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AuthorNaimi, Maryam Al
AuthorFaisal, Mohd Nishat
AuthorSobh, Rana
Available date2023-05-03T05:36:23Z
Publication Date2022
Publication NameInternational Journal of Logistics Systems and Management
ResourceScopus
URIhttp://dx.doi.org/10.1504/IJLSM.2022.124233
URIhttp://hdl.handle.net/10576/42229
AbstractThe aim of this study was to identify enablers of supply chain resilience to economic-political risks and establish the relationships among them using interpretive structural modelling. A comprehensive review of the literature was followed by input from experts from industry and academia to develop a hierarchical model. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to classify enablers into four categories. The results identified key variables that would help develop resilient supply chains to successfully mitigate economic-political risks in a developing economy under a blockade. The study contributes to literature on supply chain resilience by studying it in a new context and under a previously unexplored influence. 2022 Inderscience Enterprises Ltd.. All rights reserved.
SponsorRana Sobh is a Professor of Marketing at the College of Business and Economics at Qatar University. She received her PhD in Marketing from the University of Auckland, New Zealand, in 2006. During her work at the Qatar University, she received several grants from Qatar National Research Fund. Her work in the area of consumer culture theory and international marketing communication was published in reputable international journals.
Languageen
PublisherInderscience Publishers
Subjecteconomic-political risk
interpretive structural modelling
ISM
Qatar
supply chain resilience
TitleSupply chain resilience under economic-political risk: A case of developing economy
TypeArticle
Pagination358-381
Issue Number3
Volume Number42
dc.accessType Abstract Only


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