Determinants of green competitive advantage: the roles of green knowledge sharing, green dynamic capabilities, and green service innovation

Lin, Yu-Hsien; Chen, Yu‐Shan

doi:10.1007/s11135-016-0358-6

Cited by 222 publications

(274 citation statements)

References 48 publications

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“…All the measuring items were designed based on a five-point Likert scale [87], ranging from strongly disagree to strongly agree. The scales have been widely adopted for measuring the attitudes and perceptions in transportation and logistics research [88][89][90][91]. Part two included social-demographic information-e.g., gender, age, education, years of working, position, and enterprise properties, such as years of operation and ownership type [85,92].…”

Section: Instrument Designmentioning

confidence: 99%

Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies

Zhang

Shi

et al. 2020

Sustainability

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Over the past decade, the rapid development of e-commerce and express industries in China has resulted in huge environmental costs. Compared with manufacturing industries, the values of green innovation are less recognized in logistics industries. To promote the green practices in logistic enterprises, it is imperative to have a thorough understanding of the determinants of green innovation adoption. To this end, this paper performs an empirical investigation into the intentions to adopt green innovation from 196 Chinese express companies. The determinant variables were constructed from the perspective of technology characteristics (perceived green usefulness and perceived integration ease of use), stakeholder pressure (government, customer, and platform pressures), and social influence. Then, a 20-item scale was designed based on the literature review and expert opinions. The results revealed the significant positive effects of technology characteristics and social influence on the intentions to adopt green innovation. Meanwhile, only the platform pressure was significant with the adopting intentions among the variables from stakeholder pressure. Moreover, variables from technology characteristics were found to have meditation effects between social influence and adopting intentions. Based on the findings, theoretical and practical implications are proposed to promote the green and sustainable development of express companies in China.

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Section: Instrument Designmentioning

confidence: 99%

Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies

Zhang

Shi

et al. 2020

Sustainability

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show abstract

“…Firms determine their KS level by the perceived benefits of information exchange, AC and dependence and collaboration among partners to achieve a sustainable competitive advantage [6,23,30]. In this line, Shih et al [5] indicate that KS is the capability to identify market opportunities through the business partner's information [45].…”

Section: Knowledge Sharingmentioning

confidence: 99%

Human Resource Management Contributions to Knowledge Sharing for a Sustainability-Oriented Performance: A Mixed Methods Approach

2019

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This research examines how internal and external Human Resource Management (HRM) contributes to Knowledge Sharing (KS) in order to reach Sustainability-Oriented Performance. This paper uses a mixed methods approach to report on the main antecedents of KS for Sustainability-Oriented Performance. There are many antecedents of KS both inside and outside organizations that are as yet unidentified. This research applies two complex statistical techniques, namely, structural equation modeling (SEM) (Study 1) and fuzzy-set Qualitative Comparative Analysis (fsQCA) (Study 2). First, SEM is used to determine the antecedents of KS for Sustainability-Oriented Performance: Affective Commitment (AC) (an internal dimension of HRM) and a collaboration-oriented Human Resource Management system (CHRMS) (an external dimension of HRM). Second, three multi-group SEMs are used to determine whether a manager’s characteristics (age and gender) and firm size moderate the relationship between KS and its antecedents. Finally, an fsQCA is conducted to identify alternative configurations that lead either to KS or to its absence. The sample comprises data from an online survey of 367 certified innovative Portuguese small and medium enterprises (SMEs). The SEM results show that a collaboration-oriented HRM system always has a positive effect on KS for Sustainability-Oriented Performance. In addition, if the manager is a young man working in a small firm, their AC positively affects KS. There are alternative configurations that lead to the presence or absence of KS. There is, therefore, empirical evidence for the moderating effects of the manager’s age and gender, and firm size. Our study offers improved new HRM configurations and results when compared to the sole use of traditional quantitative statistical methods. The results are consistent and conclusive.

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“…Nevertheless, industrial pollution stems from nonproductive manufacturing activities and inefficient use of resources [13]. As environmental management allows for companies to boost their corporate image, improve green innovation performance [7], enhance manufacturing productivity, obtain competitive advantages [14], and increase profitability, more firms are eager to act as pioneers and to enjoy first-mover benefits in the field of environmental management [14][15][16]. No study has explored the subject of social capital in the field of environmental management, although social capital has become an emerging research trend in the fields of strategic management, organizational theory, and knowledge management.…”

Section: Introductionmentioning

confidence: 99%

Influence of Network Embeddedness and Network Diversity on Green Innovation: The Mediation Effect of Green Social Capital

et al. 2019

Self Cite

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Due to the current rise in concern about the challenge of global warming, stakeholders are now more conscious than in the past regarding environmental concerns. Stakeholders are more likely than ever before to support companies that are environmentally friendly. Simultaneously, companies seek to develop their social networks in such a way as to enhance their green innovation. This study investigates the influences of network embeddedness and network diversity on green innovation. In addition, this research discusses the mediation effects of green social capital. We adopt structural equation modeling for testing the research framework. A total of 330 valid questionnaires are collected. The results demonstrate that network embeddedness positively affects green social capital and green innovation performance. However, although network diversity positively affects green innovation performance, it does not significantly influence green social capital. Furthermore, the study indicates that green social capital partially mediates the relationship between network embeddedness and green innovation performance.

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Determinants of green competitive advantage: the roles of green knowledge sharing, green dynamic capabilities, and green service innovation

Cited by 222 publications

References 48 publications

Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies

Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies

Human Resource Management Contributions to Knowledge Sharing for a Sustainability-Oriented Performance: A Mixed Methods Approach

Influence of Network Embeddedness and Network Diversity on Green Innovation: The Mediation Effect of Green Social Capital

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