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可持续供应链中的风险管理:知识图谱、逻辑图和概念模型的研究方向。

Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model.

机构信息

School of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026, China.

School of Management, Guangzhou University, Guangzhou, 150001, China.

出版信息

Environ Sci Pollut Res Int. 2022 Sep;29(44):66041-66067. doi: 10.1007/s11356-022-22255-x. Epub 2022 Aug 1.

DOI:10.1007/s11356-022-22255-x
PMID:35915306
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9342943/
Abstract

The global spread of COVID-19, international trade protectionism, geopolitical conflicts, and climate change presents challenges and risks to sustainable supply chains (SSCs). In recent years, scholarly interest in sustainable supply chain risk management (SSCRM) has continued to rise. A helpful literature review is necessary to enable supply chain practitioners to apply empirical findings from academic research or conceptual frameworks to their operations to maintain the stability and competitiveness of sustainable supply chains. The knowledge map of SSCRM is explored in this study using both quantitative and qualitative analysis. A total of 793 articles were retrieved to reveal the knowledge map of SSCRM. Scientometric and context analysis are combined in quantitative analysis to identify the intellectual structure of risk management research related to SSC. Then, a critical review is conducted in qualitative analysis to summarize and analyze the motivations, strategies, approaches, and tools of SSCRM. Combining the quantitative and qualitative analysis results, a conceptual model is constructed for SSCRM from three aspects: (1) risk identification, (2) risk assessment, and (3) risk mitigating and responding. Finally, future research directions are suggested based on the conceptual model for guiding the theories and practice of SSCRM. This study can work as a roadmap for providing appropriate risk management policies and toolkits to SSC, which could advance theoretical thinking on how to mitigate SSC risks.

摘要

新冠疫情在全球蔓延、国际贸易保护主义抬头、地缘政治冲突加剧以及气候变化等,对可持续供应链(SSC)带来了挑战和风险。近年来,学者对可持续供应链风险管理(SSCRM)的兴趣持续增加。为了使供应链从业者能够将学术研究的实证发现或概念框架应用于其运营中,以维持可持续供应链的稳定性和竞争力,有必要进行有益的文献综述。本研究采用定量和定性分析方法,探讨了 SSCRM 的知识图谱。共检索到 793 篇文章,以揭示 SSCRM 的知识图谱。定量分析中结合了科学计量学和情境分析,以识别与 SSC 风险管理研究相关的知识结构。然后,通过定性分析进行批判性回顾,总结和分析 SSCRM 的动机、策略、方法和工具。综合定量和定性分析结果,从(1)风险识别、(2)风险评估和(3)风险缓解和应对三个方面构建了 SSCRM 的概念模型。最后,根据概念模型提出了未来的研究方向,为 SSCRM 的理论和实践提供指导。本研究可以作为为 SSC 提供适当的风险管理政策和工具包的路线图,推进关于如何减轻 SSC 风险的理论思考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/6c1e7306a6b4/11356_2022_22255_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/6c1e7306a6b4/11356_2022_22255_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/2b3819e8f1cd/11356_2022_22255_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/b020604a4a74/11356_2022_22255_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/6d6e40cab52b/11356_2022_22255_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/5d9c50f49839/11356_2022_22255_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/75563a6602df/11356_2022_22255_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/5ea926d40eaa/11356_2022_22255_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/b423f1bfff91/11356_2022_22255_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/e6a9e797b1f8/11356_2022_22255_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/1c135b6204b4/11356_2022_22255_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/06882d38bceb/11356_2022_22255_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/a0b052ae5f1e/11356_2022_22255_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9342943/6c1e7306a6b4/11356_2022_22255_Fig16_HTML.jpg

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