIF examination is done for all the sub-samples which resulted in the highest VIF value of 3.31 (or 1 / VIF = 0.302) for firm size (natural logarithm of total assets) which is acceptable (acceptable if VIF < 5 or 1 / VIF > 0.20) (Craney

& Surles, 2007).

Table 3: Interaction coefficient estimations

Type of interactions Description Sign Coefficients

One orientation

Customers orientation only + 5.2756***

Shareholder orientation only ns 3.4694

Institutional orientation only ns 0.2642

Two orientations

Customer and shareholder only + 2.0104**

Customer and institutional only ns -10.2074

Shareholder and institutional only + 2.1987*

Three orientations

Customer, shareholder and institutional + 1.8180*

The reference is the case where the firm do not orientation on any stakeholder; total number of observations: 325

* indicates significance at 10% level

** indicates significance at 5% level

*** indicates significance at 1% level

ns = not significant

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21 Table 4: Negative binominal regressions

Dependent variable green product innovation

Variables Model

1

Model 2

Model 3

Model 4

Model 5

Model 6

Model 7

Customer orientation only 5.2756***

(1.6514)

Shareholder orientation only 3.4694

(3.2662)

Institutional orientation only 0.2642

(2.1074)

Customer- and shareholder orientation only 2.0104**

(0.9634)

Customer- and institutional orientation only -10.2074

(1.8854)

Shareholder- and institutional orientation only 2.1987*

(1.2972) Customer-, shareholder- and institutional

orientation

1.8180*

(1.0860)

Firm size -0.0128

(0.4586) -3.9594

(1.2207) -2.7169

(1.9194) -0.1292

(0.3799) 0.5097

(1.9725) 0.0183

(0.5175) -0.0339 (0.5093)

R&D intensity -0.1007

(0.0449)

0.1118 (1.4966)

-0.0049 (0.0427)

0.0321*

(0.1928)

0.0820 (2.2934)

-0.0311 (0.0427)

-0.0440 (0.3121)

Free cash flow -0.0000*

(0.0000) 0.0000

(0.0031) 0.0000

(0.0000) 0.0000***

(0.0000) 0.0000

(0.0016) 0.0000

(0.0000) 0.0000*

(0.0000)

Firm age 0.0373

(0.0307) 1.5225

(2.2211) 0.0407

(0.0671) 0.0134**

(0.0062) 0.3591

(2.9866) -0.0307

(0.0254) 0.0296*

(0.0179)

Industry dummies Included Included Included Included Included Included Included

Number of observations 136 123 125 187 110 115 135

Estimated coefficients are reported; * p < 0.1, ** p < 0.05, *** p < 0.01

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22 4.3. Hypotheses testing

In table 3 and table 4 the interactions of the different (non-)organizational external stakeholder orientations on green product innovations are presented. Table 3 show a significant positive interaction for firms which orientate on customer only (𝛽 = 5.2756; p < 0.01) which supports hypothesis 1 (isolated customer orientation exert a positive effect on green product innovation). In contrast, an insignificant (positive) interaction is found for firms which orientate on shareholders only (𝛽 = 3.4694; p > 0.10) or institutional factors only (𝛽 = 0.2642; p > 0.10). Therefore hypothesis 2 and hypothesis 3 are not supported.

In table 5 the observed coefficients and the sum of the isolated observed coefficients are presented. In the methodology is explained complementarity effect exists when the aggregated coefficient is greater than the sum of the isolated coefficient of each dimension (Athey & Stern, 1998).

In table 5 ‘difference coefficient & sum of isolated coefficients’ shows all the calculated coefficients are negative which means all sub-hypotheses of complementarity effect (H4a – H4d) should be rejected.

Importantly to take into account is the fact that the observed coefficients of shareholder orientation only and institutional orientation only are insignificant.

Interestingly, the aggregated coefficients of customers and shareholders only (H4a), shareholders and institutional only (H4c) and customers, shareholders and institutional (H4d) shows a significant and positive effect on green product innovations. Therefore, instead of the expected complementarity effect, substitutability effect is found for three of the four hypotheses.

Table 5: Observed coefficients

Variable Coefficients

Sum of isolated coefficients

Difference coefficient

& sum of isolated coefficients

Customer orientation only 5.28***

Shareholder orientation only 3.47

Institutional orientation only 0.26

Customer and shareholder only (H4a) 2.01** 8.75 -6.74

Customer and institutional only (H4b) -10.21 5.54 -15.75

Shareholder and institutional only (H4c) 2.20* 3.73 -1.53

Customer, shareholder and institutional (H4d) 1.82* 9.01 -7.19

Number of observations: 325; * p < 0.10, ** p < 0.05, *** p < 0.01

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5. DISCUSSION

In this section a discussion of the results is made. Firstly the theoretical implications consists of a comparison of existing literature to the findings of this study. In addition a possible explanation of the results in this study is provided. Hereafter managerial implications are presented which could be used by managers. Lastly I provide several limitations of this study which can be used as future research areas.

5.1. Theoretical implications

In this study it is presented firms which orientate on customers only exerts a positive effect on the level of green product innovation. Contrary, firms which orientate on shareholders only or institutional factors only is not found to have an effect on the level of green product innovation. Moreover firms which orientate on (1) customers and shareholders only (2) shareholders and institutional factors only or (3) customers, shareholders and institutional factors showed a significant and positive effect on the level of green product innovation. Nonetheless, this study presents substitutability effect for firms which orientate on these (non-)organizational external stakeholders instead of the expected complementarity effect. Additionally firms which orientate on customers and institutional factors only is not found to significantly affect green product innovation.

Firstly, I examined whether firms which orientate towards customers enhance green product

innovations (H1). Prior research argue customers impact the firms behaviour effectively and firms act

in response of customer needs (Freeman & Reed, 1983). This research has proven firms which orientate

on customers positively affects green product innovations. An explanation for this positive effect on

green product innovations if firms orientate on customers could be found in the studies done by Huang

et al. (2014) and Sharma et al. (2010). These scholars found customers are a strong external force for

firms. Customers have the power to endorse or boycott firms which fail to maintain a balance regarding

the environmental aspects (Sharma et al., 2010). Nowadays customers are paying more attention to the

sustainability aspect (also known as ‘green customers’) which results in more awareness for firms to

participate in green practices (i.e. green product innovation). Another explanation why customer

orientation has a positive effect on green product innovation can be found in the concept of green-

marketing. Previously presented customers exert a strong force on firms and firms try to act in response

of these customer needs. In order to have a firm image which effectively satisfy customers (seeking

environmental friendly products), firms more often use green-marketing (Kirca et al., 2015). Therefore

green products are a crucial and important mean for firms to promote with and create an environmental

firm image (Frei, 1998). This implies firms need to innovate in green products in order to satisfy current

customers and attract potential new customers. Interestingly, the result in this study is in line with the

result of Guoyou et al. (2013). These scholars found (foreign) customers exert a positive effect on green

innovation practices (i.e. green process innovation and green product innovation).

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Secondly, I examined whether firms which orientate towards shareholders only enhance green product innovation (H2). Existing literature argues shareholders are willing to participate in green product innovations in case financial reward is still of an acceptable level (Gadenne et al., 2008; Corral, 2003). Nonetheless this research do not provide evidence (insignificant) that firms which orientate on shareholders has a positive effect green product innovation. Herewith a possible explanation could be the financial rewards of green products (in comparison with the conventional substitute) are not high enough for shareholders to justify green product innovation. Previous studies argue higher amounts of investments are necessary for firms that include green innovation practices (i.e. green product innovation and / or green process innovation) in its business operations in comparison with firms which invest in general (non-green) research and development (Noci & Verganti, 1999). This could imply firms which orientate on shareholders is not affecting green product innovations because the higher investments needed lowers the financial rewards for its shareholders. Another explanation for this finding is the fact green process innovations are more important for shareholders than green product innovations (Calza et al., 2017). This argument is empirically investigated by Guoyou et al. (2013) and the result regarding green product innovation is in line with the result in this study. These scholars found shareholders have heterogeneous effects on firms regarding green innovation. Shareholders have a significant positive effect on green process innovation whereas shareholders have no effect on the implementation of green product innovations (Guoyou et al., 2013). Thus, firms which orientate on shareholders is positively enhancing green process innovation however it is not influencing the level of green product innovation.

Thirdly, I examined whether firms which orientate towards institutional factors enhance green product innovations (H3). Existing literature provide evidence of the positive effect institutional factors have on green product innovations (Sarkis et al., 2010; Rehfeld et al., 2007) however the adoption of green product innovation varies across industries (Kammerer, 2009). This research do not provide evidence (insignificant) that firms which orientate on institutional factors only enhance the level of green product innovation. A possible explanation for this finding is the fact firms need more reasons to adopt green product innovations instead of orientating on institutional factors only. Dangelico and Pujari (2010) found “simply having motivations to ‘go green’ is not enough.” (p.476). In this context of Dangelico and Pujari (2010) ‘motivations’ refers to environmental regulations. This implies firms should be more triggered to innovate in green products instead of only complying to environmental regulations developed by institutions. Interestingly, the stringency of environmental regulations differ between institutions (Eiadat et al., 2008). In some states environmental regulations force firms to innovate its product portfolio (more green) which in turn creates a competitive advantage (Parto &

Herbert-Copley, 2007). Herewith the creation of a competitive advantage is the extra trigger for firms to adopt green product innovation practices instead of only complying to the environmental regulations developed by institutions.

Lastly and most importantly, I extended the current literature by investigating complementarity

effect between different (non-)organizational external stakeholders for green product innovation. More

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specifically complementarity effect between customer orientation, shareholder orientation and institutional orientation. Therefore I tested four complementarity effects (H4). In the current literature it is argued firms need to establish simultaneously good dyadic relationships with each individual stakeholder (Donaldson & Preston, 1995; Clarkson, 1995). This implies firms need to orientate towards more than one stakeholders to secure its business. This study investigated if complementarity also has an effect on green product innovation. Based on the findings of this research I argue there is no complementarity effect for firms which orientate on customers and shareholders only (H4a), customers and institutional factors only (H4b), shareholders and institutional factors only (H4c) or customers, shareholders and institutional factors (H4d). This result can be linked to findings in previous studies that managing multiple stakeholders and satisfying simultaneously multiple stakeholder needs is difficult for firms, for example because of resource scarcity (Greenley & Foxall, 2003). The main reason for this difficulty, all (non-)organizational external stakeholders have other (heterogeneous) expectations resulting in different treatments for stakeholders (fairness approach versus arms-length approach) (Bridoux & Stoelhorst, 2014). The pyramid of corporate social responsibility (CSR) best distinguish between different expectations of stakeholders (Carroll, 1991). Herewith it is presented a firm has four responsibility components: economic, legal, ethical and philanthropic. Most of the firms have problems managing the needs of more than one stakeholder simultaneously because of a too wide focus of stakeholder needs that need to be satisfied. Nonetheless the current literature lacks empirical research which addresses the issues of different responsibilities the firm has regarding its stakeholders (e.g.

Berman et al., 1999).

According to Athey and Stern (1991), this study presents substitutability effect for firms which orientate on customers and shareholders only (H4a), shareholders and institutional factors only (H4c) or customers, shareholders and institutional factors (H4d). A possible explanation for the substitutability effect instead of complementarity effect is firms which tend to orientate towards multiple (non- )organizational external stakeholders weakens the dyadic relationship between the firm and its individual stakeholder. However all the (non-)organizational external stakeholders are important and their needs are taken into business practices in order to secure the firms continuity (Shrivastava, 1995).

Moreover firms which orientate on two or three (non-)organizational external stakeholders cannot effectively satisfy all the needs of different stakeholders and the needs of the firm itself regarding green product innovation (Bridoux & Stoelhorst, 2014). For example institutions are less seeking for profits and more focused on reducing CO

2

emissions (Weaver et al., 2007), customers and shareholders are less seeking for perfect environmental friendly products because of the higher investments and price needed (Noci & Verganti, 1999 ;Rehfeld et al., 2017; Fellnhofer, 2017) whereas “the primary function of the corporation is to enhance the economic well-being” (Freeman, 1994, p.412). In addition subcultural overlap between stakeholder is important in order to create complementarity effect (Gyrd-Jones &

Kornum, 2013). Here the basic assumption is: the more stakeholders which needs to be managed, the

more difficult it will be to have (perfect) subcultural overlap between them. These divergent needs of

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(non-)organizational external stakeholders and differences in cultural overlap could conflict with each other and inhibit the level of green product innovations.

5.2. Managerial implications

This research has three managerial implications. Firstly, this research has proven customers are an important determinant for firms to participate in green product innovation. In the literature it is already known customers exerts a strong external force on firms (Freeman, 1984), this research extend this by arguing that (environmental) firms should take the customer needs into account because they have a significant effect on the level of green product innovation. Secondly, firms should orientate more towards multiple (non-)organizational external stakeholders. This research has proven firm which orientate on (1) customers and shareholders, (2) shareholders and institutional factors and (3) customers, shareholders has a positive effect on green product innovation. Surprisingly there is substitutability effect instead of complementarity effect. Therefore managers of firms should manage the divergent needs of (non-)organizational external stakeholders effectively in order to innovate in green products.

Thirdly, as presented in the discussion firms which only orientate on institutional factors needs more triggers to effectively engage in green product innovation. Interestingly, the results in this study show that all the combined interactions of institutional factors (i.e. firms which orientate on (1) customers and institutional factors only (2) shareholders and institutional factors only (3) customers, shareholders and institutional factors) have a positive effect on green product innovation. Therefore it would be advise to managers to not only orientate on institutional factors but orientate on institutional factors in combination with other organizational external stakeholders orientations (i.e. customers and / or shareholders).

5.3. Limitations and future research

I acknowledge the research I have done has several limitations. These limitations could as well be used for future research streams. Firstly, institutional orientation is measured by an industry score and a state score. In the literature is found institutional orientation could be measured in many different ways (Weng et al., 2015). Future research could focus on different aspects of institutional orientation for example number of environmental regulations applicable in a certain state in the US. Secondly, in order to increase the reliability it would be an advise to improve the data in secondary databases (e.g. Orbis, CompuStat). To illustrate, the control variable R&D intensity has values higher than 80% in this study and a mean of 12,59% (average R&D in 2010 was 2% (OECD, 2013)). CompuStat has been checked as well however the data in this system also showed values for R&D intensity higher than 80%. Hereafter an investigation is done on the internet, in fact the R&D intensity of these firms is approximately 5%.

Therefore an update of the data would be advisable. Thirdly, it would be an advise to investigate the

number of green product innovation as percentage of the total number of patents for each firm. In this

study this approach has been tested, however the results of the analysis were inclusive and not

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