Abstract
In today’s dynamic environment, it is extremely important to study the circumstances in which environmental management contributes to a firm’s competitiveness. Relying on the dynamic capabilities view, this study empirically examines the relationships between environmental proactivity, organizational life cycle stages, competitive advantage, and industry on a sample of 155 Australian firms. The results of a regression analysis show that the construct of the organizational life cycle is significantly related to environmental proactivity. The results also confirm the well-established positive impact of environmental proactivity on competitive advantage. Surprisingly, we found environmental proactivity was positively related to competitive advantage not only in the innovative stages but also in the conservative ones. Our findings reveal the complex nature of environmental proactivity and help better understand the relationship between environmental proactivity and competitive advantage.
Keywords
Introduction
One of the most popular and challenging research questions in environmental management literature is, “When does it pay to be green?” (Albertini, 2013; Berchicci & King, 2007). While many studies confirm that environmental proactivity can provide firms with unique advantages, such as cost reduction (Christmann, 2000; Shrivastava, 1995), differentiation and first-mover advantages (Porter & van der Linde, 1995), capability for stakeholder integration, improved organizational commitment and learning, capability of continuous innovation, and an increase in employee skills (Russo & Fouts, 1997; Sharma & Vredenburg, 1998), understanding of the conditions surrounding the relationship is still lacking (Dixon-Fowler, Slater, Johnson, Ellstrand, & Romi, 2013). We define environmental proactivity as the voluntary implementation of practices (e.g., planning and organizational practices, operational practices, and communicational practices) and initiatives aimed at reducing the impact on the natural environment (González-Benito & González-Benito, 2006).
Firms develop different levels of environmental proactivity. In this context, multiple studies offer explanations to understand the level of proactivity in firms and the related firm success. While some highlight characteristics of firms (e.g., firm size, capability for continuous innovation, tendency to maintain a position of leadership), others place importance on the attitudes and practices of managers and other employees (e.g., interpretation of environmental issues as threats vs. opportunities, expectations of competitive advantages, personal environmental beliefs, attitudes and motivations, information sharing) or refer to characteristics of the environment (e.g., uncertainty, munificence, complexity; Aragón-Correa, Martín-Tapia, & Hurtado-Torres, 2013; Darnall, Henriques, & Sadorsky, 2010; González-Benito & González-Benito, 2006; Rueda-Manzanares, Aragón-Correa, & Sharma, 2008; Sharma, 2000; Sharma, Aragón-Correa, & Rueda-Manzanares, 2007). Despite the great interest in the circumstances in which environmental proactivity contributes to competitiveness, the conflicting findings indicate that researchers are still unable to disentangle the causes of variations in the relationship (Ambec & Lanoie, 2008; Dixon-Fowler et al., 2013). Therefore, to eliminate the existing inconsistencies of findings that leave managers with limited knowledge in their efforts to improve environmental performance, the field needs a new model that can offer relevant guidance for firms with different characteristics.
Empirical evidence shows that firm behaviour can be predicted by means of an organizational life cycle (OLC; Adizes, 1979; Lester, Parnell, & Carraher, 2003; Miller & Friesen, 1984; Quinn & Cameron, 1983). An OLC stage is a multidimensional construct, mostly identified by organizational context and structure (Hanks, 1990). In each stage of the OLC, certain difficulties or transitional problems prevail that result in similar patterns of firm behaviour. For example, Jawahar and McLaughlin (2001) found that at any given stage of the OLC certain stakeholders will be more important than others. Madhani (2010) claimed that the OLC stages are the key determinant of compensation strategies and their effectiveness in achieving organizational goals. Smith, Mitchell, and Summer (1985) were able to link top management priorities to the stages, whereas Quinn and Cameron (1983) established a link between the OLC stages and organizational effectiveness. The OLC theory has also been recognized as important for future development of the environmental management area (Shrivastava, 1995).
Although the importance of the OLC theory has been recognized in many of the related research fields discussed above, its relationship with environmental proactivity has received limited attention thus far. In an effort to advance this research stream, our interest focuses on the following research questions: (1) How do firms in different stages of their evolution integrate the environmental dimension into their business models? (2) What is the relationship between environmental proactivity in different stages of the OLC and competitive advantage? The dynamic capabilities (DC) view (Teece, Pisano, & Shuen, 1997) employed in this study has a strong focus on performance that explicitly recognizes the importance of both the organizational and external contexts within which firms develop a viable strategy.
This article contributes to the literature in two important ways. First, we extend the existing empirical literature on environmental management by including the OLC perspective. We argue that the impact of environmental proactivity on competitive advantage is not predetermined, particularly in economies, where the structure, strategy, decision-making process, and priorities of firms are constantly responding to external environment changes. A better approach for examining the relationship is one that presupposes the relationship between environmental proactivity and competitive advantage is dynamic, determined by the interaction between the firm’s changing internal and external environments. We recognize the dynamic OLC construct as interesting for environmental management literature because (1) it captures many relevant variables from the internal business environment and as such offers a more holistic view and (2) it shows that firms can achieve a competitive advantage from environmental proactivity at different points of their evolution influenced by different contingencies.
Second, by presenting environmental proactivity as a capability that enables organizations in specific stages of the OLC to gain and maintain a competitive advantage, we recognize that the value of dynamic capabilities is context-dependent. We enrich the DC literature by incorporating both internal and external contingencies within the analysis. Building on this, our analysis suggests that firms in the innovative stages of the OLC (birth, growth, and revival) with higher levels of dynamic capabilities achieve greater success than firms in the conservative stages (maturity and decline) with internal factors that enable the potential offered by their dynamic capabilities. We agree that only by nurturing internal competencies within the appropriate external environment can a firm develop a viable strategy (Russo & Fouts, 1997).
The article proceeds as follows: after a brief literature review on environmental proactivity, the DC view, and the OLC, we develop hypotheses describing the relationships between stages of the OLC, environmental proactivity, competitive advantage, and industry. We then explain the methodology used in the study, and present our results. We conclude by discussing the importance of the new insights for theory development and management, presenting the limitations of the study, and providing directions for future research.
Theoretical Foundations and Research Hypotheses
The Dynamic Capabilities View and Environmental Proactivity
The DC view (Teece et al., 1997) is a popular theory in the field of strategic management that places importance on the relationship between firms’ strategic choices and environmental conditions. Failure to address changes in challenging environments can negatively affect firm performance (Audia, Locke, & Smith, 2000).
Teece et al. (1997) defined dynamic capabilities as a firm’s ability to respond to its external environment by constantly developing new capabilities in creating a competitive advantage. According to the DC view, the competitive advantage of firms lies in their managerial and organizational processes, shaped by their specific asset position and the evolutionary paths they have adopted in the past (Barreto, 2010). A particular set of routines can lose its value if the routines support a competence that is no longer of interest to the market (Teece et al., 1997).
The inability to make sense of ecological cues introduces hidden vulnerability (Whiteman & Cooper, 2011). The natural environment can seriously constrain firms’ attempts to create a competitive advantage because it is likely that in the coming years strategy and competitive advantage will depend on capabilities that facilitate environmentally sustainable economic activity. Therefore, environmental proactivity is considered one of the key dynamic capabilities that is tacit, causally ambiguous, firm-specific, socially complex, path-dependent, and may provide a competitive advantage (Aragón-Correa & Sharma, 2003).
The extent to which environmental proactivity leads to competitive advantage depends not only on the firm’s internal environment (discussed in detail in the next sections) but also on the firm’s external environment (e.g., Aragón-Correa & Sharma, 2003; Hart & Dowell, 2011). Aragón-Correa and Sharma (2003) found that certain features of firms’ external environment (uncertainty, complexity, and munificence) moderated the link between environmental proactivity and competitive advantage, whereas Banerjee (2002) recognized that firms from highly polluting industries reveal a stronger orientation to environmental proactivity. Uncertainty is related to managerial perceptions of the general business environment or one of its components as being unpredictable (Dess & Beard, 1984; Milliken, 1987). Flexible legislation, fast-changing demands of consumers and society, and uncertainty about future technologies facilitate the strategic choice of innovative approaches to environmental protection (Majumdar & Marcus, 2001; Rueda-Manzanares et al., 2008). Managers will reduce uncertainty by taking preventive actions instead of reacting to events that have already occurred (Aragón-Correa & Sharma, 2003). Therefore, greater uncertainty is likely to result in a firm’s stronger proactivity. Complexity exists when managers perceive a great diversity of factors and issues as relevant (Miller & Friesen, 1983; Smart & Vertinsky, 1984; Tan & Litschert, 1994). Perceived complexity makes it difficult for managers to identify key strategic factors and introduce changes (Amit & Schoemaker, 1993; Aragón-Correa & Sharma, 2003). It is therefore argued (Rueda-Manzanares et al., 2008) that in a complex general business environment firms are less likely to make large investments in environmental proactivity. Finally, munificence is the degree to which an environment can sustain a firm’s continuous rate of growth (Dess & Beard, 1984). A munificent environment is characterized by lower taxes, governmental incentives, robust infrastructure, fast-growing markets, a general economic upturn, a qualified workforce, and so on (DeCarolis & Deeds, 1999). In a munificent environment, firms find more opportunities to develop a proactive environmental approach (Aragón-Correa & Sharma, 2003).
Despite the significant advances in this field, more research is required to analyse internal and external contingencies when studying the value of dynamic capabilities (Barreto, 2010). Specifically, greater efforts should be made to compare the effects of similar dynamic capabilities in clearly distinct environmental conditions (e.g., in different industries or different periods of time; Barreto, 2010; Winter, 2003).
Organizational Life Cycle Theory
While the importance of environmental issues is recognized, little is known about how they are integrated into firms’ operations during their evolution. The OLC theory importantly contributes to the literature that describes the characteristics of organizations in different stages of their evolution (Miller & Friesen, 1984). Although there are many different models, most researchers describe a similar pattern of organizational development. In the five-stage model that is used in this article (Table 1), firms are predicted to evolve through their birth, growth, maturity, revival, and decline stages (Miller & Friesen, 1984). As a result, firms in different stages vary in their organizational structures, innovativeness, proactivity, decision-making, and so on (Greiner, 1972; Quinn & Cameron, 1983).
Organizational Life Cycle Stage Characteristics.
Source. Adapted from Adizes (1979); Lester and Parnell (2008); Miller and Friesen (1984); and Quinn and Cameron (1983).
In the birth stage, a new firm attempts to become a viable entity. Firms are young, owned by their founders, and have simple and informal structures. The growth stage is characterized by rapid sales growth and the establishment of distinctive competencies. Typically, a functionally based structure is created, the decision-making style is more decentralized, and procedures are formalized. The maturity stage occurs as sales levels stabilize and the level of innovation falls. Firms in this stage seek to protect what they have gained instead of innovating, while top management focuses on planning and strategy; formalization and control become the norm. Firms in the revival stage display a desire to diversify and expand their product-market scope. Their creativity and innovation is sometimes facilitated through the use of a matrix structure, and decision-making is considerably decentralized. The revival stage possesses similar elements of structure, formalization, and decision-making as the growth stage. The decline stage is characterized by a drop in profitability due to external challenges and a lack of innovation; control and decision-making tend to become centralized (Lester & Parnell, 2008; Miller & Friesen, 1984; Quinn & Cameron, 1983).
OLC Stages and Environmental Proactivity
Existing empirical research confirms that the level of environmental proactivity and its relationship with competitive advantage rest not only on a single attribute but also on the interrelation and complementarities between multiple characteristics such as managerial attitudes, physical assets, organizational capabilities, and intangible resources (González-Benito & González-Benito, 2006). Following this, we argue that firms can reach the same level of environmental proactivity and competitive advantage from “different paths” (based on the idea of equifinality; Katz & Kahn, 1978). In other words, firms from different OLC stages can have a similar environmental approach.
The OLC literature shows that firms shift between the highly innovative birth, growth, and revival stages, and the more conservative maturity and decline stages (Adizes, 2004; Lester et al., 2003; Miller & Friesen, 1984; Quinn & Cameron, 1983). Although each stage is unique, a combination of the different complementary variables (e.g., situational, structural, decision-making) that determine the OLC stages sets the degree of innovativeness and managerial attitudes that is similar within the two groups, namely, an innovative one with firms in the birth, growth, and revival stages, and a conservative one with firms in the maturity and decline stages. Based on this, we argue that the level of environmental proactivity and achieved competitive advantage will be very similar within the innovative and conservative groups of stages. To overcome the limitations of the small sample size in the current study, we used this classification of the OLC stages.
The present study considers that a firm is innovative if it develops an organizational culture that encourages employees to innovate and adopt new ideas (Hurley & Hult, 1998). Miller and Friesen (1984) empirically verified that a firm’s strong capacity for innovation, determined by its resources and capabilities (Kostopoulos, 2002), is common in the stages of birth, growth, and revival, and strategies related to the development and implementation of advanced environmental practices are thus expected to emerge. Innovative behaviour and expected higher levels of environmental proactivity in the innovative stages are further supported by the set of organizational characteristics, such as flexible structures, a higher degree of risk-taking, and a lower degree of formalization (Burns & Stalker, 1961).
To increase sales, firms in the innovative stages often enter new markets where the rate of innovation is high and competition is intense, so it is more likely that they explore, create, and invest in dynamic capabilities. While market expansion in general does not require dynamic capabilities (Winter, 2003), expansion to a novel market, or the creation of entirely new ones, does because the dominant logic that they are accustomed to using is no longer valid. By developing dynamic capabilities for environmental proactivity, a firm might be able to better adapt to changing industry conditions, learn and exploit new opportunities, and articulate an innovative response to market demand. Following these arguments, we expect that firms in the innovative stages of the OLC are likely seeking to adopt a proactive approach to environmental protection.
On the other hand, firms in the conservative stages of the OLC, namely, the maturity and decline stages, are more reactive in their stance. In these stages, the level of innovation falls, firms become conservative, and seek to protect what they have gained (Lester & Parnell, 2008). These firms are expected to be hierarchical, inflexible, and bureaucratic (Burns & Stalker, 1961) and managers’ decision-making style less innovative, less proactive, and more risk-averse than in any other stages (Miller & Friesen, 1984). With such structures and operation, adopting environmentally proactive behaviour is complicated as it requires a loosening of organizational structures and norms (Russo & Fouts, 1997).
Moreover, for firms in the conservative stages any changes in the external environment, such as changes in customers’ preferences, represent a threat because their adaptation is more difficult. Jawahar and McLaughlin (2001) argued that environmental proactivity involves anticipating and accepting responsibility and can only be implemented when threats have been forecasted. If a threat already exists, then it is too late for proaction and firms can only accommodate and develop reactive strategies to obey the legislation. According to the DC view, firms must interact with their external environment in order to prevent rigidity and encourage proactive behaviour (Teece et al., 1997). Therefore, a forward-thinking and action-oriented management style, common to the innovative stages, is an important element for supporting environmentally proactive behaviour. On the contrary, firms in the conservative stages put more emphasis on establishing rigid administrative systems, policies, rules, and guidelines that slow decision-making and reactions to changes in the external environment (Adizes, 2004).
More likely for the conservative stages, environmental compliance only affects physical asset resources, which consist of the physical technology, an organization’s plant and equipment, its geographical location, and its access to raw materials (Barney, 1991). These physical resources are usually costly, albeit necessary for organizations in order to comply with regulation and avoid liability costs. Compliance is primarily achieved by the addition of pollution-removing devices to the existing assets of an organization and does not require expertise in managing new environmental technologies or processes (Hart & Dowell, 2011).
Industry as a Moderator
Hypothesis 1 predicts that firms in the innovative stages of the OLC adopt a more proactive approach to environmental protection than firms in the conservative stages. Apart from firm-specific characteristics, resource selection and deployment are also influenced by external factors, including industry. The development of a firm’s strategic assets is an integrative process that depends on the firm’s strategic choices in relation to industry- and market-determined factors. The applicability of a firm’s bundle of resources and capabilities to a particular industry setting will determine the firm’s competitive advantage (Kostopoulos, 2002).
Firms from related industries have a similar regulatory framework, media attention, scrutiny from activists, community concerns, and changes in consumer behaviour (Berrone & Gomez-Mejia, 2009). Banerjee, Iyer, and Kashyap (2003) found that important antecedents to a proactive approach to environmental protection, namely, public concern, regulatory forces, and competitive advantage, are all moderated by industry type. They claimed that firms from “dirty” industries are more environmentally proactive than firms from service sectors due to the more stringent regulations they face, greater liability risks, and the effect of public concern. On the other hand, given the relatively high visibility of environmental problems in “dirty” industries, the effect of competitive advantage is greater in service sectors due to the few regulations there and consequently the many strategic options. Accordingly, these two groups of firms tend to adopt similar strategies in response to environmental issues (Bansal, 2005; Bansal & Clelland, 2004; Hoffman, 2001).
Due to compliance costs that are much bigger for the high environmental impact sectors, greater cost savings could accrue from resource conservation, lower waste generation, crisis prevention, and the establishment of new barriers. It is therefore more likely that for firms operating in high environmental impact sectors the relationship proposed in Hypothesis 1 will be more positive than for firms operating in moderate environmental impact sectors.
Environmental Proactivity and Competitive Advantage in Different OLC Stages
Most arguments used to explain competitive advantage and firm performance associated with environmental proactivity are based on the resource-based view and, more recently, on the DC view. For example, Russo and Fouts (1997) showed that the increased return on assets of an environmentally proactive firm is the result of the distinctive resources it possesses: physical assets, technology, human resources, organizational capabilities, and intangible resources. Similarly, Sharma and Vredenburg (1998) identified three key capabilities derived from environmental commitment: continuous innovation, organizational learning, and stakeholder integration. A dynamic capability of environmental proactivity requires the integration of these capabilities through the use of organizational and managerial resources (Aragón-Correa & Sharma, 2003; Russo & Fouts, 1997; Sharma, 2000). In accordance with the OLC theory, compared to firms in the conservative stages firms in the innovative stages are more likely to actively seek opportunities to develop these complex capabilities and acquire valuable resources that are supported by the organizational structure, risk-taking propensity, and significant employee involvement (Adizes, 2004; Miller & Friesen, 1984). Investments in the development of capabilities for environmental proactivity generate more knowledge-based capital (Ghemawat, 1986), whereas the use of new environmental technologies that require increased skills from workers adds to complexity in an organization’s operation, creating advantages that are less transparent and difficult to imitate (Groenewegen & Vergragt, 1991).
Furthermore, empirical studies have found that profiting from environmental proactivity is more likely if a firm possesses a strong innovation capability (Ambec & Lanoie, 2008; King & Lenox, 2001), which is common among firms in the innovative stages. As a result, we expect that the environmental proactivity of firms in the innovative stages has a positive impact on various indicators of competitive advantage such as cost savings, relationships with different stakeholders, growth opportunities, and quality improvements. The latter are not limited to developed firms in the later OLC stages. Through their greater social awareness and concern for the natural environment (Noci & Verganti, 1999), simple and less bureaucratic structure (Adizes, 2004; Miller & Friesen, 1984), flexibility in managing external relationships (Aragón-Correa, Hurtado-Torresn, Sharma, & García-Morales, 2008), and faster decision speeds (Chen & Hambrick, 1995), many smaller firms in the early OLC stages are poised to innovate in ways that larger firms cannot (Jones & Klassen, 2001). For these reasons, smaller firms may be more efficient innovators, more responsive to stakeholder pressures, and more successful in their adoption of proactive environmental behaviour than their larger counterparts.
However, empirical findings in the literature show that adopting a proactive approach to environmental protection is complex as it requires changes in products, processes, and systems (Aragón-Correa & Sharma, 2003) and involves different stakeholders at different levels (Russo & Fouts, 1997) as well as managerial commitment and coordination (Aragón-Correa, 1998). To reduce pollution, firms may need to implement technologies that may fail, or cause quality problems or unforeseen costs (Klassen & Whybark, 1999; Russo & Fouts, 1997). It is also hard to put proactive environmental practices into practice since they usually require the redesign of production, new equipment, and cross-functional employee coordination. Moreover, environmental proactivity may increase uncertainty about outcomes (Aragón-Correa & Sharma, 2003).
With the structures and operation of firms in the conservative stages, adopting proactive behaviour is complicated and unpredictable and requires changes in organizational structures and norms (Russo & Fouts, 1997). Therefore, we argue that environmental proactivity is negatively related to competitive advantage for firms in the conservative stages. These firms are likely to perform better when they are focusing on their existing core competencies, cost control and efficiency.
Methodology
Data Collection
To test our hypotheses, we conducted a cross-sectional online survey among Australian firms. The Australian economy, comparatively unaffected by the latest global financial crisis, remains among the most robust in the OECD with solid growth prospects and low unemployment. The country was selected on the basis of the Australian economy’s development and stability.
Prior to the survey, we conducted 10 interviews with managers from different industries to ensure the relevance of the concepts and that the phrasing of the items and meaning of the concepts were equally understood.
Our population consisted of 1,736 randomly selected firms in the FrescoData database. This database provides detailed contact data and a directory of each firm’s primary managers. Within the 2-month field phase, namely, November and December 2012, the questionnaire was emailed mostly to senior executives (the Chairman or CEO), who were considered to have a holistic understanding of their firms’ strategies and performance, or environmental managers. The cover letter, sent to senior executives (the Chairman or CEO), indicated that participation was voluntary and confidentiality was guaranteed. After three rounds of reminder emails, the study had received 196 responses (11.3%), of which 155 responses were correctly completed and considered valid. There were no significant differences between the early and late respondents.
The data were collected from firms with different numbers of employees, revenues, ownership forms, and from different industries. Thus, the sample contains a wide range of firms. Regarding the size of the firms, we examined the number of employees: 41% of the firms employ 1 to 49 employees, 23% have 50 to 249 employees, 24% have 250 to 2,499 employees, and 12% have 2,500 or more employees. The structure of the respondent firms in revenue terms is as follows: 17% of the firms reported revenues of below AUD 1 million; 43% reported revenues of between AUD 1 million and AUD 40 million; 30% between AUD 40 million and AUD 1 billion; and 10% AUD 1 billion or more. The final industry distribution is as follows: services (51%); agriculture, fishing, mining, and forestry (13%); manufacturing (10%); construction (8%); transport, postal, warehousing, and communication (6%); utilities (5%); and other (7%). Regarding the ownership forms, 69% of the firms are privately held and 31% are publicly traded and others.
Because all data are self-reported and collected through the same questionnaire during the same period of time with a cross-sectional research design, common method bias could have augmented the relationships between the variables. Harman’s one-factor test was therefore conducted to test the presence of common method bias. If a substantial amount of common method bias is present, one general factor will account for the majority of the covariance among the variables (Podsakoff & Organ, 1986). The test performed on the items environmental proactivity and competitive advantage indicated that no general factor accounts for most of the covariance in the dependent and independent variables.
As suggested by Podsakoff, MacKenzie, Lee, and Podsakoff (2003), we attempted to reduce the presence of common method bias by also assuring that the respondents’ answers would be anonymous, by asking the respondents to answer questions as honestly as possible, and, finally, by not revealing the conceptual framework of the study and mixing the constructs in a way that reduced the possibility of the respondents guessing how the researchers wanted them to respond.
Measures
Environmental Proactivity
The environmental proactivity scale (González-Benito & González-Benito, 2005) used in the study reflects the degree of implementation of each environmental management practice. The scale (28 items) measures four groups of environmental practices: planning and organizational practices; operational practices: product- and process-related; and communicational practices. Each manager was asked to score the degree of implementation of each practice according to a 5-point Likert-type scale (1 = “Not at all; only what the regulation requires” to 5 = “To a great extent; it has been a priority for our firm”). The multi-industry sample used in this study involved problems with the applicability of the environmental practices in different sectors. To overcome this issue, we provided an additional “not applicable” option for product- and process-related environmental practices (α = .97).
OLC Stages
The OLC scale included five descriptions for each of the five OLC stages (see Table A1 in Appendix A for details). The descriptions contained characteristics from the literature (Miller & Friesen, 1983; Quinn & Cameron, 1983) that appeared to be indicators of the OLC stages: decision-making, structure, situation, level of innovation, and sales growth. A respondent chose one of the OLC stages based on a description of the situation that best fits their firm. Following this, 34 firms are in Stage 1, 24 in Stage 2, 35 in Stage 3, 43 in Stage 4, and 19 in Stage 5. This approach of classifying was employed after we found the scale of Lester et al. (2003) to be inappropriate for the current study due to the unacceptable coefficient alphas (<.7), low communality values (<.4), and cross-loading of items on factors (Hair & Anderson, 2010). For the purpose of testing the hypotheses, the firms were further classified in the innovative (101) and conservative stages (54).
We conducted an additional analysis using “firm total sales growth” as a proxy for OLC stages to provide further support for the results. The variable was selected on the basis of the literature that recognizes sales growth as one of the determinants of the OLC stages (e.g., Adizes, 2004; Lester et al., 2003; Miller & Friesen, 1984). As expected, we found a strong correlation between the conservative/innovative stages and sales growth (p < .01; results of the analysis can be obtained on request).
Industry Type
The firms were grouped into the high (utilities, manufacturing, construction, agriculture, fishing, mining, forestry, transport, postal, chemical) and moderate (services, accommodation, communication, wholesale, warehousing, retail) environmental impact sectors based on the firms’ effect on the environment. Following the classification of Banerjee et al. (2003), 37% of the firms in the sample operate in high environmental impact sectors and 63% operate in moderate environmental impact sectors.
Competitive Advantage
To measure this construct, we applied Banerjee et al.’s (2003) scale focused on measuring managerial perceptions (a 5-point Likert-type scale) of cost savings, growth opportunities, opportunities in new markets, and quality improvement in relation to environmental proactivity (see Table A2 in Appendix A for details). In addition, we introduced questions asking about reputation, employee commitment, and relationships with suppliers (α = .90).
Control Variables
This study included five control variables that may influence the proposed relationships: firm size, ownership form, and three characteristics of the general business environment: uncertainty, complexity, and munificence. We controlled for the size of the firms since larger firms are more likely to have resources available for developing and implementing environmental management practices (Aragón-Correa, 1998). An ownership dummy variable was used to distinguish between privately held and publicly traded firms. Publicly traded firms are likely to have a wider scale and a more sophisticated application of environmental management practices as stakeholder pressures become increasingly multifaceted, with higher expectations for publicly traded firms in terms of sustainable operation. Finally, we used a six-item scale (Tan & Litschert, 1994) to measure the managers’ perceptions of uncertainty, complexity, and munificence. Items were measured on a 5-point Likert-type scale (1 = “Strongly disagree” to 5 = “Strongly agree”). An exploratory factor analysis revealed that five items, consistent with the literature (Rueda-Manzanares et al., 2008; Tan & Litschert, 1994), show the existence of three factors of the general business environment: uncertainty, complexity, and munificence (results of the analysis can be obtained on request).
Analysis and Results
To analyse Hypotheses 1 and 2, we applied moderated hierarchical regression analyses (J. Cohen & Cohen, 1983), with a moderator effect introduced as a two-way interaction term in the final step. Interaction was computed by multiplying the independent variable of OLC and industry. To test Hypothesis 3, we applied hierarchical regression analysis. Table 2 displays the correlations among all the variables. The results show that environmental proactivity has a significant positive correlation with firm size, OLC stages, industry, competitive advantage, and munificence and significant negative correlation with uncertainty. Competitive advantage has a significant positive correlation with firm size, munificence, and environmental proactivity and a significant negative correlation with uncertainty.
Correlation Matrix.
Note. OLC = organizational life cycle. The number of observations is 155. Categorical variables coded as follows: OLC stage: 0 = conservative stages (54), 1 = innovative stages (101); Organizational characteristics total sample: firm size: 0 = fewer than 1,000 employees (123), 1 = 1,000 employees and more (32); Ownership form: 0 = privately held (107), 1 = publicly traded and others (48), Industry: 0 = Moderate environmental impact sectors (98), 1 = High environmental impact sectors (57).
p < .05. **p < .01 (2-tailed).
In the first step of the analysis, we tested three models to investigate Hypotheses 1 and 2. Hypothesis 1 states that firms in the innovative stages of the OLC adopt a more proactive approach to environmental protection than firms in the conservative stages. The results are displayed in Table 3. In Model 1, the results show that firm size, uncertainty, munificence, and industry, all control variables, have a significant effect on environmental proactivity, while ownership form and complexity do not seem to be important in our sample. In Model 2, we added the OLC dummy (0 = conservative stages, 1 = innovative stages). The statistical contribution of this variable is highly significant (β = .47, p < .01), hence supporting Hypothesis 1. In the final step of the regression analysis, we examined the moderation effect of the industry on the (positive) relationship between the OLC stages and environmental proactivity (Hypothesis 2). The findings show that the effect of the moderating variable is negative and insignificant (Model 3). Therefore, Hypothesis 2 is not supported.
Hierarchical Regression Results (DV = Environmental Proactivity).
Note. OLC = organizational life cycle. The number of observations is 155.
p < .1. *p < .05. **p < .01 (2-tailed).
To test Hypotheses 3a and 3b concerning the relationship between environmental proactivity and competitive advantage in the different stages of the OLC, we also computed a hierarchical regression analysis, which is presented in Table 4. In the analysis, we first entered the control variables (Models 4a, 4b, and 4c), firm size, ownership form, uncertainty, complexity, munificence, industry, and OLC stage. In the second step (Models 5a, 5b, and 5c), we introduced the main effect of environmental proactivity. Within the total sample environmental proactivity is positively related to competitive advantage. Consistent with Hypothesis 3a, we also found a positive relationship in the innovative stages (β = .41, p < .01). For Hypothesis 3b, which proposes a negative impact of environmental proactivity on competitive advantage in the conservative stages of the OLC, we found a positive and significant relationship (β = .16, p < .05). Therefore, Hypothesis 3b is not supported. However, the results show that the relationship between environmental proactivity and competitive advantage is stronger for firms in the innovative stages.
Hierarchical Regression Results (DV = Competitive Advantage).
Note. OLC = organizational life cycle.
p < .1. *p < .05. **p < .01 (2-tailed).
Discussion and Theoretical Contribution
In the environmental management literature, scholars recognize the role of a firm’s resources and capabilities in its development of a proactive environmental approach. This includes the attitudes, skills, and practices of managers (e.g., Sharma, 2000), as well as complex environmental capabilities for continuous innovation and stakeholder integration (Russo & Fouts, 1997; Sharma & Vredenburg, 1998). We argue that the extent to which these resources and capabilities will actually lead to the development of environmental proactivity as a dynamic capability that creates value will depend on the OLC stage a firm is in.
In our explanations, we have built on the DC view (Teece et al., 1997) examining the relationships between the OLC stages, environmental proactivity, and competitive advantage. This study’s most important finding is that the OLC is an important determinant of environmental proactivity. Firms falling into the innovative stages attribute greater importance to environmental issues than firms in the conservative stages. In other words, the level of environmental proactivity depends strongly on a firm’s specific characteristics reflected in the OLC stage. Our OLC variable included characteristics that appeared to be indicators of the OLC stages (Miller & Friesen, 1984; Quinn & Cameron, 1983): decision-making, structure, situation, level of innovation, and sales growth. We argue that firms in the innovative stages achieve higher levels of environmental proactivity due to a set of organizational characteristics such as flexible structures, a higher degree of risk-taking and innovation, and a lower degree of formalization that support proactive behaviour. Therefore, prescriptions about which environmental strategies to pursue should be contingent on the OLC stage firms are in.
Another important contribution to the environmental literature we make is the finding that firms achieve a competitive advantage from environmental proactivity at different points of their evolution influenced by different contingencies. Inconsistent with Hypothesis 3b, our results show that environmental proactivity is positively related to competitive advantage, although to a smaller extent, not only in the innovative stages but also in the conservative ones. A possible explanation is that firms in the conservative stages implement affordable and already established proactive environmental practices. These practices leave a firm essentially in the same resource and capability situation as it was before it adopted them. In this way, firms avoid the negative effects of environmental proactivity commonly related to environmental innovation. More detailed investigations of environmentally proactive firms from the conservative stages are needed to understand this finding.
As we have shown, the impact of environmental proactivity on competitive advantage is not fixed, particularly in environments where the structure, strategy, decision-making process, and priorities of firms are constantly responding to external demands. We argue that this relationship is more dynamic, under the influence of a firm’s internal and external environment. Accordingly, we propose that the multidimensionality of the OLC concept and its dynamic feature are important for untangling the complex relationship for two main reasons. First, it captures many relevant variables from the internal business environment and as such offers a more holistic analysis, and second, it enables a researcher to study a firm’s dynamic capabilities and their value at different points of a firm’s evolution influenced by different contingencies.
In addition to simply processing unique resources and developing dynamic capabilities, a firm needs to take the influence of its external business environment into consideration (Priem & Butler, 2001). The role of contingencies is recognized as extremely important in the DC literature, arguing that the value of dynamic capabilities is context-dependent (Barreto, 2010; Winter, 2003). Therefore, we also draw a significant amount of attention to industry (Banerjee, 2002) and the dimensions of the general business environment (e.g., uncertainty, complexity, munificence; Aragón-Correa & Sharma, 2003). By grouping cases in the high and moderate environmental impact sectors, we recognized the type of industry as an important determinant of environmental proactivity. We could not confirm the moderating effect of the industry variable on the relationship we examined although, consistent with Banerjee’s (2002) study, we found industry to have a main effect on the level of environmental proactivity. Factors like stricter legislation and public concern for the environment might explain a higher level of environmental proactivity in the high environmental impact sectors. Moreover, we could confirm the relationship between munificence and environmental proactivity as well as between munificence and competitive advantage. Inconsistent with the previous literature (Rueda-Manzanares et al., 2008), we found that environmental uncertainty reduces the level of environmental proactivity and competitive advantage. High environmental uncertainty may lead firms to adopt structures that seek to reduce uncertainty, and hence maintaining the status quo represents a rational response. We also found that firms from the conservative stages of the OLC are more sensitive to the characteristics of the general business environment (complexity and uncertainty). It seems that a complex environment encourages such firms to exploit and utilize their resources and capabilities to help them survive. Our findings contribute to the DC view by showing how the internal and external factors that were proven to be important for the examined relationships enable (or inhibit) firms to create value from the dynamic capabilities they possess.
Recommendations for Business and Public Policy Managers
The strong influence of the OLC theory on environmental proactivity provides interesting and novel findings for management. Our theory can be a useful tool for effective environmental management in several ways. First, our theory can help managers become more fully aware of when to pursue proactive environmental initiatives. Adopting a proactive approach to environmental protection is complex since it requires a loosening of organizational structures and norms (Russo & Fouts, 1997), changes in doing business as usual (Aragón-Correa & Sharma, 2003), involves different stakeholders (Russo & Fouts, 1997), and managerial commitment and coordination (Aragón-Correa, 1998). Therefore, managers should think about the stage of their firm’s development and adapt their strategies as they move through the different stages; otherwise, they may inhibit their firm’s further development. Here, more research is needed to determine specific environmental strategies that are beneficial for firms in different stages of the OLC.
Second, our study offers a novel discovery: Environmental proactivity is positively related to competitive advantage not only in the innovative stages of the OLC but also in the conservative ones. Firms in the conservative stages, specifically those in poor shape, might reconsider developing a new business model with environmental dimensions as one of the key components and thus push themselves away from passivity. We believe that with the right set of environmental strategies firms can improve their position in the market by reducing costs, improving the relationship with stakeholders, improving their organizational commitment and learning, and offering high-quality products and services.
As a result, if a firm wants to be environmentally proactive it may want to hire environmental managers to develop and implement appropriate strategies or, if lacking sufficient financial resources, find a venture capitalist who might be willing to invest in risky environmentally friendly projects (Marcus, Malen, & Ellis, 2013). Indeed, success not only requires the commitment of financial resources but may also require a firm to change some of its most important characteristics, such as its management style or organizational structure. Therefore, the theory can help firms exploit their situation, resources, and capabilities more efficiently and reduce the ambiguity related to environmental proactivity and its complex nature.
Any efforts to move firms towards being environmentally proactive should be supported through the significant role of public policymakers. First, environmental causes and effects stretch over long periods of time (past, present, and future), and policymakers should therefore strive to resolve future uncertainties and offer policy instruments that incentivize long-term investments in environmentally friendly practices (Sarasini & Jacob, 2014). Long-term incentives are particularly favourable for firms in conservative stages with many difficulties and operating in insecure environments. Second, it is also important to make the environmental impacts of firms more transparent by improving the availability of information in existing and/or new registers (Aguilera-Caracuel & Ortiz-de-Mandojana, 2013). Especially in the less regulated moderate environmental impact sectors more mechanisms should be offered through which firms could communicate their environmentally friendly actions. Finally, not all stakeholders are equally important at any given stage of the OLC (Jawahar & McLaughlin, 2001). Therefore, regulators must implement policymaking procedures that facilitate open dialogue among different stakeholders in order to support conditions that stimulate environmental proactivity in different stages of the OLC (Sarasini & Jacob, 2014).
Limitations and Future Research
Our study has two important limitations. First, the variables are measured based on managerial perceptions and consequently have a certain degree of subjectivity. Social desirability in reporting a firm’s environmental practices may be a potential bias, despite the assurance of anonymity given to the respondents. Therefore, environmental investments made by firms and environmental performance measures need to be included in further studies. The second limitation is our measure of the OLC, which was derived from the existing empirical literature (Miller & Friesen, 1984; Quinn & Cameron, 1983) and applied after we found the scale of Lester et al. (2003) to be inappropriate. Herein lies the need to find a reliable and consistent OLC scale that would enable each of the five OLC stages to be examined separately.
Future research might explore the proposed relationships by adding new perspectives. One important area of research is the funding of environmentally friendly technologies in different stages of the OLC. The great costs of scaling up production, distribution, and installation of environmental friendly technologies add significant risk to investments. A lack of funding is generally viewed as a major barrier to the progress innovative firms could otherwise make (Bygrave, 2004). Venture capitalists are one source of capital needed by high-potential firms. The start-ups the venture capitalists support can have a large impact on sectors such as transportation, power generation, construction, and manufacturing (Marcus et al., 2013). However, the fact that such technologies are less mature makes funding increasingly problematic. Therefore, examining how funding for environmentally friendly technologies in different stages of the OLC may be promoted constitutes an important area for future research. Without this, the development of the environmental management area is at risk, as is the change we aim to achieve.
Another important avenue of research for organization and environment scholars is understanding the role of a sharing economy where people offer and share underutilized resources (e.g., skills, space, goods) in assisting economies towards sustainability. The potential sustainability benefits associated with the new models are interesting from an environmental perspective, particularly in the context of increasing pollution. Sharing models have emerged in many sectors including professional services (e.g., oDesk), transportation (e.g., Lyft), money (e.g., Kickstarter), and space (e.g., Airbnb). Their success is mainly driven by the current financial recession, growing environmental consciousness, and rapid development of information and communication technologies that enable sharing. We believe that the sharing economy is a pathway to a sustainable future (B. Cohen & Kietzmann, 2014). Yet more research needs to be conducted to deliver new ideas and findings. For instance, which conditions contribute to the adoption and success of such models in different stages of a firm’s evolution? Or another challenging research topic is to analyse and understand the public–private partnership process in sharing economies. For example, despite the growing opportunities for sharing economy models in the private sector, more research is needed to examine collaboration between private sectors, government funding, and regulations in solving infrastructure challenges that inhibit the faster development of such models.
Footnotes
Appendix A
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
