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

Chowdhury, NA; Ali, SM; Mahtab, Z; Rahman, T; Kabir, G; Paul, SK

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

Chowdhury, NA Ali, SM Mahtab, Z Rahman, T Kabir, G Paul, SK

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Publication Type:: Journal Article
Citation:: Journal of Retailing and Consumer Services, 2019, 51 pp. 102 - 113
Issue Date:: 2019-11-01

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Field	Value	Language
dc.contributor.author	Chowdhury, NA	en_US
dc.contributor.author	Ali, SM	en_US
dc.contributor.author	Mahtab, Z	en_US
dc.contributor.author	Rahman, T	en_US
dc.contributor.author	Kabir, G	en_US
dc.contributor.author	Paul, SK https://orcid.org/0000-0001-9523-179X	en_US
dc.date.available	2019-05-28	en_US
dc.date.issued	2019-11-01	en_US
dc.identifier.citation	Journal of Retailing and Consumer Services, 2019, 51 pp. 102 - 113	en_US
dc.identifier.issn	0969-6989	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133745
dc.description.abstract	© 2019 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.	en_US
dc.relation.ispartof	Journal of Retailing and Consumer Services	en_US
dc.relation.isbasedon	10.1016/j.jretconser.2019.05.024	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Marketing	en_US
dc.title	A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry	en_US
dc.type	Journal Article
utslib.citation.volume	51	en_US
utslib.for	1503 Business and Management	en_US
utslib.for	1505 Marketing	en_US
utslib.for	1506 Tourism	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-06-01T00:00:00+1000
pubs.publication-status	Published	en_US
pubs.volume	51	en_US

Abstract:

© 2019 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.

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http://hdl.handle.net/10453/133745