供应链运营中可持续措施实施的风险评估:一种模糊Delphi-DEMATEL方法

IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Venkateswarlu Nalluri , K. Meghana Chowdary , Long-Sheng Chen
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引用次数: 0

摘要

由于风险管理框架不统一、监管不确定性、基础设施瓶颈和资源限制,印度等发展中国家的可持续供应链运营面临重大挑战,这些问题阻碍了可持续措施的有效实施。一个关键的问题是,在影响可持续性倡议的风险之间缺乏系统的理解和明确界定的因果关系。本研究旨在全面评估与供应链运营中可持续措施实施相关的这些风险之间的因果关系。通过全面系统的文献综述确定关键风险因素,并使用模糊德尔菲法(FDM)进行验证。进一步,使用模糊DEMATEL方法检验KRFs之间的因果关系。研究结果证实,技术和工艺导入困难、市场竞争、客户期望变化是主要风险。管理和运营,物流和基础设施被确定为次要风险。本研究通过结合模糊Delphi-DEMATEL方法,识别krf并评估其在供应链运营中实施可持续措施中的因果关系。通过对krf之间的结构性影响进行建模,该研究为服务供应链运营商设计有针对性的风险缓解策略提供了实用见解。这些见解对于支持在印度供应链的独特背景下采用可持续实践至关重要。本研究利用模糊Delphi-DEMATEL方法对服务型供应链中krf之间利益相关者驱动的因果关系进行了全面识别和分类,从而对现有文献进行了补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk evaluation in the implementation of sustainable measures in the supply chain operations: A Fuzzy Delphi-DEMATEL approach
Sustainable supply chain operations in developing countries like India face significant challenges due to fragmented risk management frameworks, regulatory uncertainty, infrastructural bottlenecks, and resource limitations, these issues hinder the effective implementation of sustainable measures. A critical problem is the lack of a systematic understanding and clearly defined causal relationships among the risks that impact sustainability initiatives. This study aims to holistically evaluate the causal relationships between these risks associated with the implementation of sustainable measures in supply chain operations. Key Risk Factors (KRFs) were identified through a thorough systematic literature review and validated using the Fuzzy Delphi Method (FDM). Further, to examine the causal relationship among KRFs used the Fuzzy DEMATEL method. This study result was confirmed that difficulty in importing technology and process, market competition, and changes customer in expectations are major risks. The management and operational, and logistics and infrastructural were determined as minor risks. This study contributes by identifying KRFs and evaluating their causal relationships in the implementation of sustainable measures within supply chain operations, through a combined Fuzzy Delphi–DEMATEL approach. By modelling the structural influence among KRFs, the study provides practical insights for service supply chain operators to design targeted risk mitigation strategies. These insights are vital for supporting the adoption of sustainable practices in the unique context of India’s supply chains. This research adds to the existing literature by comprehensively identifying and classifying stakeholder-driven causal relationships among KRFs in service-oriented supply chains using Fuzzy Delphi–DEMATEL approach.
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