Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry
14
Issued Date
2023-01-01
Resource Type
ISSN
10293132
Scopus ID
2-s2.0-85165121787
Journal Title
Asia Pacific Management Review
Rights Holder(s)
SCOPUS
Bibliographic Citation
Asia Pacific Management Review (2023)
Suggested Citation
Sumrit D., Jongprasittiphol O. Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry. Asia Pacific Management Review (2023). doi:10.1016/j.apmrv.2023.06.001 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/88095
Title
Exploring barriers in supply chain disaster management using fuzzy total interpretative structure modeling approach: Insight from Thai automotive industry
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
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.