Abstract
Keywords
Introduction
In recent years, many consumers have placed their expectations on companies to be held accountable for their corporate social responsibility efforts. Under such circumstances, organizations have initiated new capabilities, for example, advanced management systems, ecological innovation, and the integration of stakeholder needs, to pave the way for environmentally sustainable economic activities (Alvino et al., 2020; Geng & Maimaituerxun, 2022). Many researchers have confirmed that green intellectual capital (GIC), the sum of intangible assets, knowledge and capabilities, is an essential determinant of innovation capacity in the organizational environment (Andreeva et al., 2021; Kianto et al., 2017). Intellectual capital also plays an important role in addressing the ecological challenges of society (Massaro et al., 2018).
In the fourth phase of intellectual capital research, environmental capabilities and green innovations are central to equipping businesses to minimize adverse environmental impacts when engaging in their routine activities and enhance environmental performance (EP) (Dameri & Ricciardi, 2015; Geng et al., 2022). Green intellectual capital is essential for forming two sides of innovations (exploitative and exploratory) (Andreeva et al., 2021; Kianto et al., 2017). Exploitative green innovation involves applying existing environmental knowledge, capabilities and processes to promote existing green products and green designs (Tu & Wu, 2021; J. Wang, Xue, Sun, & Yang, 2020), while exploratory green innovation involves new environmental information, knowledge and skills to create green markets and new green products (J. Wang, Xue, & Yang, 2020). At the same time, a policy-oriented company for ambidextrous green innovations (IA) also helps it create more intangible green assets in knowledge, structure and relationships. In addition to factors related to the company-owned assets, the pro-environmental behaviors (PEBs) of employees are also emphasized when developing issues related to social responsibility.
Studying this topic in many contexts is necessary for the following reasons.
This article will answer the following key questions to address these limitations: (1) What is the relationship between GIC, IA, PEBs and enterprise EP? (2) What is the relationship between IA and EP when GIC acts as a moderator variable? (3) Do gender differences in leaders result in differences in these relationships? The central premise of our theoretical framework is that effective coordination of different green organizational capacities and resources (e.g., GIC factors and IA) plays a vital role in promoting environmental activities in the enterprise. We test our research hypotheses with data from 320 firms in Ho Chi Minh City, Vietnam, and use partial least squares structural equation modelling (PLS-SEM).
The rest of the paper is structured as follows. Section “Theoretical Framework and Hypotheses” presents the theoretical framework along with the development of hypotheses. Section “Methodology” provides a comprehensive overview of the methodology, followed by data analysis and a presentation of the results in Section “Empirical Result and Discussion.” Section “Conclusions and Implications” concludes the paper with an extensive discussion, presenting the main findings, implications, and limitations.
Theoretical Framework and Hypotheses
Theoretical Framework
This study mainly draws upon resource orchestration theory (H. Liu et al., 2016; Sirmon et al., 2007) to develop the theoretical framework. Based on this theory, resources must be gathered, combined and used to their full potential to realize their potential for value creation (Asiaei, Bontis, et al., 2022). We propose the notion of “natural resource orchestration” according to which green resources and capabilities (e.g., GIC, IA, and employees’ PEBs) only influence performance when they are structured, bundled and leveraged in a way proper for a specific market. Resource orchestration theory’s central tenet is “resource mobilization,” which states that mobilized resources are integrated into an efficient framework to support improved alignment, synchronization and direction for a particular utilization (Asiaei et al., 2021). The paper applies the theory to understand the relationship between GIC, IA, and EP. EP can be enhanced through green workforce environmental behavior and by developing intellectual capital and ambidextrous green innovation strategies. Therefore, this investigation also explores the impact of employees’ PEBs on EP and a possible moderating effect of GIC on the relationship between IA and EP.
Hypotheses Development
Ambidextrous Green Innovation and Green Intellectual Capital
Previous studies only examined the impact of GIC on IA, while they ignored whether IA had an impact on GIC. A company having ambidextrous innovation means that they will be strong in both directions: exploitative and exploratory innovations (Lee et al., 2018; Lin & Ho, 2016). Exploitative is innovation refined by the application of existing knowledge and technologies, while exploratory innovation is the innovation that explores new knowledge, new innovation and develops new technologies (Jansen et al., 2006; Zang, 2018). IA will have positive effects on aspects of GIC, namely green human capital (GHC), green structural capital (GSC), and green relational capital (GRC) (Yong et al., 2019). They emphasized GIC as “the total stock of all kinds of intangible assets, knowledge, capabilities, and relationships, etc. about environmental protection or green innovation of both the individual and organization levels within a company.”
From the above analysis, we determined that the relationship between GIC and IA was significantly positive and proceeded to fill the gap missing in the study, which was the opposite effect from IA on GIC. A scarce study from Rehman et al. (2021) highlighted that green innovation also enhances GIC for businesses. Indeed, organizations separate their new, exploratory units from their traditional, exploitative ones, allowing for different processes, structures and cultures; simultaneously, they maintain close links across units at the senior executive level. In other words, they manage organizational separation through a tightly integrated senior team. Exploratory innovations enable businesses to get knowledge and information from all sides of their environment, therefore, they include the development of new skills and pursuit of new knowledge (Jurksiene & Pundziene, 2016). Radical innovations are finally produced due to the collaboration and contact with several people, businesses and partners, which result in the acquisition of new information (Benitez et al., 2018). The firm can create new sources of competitive advantage thanks to these radical innovations because they can disrupt current business structures (Ireland & Webb, 2009). Meanwhile, exploitative innovation focuses on generating in-depth knowledge in a few areas, rather than establishing a broad set of knowledge in different fields and increasingly standardizing processes in the organization.
With all the above arguments, we developed the following hypothesis:
Ambidextrous Green Innovation and Employees’ Pro-Environmental Behaviors
The move by a company towards the development of ambidextrous green innovation, including exploitative innovation and exploratory innovation, requires employees to take responsibility for the company’s activities related to environmental protection. To achieve successful implementation of environmental sustainability strategies in the corporate social responsibility development policy, the development of corporate green innovation policies must go hand in hand with the consistent involvement of the employees in PEBs (Cheema et al., 2020). According to Wesselink et al. (2017), PEBs are any quantifiable responsible environmental behaviors that help businesses become ecologically sustainable. They can also relate to employees’ propensity to engage in pro-environmental activities (Scherbaum et al., 2008).
The investment in green innovation positively impacts the PEBs of employees. Companies with IA emphasize the importance of employee initiatives in enhancing EP (Shehzad et al., 2023). The success of organizations with high and continuous green innovation has always stemmed from the support of PEBs in creating and implementing various corporate-level environmental initiatives (Robertson & Barling, 2013). Moreover, PEBs are considered significant contributors to the EP of enterprises by protecting the natural environment on the one hand and improving financial performance and employee satisfaction on the other hand (Yu et al., 2021). Referring to IA, the company always encourages employees to learn and discover new knowledge, develop new technologies and take advantage of existing resources. Thus, if employees want to be expressed and integrated into the company, they must also volunteer to participate in environmental protection activities organized by the company or perform individual acts for the environment. Consequently, we developed the following hypothesis:
Employees’ Pro-Environmental Behaviors and Environmental Performance
Employees’ PEBs are related to voluntary behavior that consciously reduces the adverse impact of companies’ activities on the natural environment (Afsar & Umrani, 2020). Previous researchers have shown that PEBs can be attributed to a number of individuals and environmental factors, such as motivation (Jain et al., 2020), benefits, perceived relative costs (J. Liu et al., 2020), perception and knowledge (Li et al., 2019), morality and attitude (Kaffashi & Shamsudin, 2019), and government regulations (Das et al., 2019). In addition, the fact that a company has a high social responsibility also has favorable effects on employee behavior in terms of the environment (Bouraoui et al., 2018). If employees see their organization as a socially responsible entity, they tend to develop a sense of responsibility towards society and the environment. As a result, they have the ability to practice environmentally friendly behavior on their own, leading to better performance in reducing the organization’s environmental impact. Ahmad et al. (2021) concluded that micro-level social responsibility initiatives, directly and indirectly, affect an organization’s EP through employees’ PEBs. According to social exchange theory (Zhao & Detlor, 2023), and the norm of reciprocity (Ahmad et al., 2021), the authors expect a positive reciprocal response from employees’ PEBs in the organization, helping to create an improved EP. Therefore, the following hypothesis is proposed:
Green Intellectual Capital and Environmental Performance
According to López-Gamero et al. (2011), a company’s entire green knowledge, which is referred to as GIC, contributes to the development of an environmental management system, which results in a competitive advantage. GIC consists of three aspects, namely GHC, GSC, GRC, and intangible assets will have a positive impact on EP. De Mendonca and Zhou (2019) defined EP as a company’s success in meeting and exceeding society’s expectations regarding activities that benefit the natural environment. We develop a fourth hypothesis about the influence of GIC on EP. Firstly, GHC is a tool to promote EP for companies with a high degree of environmental management (Song et al., 2021). The development of GHC enhances the positive interaction between corporate environmental ethics and green innovation performance. Huang and Kung (2011) argued that GHC paves the way for compliance with international environmental standards, creating value in line with the growing environmental needs of consumers.
Second, it is not only green human capital that yields good environmental results, but also the support of GSC, such as the necessary organizational structures, information systems and strategies (Jardon & Dasilva, 2017). Green structural capital involves the capabilities, organizational commitment, knowledge management system, reward system, information technology system, database, management mechanism, operating process, brand name… concerning environmental protection in a company. In fact, this outstanding capital creates an atmosphere that encourages, inspires and motivates the members of the organization to contribute to the protection of the environment, thereby improving EP. J. Wang, Xue, and Yang (2020) have shown that environmentally friendly companies are likely to develop an environmentally stable structure and organizational capacity to respond to climate calls.
Finally, GRC helps to foster cooperative relationships with various external agencies of an organization that advocates for environmental protection to improve a company’s image and reputation (Chuang & Huang, 2018). According to Dickel et al. (2018), green cooperation promotes environmental consciousness among partners to deliver superior eco-friendly behaviors. Green relationships among a company’s partners, such as customers, suppliers, network members and competitors, are today highly regarded as key determinants of environmental responsibility in an organizational context. Based on these discussions, we propose the following hypothesis:
Ambidextrous Green Innovation and Environmental Performance
Green innovation actually contributes to the achievement of organizations, including helping EP improvement (Kraus et al., 2020). Clearly, ambidextrous green innovation can be seen as a way in which enterprises incorporate environmental issues into their strategies while strengthening their competitive advantage through innovations that can have a constructive effect on EP (Calza et al., 2017). Based on the central premise of the ambidextrous theory, companies are “capable of simultaneously pursuing exploitation and exploration are more likely to achieve superior performance” instead of just taking care of a single aspect (Raisch & Birkinshaw, 2008). Primarily exploitative-oriented organizations tend to be proficient enough to successfully solve environmental problems by modifying their operations and procedures (Benner & Tushman, 2003). On the other hand, exploratory-oriented companies tend to strongly promote technology development by creating new products and services that can lead to better EP (Lin & Ho, 2016).
An ambidextrous organization can easily exploit and discover the best practices for the environment. An organization’s ability to achieve better EP depends on its ambidextrous ability because a company easily adapts well to any external conditions when it has the ability to “exploit existing competencies and explore new ones and, more importantly, that these two facets of organizational learning are inseparable” (Floyd & Lane, 2000). Therefore, based on the previous arguments, we proposed the following hypothesis:
The Moderating Effect of Green Intellectual Capital
Earlier, in H5, we suggested that a firm’s ambidextrous green innovation is likely to improve its EP. However, we also argue that this relationship can be strengthened by all knowledge that an organization is able to leverage in the process of conducting environmental management to gain a competitive advantage, which is GIC. Therefore, this study also investigates the impact of IA on EP when GIC acts as a moderating variable. Aspects of GIC support the creation of ambidextrous green innovations in organizations (Asiaei, O’Connor, et al., 2022; Rehman et al., 2021). For example, human resources will contribute to creating improvements to reduce environmental pollution and promote favorable environmental policies. The processes within the company that help to accelerate innovations produce higher EP. Relationships with stakeholders such as customers and partners are also a great source of motivation for companies to continuously improve innovations to advertise their company’s image, thereby having a positive impact on the general environment.
Given the literature review and theory discussions presented in Section “Theoretical Framework and Hypotheses,” Figure 1 shows the proposed theoretical model of this study.

The proposed research model.
Methodology
Sample and Data Collection
According to data from the business association, as of December 31st, 2021, Ho Chi Minh City has about 143,000 businesses. Ho Chi Minh City was selected as the sampling location because it is the largest economic center in the country, where many medium and large enterprises in Vietnam converge. The research team collected survey questionnaires from 320 enterprises using a convenient sampling sample. Descriptive statistics in the data sample included 19 private enterprises (accounting for 5.9%); 218 limited liability companies (68.1%); 68 joint stock companies (21.3%); and 15 other businesses (4.7%). By industry, there were 24 enterprises in the fields of agriculture, forestry, and fishery (accounting for 7.5%); 114 enterprises dealing in industry and construction (35.6%); the rest included 182 enterprises operating in the trade and service sector (56.9%). In terms of scale, there were 45 micro enterprises; 159 small-scale enterprises; 87 medium-sized enterprises; and 29 large-scale enterprises.
Measurements
This research used a measurement scale from published works. Specifically, the GIC scale consists of three components: green human capital, green structural capital and green relational capital, inherited from the research of Chang and Chen (2012) and Chen (2008). The IA scale was obtained from the study of J. Wang, Xue, Sun, and Yang (2020). The EP scale was extracted from the study of Guerci et al. (2016), Longoni et al. (2018), and Úbeda-García et al. (2022). Finally, the employee’s PEBs scale was inherited from the research of Ahmad et al. (2021) and Bissing-Olson et al. (2013). The scales were measured on a 5-point Likert scale with 1: completely disagree, 3: neutral, and 5: completely agree. Details of the questions are presented in Table 1.
Accuracy Analysis of Constructs and Indicators.
is the item that will be removed in the following process.
Research Methods
To achieve the purpose of the study, the team conducted a survey of businesses that were headquartered in Ho Chi Minh City. After screening the appropriate answer sheets, the data were analyzed according to the following steps: (i) descriptive statistics; (ii) test the reliability of each scale; (iii) check the validity of the scale (including convergent and discriminant validity); (iv) test the research hypotheses using a partial least squares structural equation model, PLS-SEM; and (v) the last was used to test the difference in mean values between groups in the study. These techniques were introduced by Hair et al. (2014). They have commonly used estimation techniques in business administration and marketing. The results will be presented in more detail in Section “Empirical Result and Discussion.”
Empirical Result and Discussion
Convergent and Discriminant Validity Test
According to Hair et al. (2014) and Edeh et al. (2022), a good scale is one that must have convergent and discriminant validity. Therefore, Cronbach’s alpha coefficient and the composite reliability index (CR) to evaluate convergent validity for each scale were determined. In the proposed model, GIC and IA were second-order constructs. Specifically, GIC was composed of three factors: GHC, GSC, and GRC. Similarly, green ambidextrous innovation consisted of two components: (i) exploitative green innovation (EIGI) and (ii) exploratory green innovation (ERGI). The results of testing the reliability of the scale using Cronbach’s alpha coefficient and the CR are shown in Table 1. Accordingly, the GSC scale had three items removed, the GRC scale also had three items excluded and the employees’ PEBs scale had one item rejected (due to factor loading < .7). All retained items had a Cronbach’s alpha coefficient > .7, CR > .7, and average extracted variance (AVE) > .5. The above results allowed the conclusion that the scales in the proposed research model had convergent validity.
To test the discriminant validity of the scales, the HTMT matrix was used. According to Henseler et al. (2015), if the correlation values between the scales are all ≤.85, the scale achieves discriminant validity between the two latent variables. The results in Table 2 show that the values were <.85, so the scales used all achieved discriminant validity (Richter et al., 2022).
Correlation Index of Heterotrait–Monotrait Ratio of Correlations (HTMT) Between the Scales.
Testing the Research Hypotheses
Once the two conditions that the scale has convergent validity and discriminant validity were satisfied, the proposed research hypotheses were tested. For the GIC variable (second-order structural variable), the factor analysis results showed that all three component scales (GHC, GRC, and GSC) had a positive relationship and were statistically significant. Similarly, two-component scales, including EIGI and ERGI, were significant in representing the second-order structural variable as ambidextrous green innovation. With six initial hypotheses, empirical results using the PLS-SEM analysis technique showed that four hypotheses were supported, and two hypotheses were not supported by the data. In more detail, the study found that GIC (β = .516;
Hypotheses Testing.
Furthermore, GIC can facilitate communication and collaboration among employees, stakeholders, and partners, which can help organizations share knowledge and ideas, build partnerships, and promote innovation. This collaboration can lead to a more robust innovation pipeline, better environmental performance, and increased competitive advantage. Overall, GIC plays a moderating role in the relationship between IA and EP because it provides the knowledge, skills, and abilities necessary to implement and integrate environmentally friendly technologies and processes effectively and fosters collaboration and communication that can lead to ongoing innovation and improvement.
In addition, additional testing results also showed the impact of GIC, IA, and PEBs of employees on EP. Specifically, index

Path analysis results.

Empirical results
Finally, with 246 business leaders in the sample being male and 74 female, the paper explored the difference in the mean values of these two groups for EP. The results of the test’s differences are shown in Table 4. Based on socialization theory, several scholars have realized that gender differences among leaders will have a significant impact on environmental policies and performance (Ahmad et al., 2021). There are still a very small number of studies on this subject, and more importantly, the conclusions are not definitive (Birindelli et al., 2019). Understanding gender roles is crucial to understanding the various degrees of employee environmental protection, depending on the person’s cultural background (Folberg & Kaboli-Nejad, 2020).
Differences Between Males and Females in Environmental Performance
Accordingly, the results of the difference analysis showed that there was a distinction in the impact of employees’ PEBs on EP between companies with male leaders (β = .290,
Discussion
The purpose of this study was to investigate the relationships between GIC, IA, and EP in 320 companies in Ho Chi Minh City, Vietnam. We also attempted to examine whether GIC plays a moderating role in the relationship between IA and EP. Similar to the results of Shehzad et al. (2022), we also found a positive relationship between GIC and EP. This is in contrast to what was found in the study of Asiaei, O’Connor, et al. (2022), where a direct impact of GIC on EP in the context of Iranian companies was not discovered. This result forces businesses to improve their intangible green assets to attain and sustain EP (C. H. Wang & Juo, 2021).
However, the article does not support the hypothesis that there is a positive association between IA and EP within the research context in Vietnam, in contrast to other previous studies by Lin and Ho (2016) and Úbeda-García et al. (2022). Interestingly, when the GIC moderator was present, the above relationship was accepted. First, having a higher level of GIC can enhance the effectiveness of IA (Farzaneh et al., 2022). If a firm has a strong understanding of environmental regulations and policies, it may be able to more effectively explore new environmental practices, technologies and refine existing practices to improve EP. Second, GIC can also moderate the relationship by reducing the potential risks associated with IA. Exploring new environmental practices and technologies can be costly and risky, and firms with higher levels of GIC may be better equipped to manage these risks (Vale et al., 2022). Third, GIC can also act as a buffer against external factors influencing the relationship between IA and EP. For example, changes in environmental regulations or the emergence of new environmental technologies could impact the effectiveness of IA. Nevertheless, firms with higher levels of GIC may be more adaptable and able to adjust their strategies accordingly.
Furthermore, considering previous studies, academics have been more interested in how environmental management affects organizational performance than how PEBs affect organizational EP (Suganthi, 2019). Another empirical result of the article recognizes that employees have pro-environmental behaviors in the company’s development stages that help to increase EP, agreeing with Naz et al. (2022). Employees’ pro-environmental behaviors can also enhance the organization’s reputation and brand image (Peng et al., 2020; Yang & Gao, 2023), leading to increased customer loyalty and market share. As consumers become increasingly environmentally conscious, organizations that demonstrate a strong commitment to sustainability are more likely to be perceived positively and attract environmentally conscious customers. Employees who engage in PEBs may also be more likely to identify and report environmental risks and opportunities within the organization. Hence, employees aware of and knowledgeable about environmental issues are more likely to adopt PEBs, which may substantially impact the firm’s EP (Kim & Seock, 2019).
Conclusions and Implications
Conclusions
The adverse effects of climate change and environmental pollution have been threatening the health and existence of mankind. To contribute to the protection and improvement of environmental quality, it is necessary to participate and join hands with the whole community, including enterprises. Therefore, this study was conducted to explore the impact of green intellectual capital, ambidextrous green innovation, and employees’ pro-environmental behaviors on the environmental performance of 320 enterprises in Ho Chi Minh City. The analytical sequence included testing the reliability of the scale, testing the hypotheses by the method of PLS-SEM and testing the differences. This study draws the following conclusions:
Employees’ pro-environmental behaviors have a positive contribution to the improvement of environmental performance in enterprises.
The more significant the green intellectual capital of enterprises, the more efficient they are in improving the environment through measures such as reducing hazardous waste, increasing the use of recycled input materials, and using more environmentally friendly types of renewable energy. Therefore, the quality of the environment is improved.
The direct effect of ambidextrous green innovation on environmental performance is unclear. However, green intellectual capital will contribute moderately to the above relationship, and this effect will gradually turn positive (more environmentally friendly).
Theoretical Implications
This research provides several important contributions that will be useful for academic scholars and professionals in the field. The paper is mainly developed based on the theory of “natural resource orchestration” (Asiaei et al., 2021; McDougall et al., 2019) with the recognition that green resources and capabilities, such as GIC, IA, and PEBs, only influence performance when they are structured, bundled, and leveraged in a way that is appropriate for a specific market. This framework highlights the importance of considering the context in which green resources and capabilities are deployed and utilized.
First, the article gives a new perspective on improving the quality of green resources of organizations in developing countries, rather than in developed countries (C. H. Wang & Juo, 2021). Among the economies in Southeast Asia, Vietnam is experiencing rapid growth and is ranked as one of the fastest-growing (Hoang et al., 2019). At the same time, Vietnam is facing significant environmental challenges, including pollution, deforestation, and climate change. Understanding how green resources and capabilities can be leveraged to improve environmental performance in Vietnam can help support sustainable economic growth. Besides, Vietnam is undergoing significant social and economic transformation, with a rapidly growing middle class and increasing environmental awareness (Hansen, 2022). As a result, there is growing demand for environmentally friendly products and services. Understanding how green resources and capabilities can meet this demand can help organizations capitalize on new market opportunities. Additionally, it is home to a diverse range of industries, from agriculture and manufacturing to services and tourism (Hampton et al., 2018). By studying green resources and capabilities across different industries, we can gain a more comprehensive understanding of how these resources and capabilities can be leveraged to improve environmental performance in diverse contexts.
Second, the study can contribute to the existing literature on the relationship between GIC and EP (Haldorai et al., 2022; Mansoor et al., 2021) by identifying the role of GIC in promoting EP in Vietnam. The findings suggest that having knowledge, skills, and abilities in environmental sustainability can enable organizations to better identify, evaluate, and implement environmentally friendly technologies and processes, leading to improved environmental performance. GIC is not just about individual knowledge and skills but also about the processes and systems that enable knowledge creation and sharing within organizations.
Third, there is limited attention on the connection between GIC, IA, and EP factors. While some studies suggest that IA acts as a mediator between GIC and EP (Shehzad et al., 2022), our research examines the role of IA on EP when GIC is a moderator variable. This novel approach provides valuable insights for businesses seeking to enhance both IA and EP simultaneously. In this case, the research is looking at how GIC may influence the relationship between IA and EP. The study is trying to understand the complex interactions between these variables to gain a better understanding of how to improve EP through innovation and intellectual capital. We underscores the importance of strengthening GIC, encompassing the three key aspects of green human capital, green structural capital, and green relational capital, to automatically increase both IA and EP.
Finally, this research is the inaugural endeavor to broaden the scope of the literature on organizational behavior in the context of environmental studies. It advances the investigation of sustainable performance by exploring the positive relationship between IA and PEBs of employees. By investing in green innovation, organizations communicate to their employees that they take sustainability seriously. This can motivate employees to engage in pro-environmental behaviors and align their actions with the organization’s sustainability goals. At the same time, employees who are involved in the development and implementation of green innovation can gain new knowledge and skills related to sustainability (Song et al., 2021). This can inspire them to develop and adopt pro-environmental behaviors in their own work and personal lives. Green ambidextrous innovation can create a culture of innovation and sustainability that encourages pro-environmental behaviors. This culture can encourage employees to think creatively about how to reduce environmental impacts and develop new pro-environmental behaviors.
Overall, the study can contribute to the theoretical understanding of the relationship between green intellectual capital, ambidextrous green innovation, pro-environmental behaviors, and environmental performance in organizations, and can inform future research on the topic.
Managerial Implications
This study provides valuable practical implications for leaders of organizations and policymakers to ensure increased effectiveness of corporate social responsibility policies.
Limitations of the Study
Although some findings of the article have certain contributions to the theoretical basis and help to suggest solutions for environmental management agencies, this study also has some limitations, such as: (i) The study deals with the current regulations on environmental standards in force. In fact, before expecting business leaders to actively protect the environment, it is necessary to have strict and timely sanctions for acts of environmental destruction. This is also considered a strong measure to improve the awareness of environmental protection for businesses themselves; (ii) Some differences between domestic enterprises and joint venture enterprises; or between enterprises operating in the field of production and the field of trade and service have not been analyzed. The authors acknowledge that this is a limitation of the study, as well as a suggestive direction for further studies.
