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在新冠疫情期间将绿色供应链管理实践与竞争力相联系:大数据分析的作用

Linking green supply chain management practices with competitiveness during covid 19: The role of big data analytics.

作者信息

Zhang Qingyu, Gao Bohong, Luqman Adeel

机构信息

Research Institute of Business Analytics and Supply Chain Management, College of Management, Shenzhen University, Nanshan District, Shenzhen, 518060, Guandong, China.

出版信息

Technol Soc. 2022 Aug;70:102021. doi: 10.1016/j.techsoc.2022.102021. Epub 2022 Jun 17.

DOI:10.1016/j.techsoc.2022.102021
PMID:36090699
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9439874/
Abstract

Although the global green supply chain management (GSCM) practice has attracted considerable scholarly attention, its efficacy for environmental management systems (EMS) and market competitiveness during Covid-19 has not been fully capitalized. Therefore, the existing literature indicates that the important link between GSCM, EMS, and market competitiveness is missing as supply management is crucial to maintaining market competitiveness. To fill this research gap, the current study examines whether EMS affects the relationship between GSCM practices and market competitiveness. We also propose the moderating role of big data analytics and artificial intelligence (BDA-AI) and environmental visibility on these associations from a Covid-19 perspective. We tested a proposed model using the primary data () from regression-based structural equation modeling (SEM). The results provide empirical support for the impact of GSCM on ESM and market competitiveness. Furthermore, the results show that BDA-AI and environmental visibility strengthen the positive relationship between GSCM-EMS and EMS and market competitiveness, respectively. Current research provides thoughtful insights for supply chain practitioners, policymakers, managers, and academics that organizations should opt for formal EMS, BDA-AI, and environmental visibility to achieve market competitiveness, even in times of crisis such as Covid-19.

摘要

尽管全球绿色供应链管理(GSCM)实践已引起了学术界的广泛关注,但其在新冠疫情期间对环境管理体系(EMS)和市场竞争力的功效尚未得到充分利用。因此,现有文献表明,由于供应管理对维持市场竞争力至关重要,GSCM、EMS和市场竞争力之间的重要联系缺失。为填补这一研究空白,本研究考察了EMS是否影响GSCM实践与市场竞争力之间的关系。我们还从新冠疫情的角度提出了大数据分析与人工智能(BDA-AI)以及环境可见性在这些关联中的调节作用。我们使用基于回归的结构方程模型(SEM)的原始数据对所提出的模型进行了检验。结果为GSCM对环境可持续管理(ESM)和市场竞争力的影响提供了实证支持。此外,结果表明,BDA-AI和环境可见性分别加强了GSCM-EMS以及EMS与市场竞争力之间的正向关系。当前研究为供应链从业者、政策制定者、管理人员和学者提供了深刻见解,即组织即使在新冠疫情这样的危机时期,也应选择正式的EMS、BDA-AI和环境可见性来实现市场竞争力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/5492ecc8e440/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/6a20fd0a00f1/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/f4ba462b3be4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/1651c4e20d6e/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/5492ecc8e440/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/6a20fd0a00f1/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/f4ba462b3be4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/1651c4e20d6e/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8300/9439874/5492ecc8e440/gr4_lrg.jpg

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