{"title":"用模糊整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启示","authors":"Detcharat Sumrit, Orawan Jongprasittiphol","doi":"10.1016/j.apmrv.2023.06.001","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 1","pages":"Pages 84-103"},"PeriodicalIF":5.5000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223000568/pdfft?md5=1244832788a833439a1a013f4a3f8054&pid=1-s2.0-S1029313223000568-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry\",\"authors\":\"Detcharat Sumrit, Orawan Jongprasittiphol\",\"doi\":\"10.1016/j.apmrv.2023.06.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":46001,\"journal\":{\"name\":\"Asia Pacific Management Review\",\"volume\":\"29 1\",\"pages\":\"Pages 84-103\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2023-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1029313223000568/pdfft?md5=1244832788a833439a1a013f4a3f8054&pid=1-s2.0-S1029313223000568-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia Pacific Management Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1029313223000568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia Pacific Management Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1029313223000568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry
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.
期刊介绍：
Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles and notes that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish short communications and opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.
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