A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry

Nighat Afroz Chowdhury, Syed Mithun Ali, Zuhayer Mahtab, Towfique Rahman, Golam Kabir and Sanjoy Kumar Paul

Journal of Retailing and Consumer Services, 2019, vol. 51, issue C, 102-113

Abstract: In today's business world, supply chain networks are becoming increasingly prone to uncertainties and complexities. The supply chain network of the ready-made garment (RMG) industry in Bangladesh is global in nature and is therefore vulnerable to increased risks and disruptions. This paper identifies potential supply chain risks and analyzes the interactions. To achieve this, a hierarchical structural model was developed through the application of an interpretive structural modeling (ISM) approach. Moreover, MICMAC (Matriced’ Impacts Cruoses Multiplication Applique a un Classement) analysis was conducted to classify the risks based on driving and dependence power. Findings revealed that disruption risk was the most influential risk in the RMG industry. The results of this study will guide industrial managers to take remedial measures to mitigate the supply chain risks in the apparel industry.

Keywords: Supply chain; Supply chain risk management; ISM; MICMAC; Readymade garment industry (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:51:y:2019:i:c:p:102-113

DOI: 10.1016/j.jretconser.2019.05.024

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