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Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry
Asia Pacific Management Review Pub Date : 2023-07-15 , DOI: 10.1016/j.apmrv.2023.06.001
Detcharat Sumrit , Orawan Jongprasittiphol

Supply chain disaster management (SCDM) has become a topic of interest for academicians and practitioners. Many businesses worldwide are experiencing disasters that disrupt their supply chains. This study attempts to identify the barriers to SCDM implementation and investigate their interrelationships. Fourteen barriers are identified through a broad literature review and certified by a panel of experts. The Fuzzy interpretative structural modeling (Fuzzy-ISM) approach is applied to construct a hierarchical model and identify the contextual relationships among SCDM barriers. Matrice d’ impacts croises-multiplication applique a classement (MICMAC) is deployed to categorize the 14 barriers into four actionable groups based on driving and dependence power. This study contributes to SCDM knowledge by identifying the main barriers to implementation and revealing their interrelationships. This empirical study uses an upstream supply chain in the Thai automotive industry. The results provide insight into the Thai automotive industry to alleviate barriers and efficiently and effectively manage resources while implementing SCDM. Finally, future research directions and theoretical and managerial implications are discussed.



中文翻译:


使用模糊总体解释结构建模方法探索供应链灾难管理中的障碍:来自泰国汽车行业的见解



供应链灾难管理(SCDM)已成为学者和实践者感兴趣的话题。全球许多企业正在经历破坏其供应链的灾难。本研究试图找出 SCDM 实施的障碍并调查它们之间的相互关系。通过广泛的文献综述确定了十四个障碍,并由专家小组进行了认证。应用模糊解释结构建模(Fuzzy-ISM)方法构建层次模型并识别 SCDM 障碍之间的上下文关系。部署影响乘法分类矩阵 (MICMAC),根据驱动力和依赖力将 14 种障碍分为四个可操作的组。这项研究通过确定实施的主要障碍并揭示它们之间的相互关系,为 SCDM 知识做出了贡献。本实证研究使用泰国汽车行业的上游供应链。研究结果提供了对泰国汽车行业的深入了解,以减少障碍并在实施 SCDM 的同时高效且有效地管理资源。最后,讨论了未来的研究方向以及理论和管理意义。

更新日期:2023-07-15
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