Title: Supply chain resilience under economic-political risk: a case of developing economy
Authors: Maryam Al Naimi; Mohd. Nishat Faisal; Rana Sobh
Addresses: College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar ' Department of Management and Marketing, College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar ' Department of Management and Marketing, College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar
Abstract: The 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.
Keywords: supply chain resilience; interpretive structural modelling; ISM; Qatar; economic-political risk.
DOI: 10.1504/IJLSM.2022.124233
International Journal of Logistics Systems and Management, 2022 Vol.42 No.3, pp.358 - 381
Received: 03 Nov 2019
Accepted: 08 Mar 2020
Published online: 18 Jul 2022 *