| Title | Creating a greener future: the crucial role of green innovation and supply chain management in corporate sustainability |
|---|---|
| ID_Doc | 30868 |
| Authors | Gong, YQ |
| Title | Creating a greener future: the crucial role of green innovation and supply chain management in corporate sustainability |
| Year | 2023 |
| Published | Environmental Science And Pollution Research, 30, 56 |
| Abstract | One of the most pressing concerns today is how to improve green innovation and supply chain management for company sustainability. It has been discovered that inefficient supply chain management is a major barrier limiting eco-friendly innovation. The supply chain management process is crucial to a company's long-term viability, yet previous research barely scratched the surface of its significance. This article uses a resource-based view to investigate how integrating green innovation and organizational agility into the supply chain management process contributes to the long-term success of businesses. This study used a cross-sectional approach. Structured equation modeling was used to examine data collected through convenience sampling from 475 employees of Chinese multinational manufacturing enterprises. Green innovation helps smooth over the bumps on the road between supply chain management and sustainable business results. Green innovation and business sustainable performance also benefit from organizational agility, which was not shown to moderate this relationship. The study teaches that in today's knowledge-based economy, firms that invest in novel technologies and adopt greener strategies are better able to address sensitive issues like supply chain management and organizational agility and achieve long-term success. This research aims to provide light on the complex interconnections between supply chain management, green innovation, and the sustainable performance of businesses. The theoretical framework for the present research was validated by the occurrence of a positive association between these variables. |
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