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RESEARCH ON THE IMPACT OF BEHAVIORAL AND TECHNICAL PRACTICES OF GREEN SUPPLY CHAIN MANAGEMENT ON GREEN INNOVATION: PERSPECTIVES OF KNOWLEDGE-BASED VIEW AND DYNAMIC CAPABILITIES
Date Issued
2025-10
Author(s)
Liu, Fei Yan
Abstract
In the pursuit of economic development, environmental sustainability must be accorded significant importance. Implementing green transformation by enterprises is a crucial strategy for sustainable development. Green Supply Chain Management (GSCM) and Green Innovation (GI) are regarded as the most important practices for green transformation, and substantial evidence indicates that both practices can enhance corporate performance (environmental, economic, operational, and social performance) as well as competitive advantage. However, few studies have explored whether and how these two types of practices intersect and interact with each other.
To bridge this gap, this study employs the Interpretive Structural Modelling (ISM) method to reveal a hierarchical relationship between GSCM and GI practices. From the perspective of resource differences, it more clearly defines the components of behavioral GSCM and technical GSCM. It proposes a hypothesized model illustrating the relationships among behavioral GSCM, technical GSCM, and GI performance. The hypothesis was tested using structural equation modelling with data from 286 Chinese enterprises. The results show that both behavioral GSCM and technical GSCM can directly influence GI performance, and that behavioral GSCM can also indirectly affect GI performance through its impact on technical GSCM. Technical GSCM plays a partial mediating role in the relationship between behavioral GSCM and GI performance. Based on these findings, this paper proposes an integrated implementation pathway to synergize GSCM and GI for enterprise, offering practical recommendations.
To bridge this gap, this study employs the Interpretive Structural Modelling (ISM) method to reveal a hierarchical relationship between GSCM and GI practices. From the perspective of resource differences, it more clearly defines the components of behavioral GSCM and technical GSCM. It proposes a hypothesized model illustrating the relationships among behavioral GSCM, technical GSCM, and GI performance. The hypothesis was tested using structural equation modelling with data from 286 Chinese enterprises. The results show that both behavioral GSCM and technical GSCM can directly influence GI performance, and that behavioral GSCM can also indirectly affect GI performance through its impact on technical GSCM. Technical GSCM plays a partial mediating role in the relationship between behavioral GSCM and GI performance. Based on these findings, this paper proposes an integrated implementation pathway to synergize GSCM and GI for enterprise, offering practical recommendations.
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PhD Business-Dissertation - Feiyan Liu.pdf
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