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A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption

Vanany, Iwan; Ali, Helmi; Tan, Kim Hua; Kumar, Ajay; Siswanto, Nurhadi

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Authors

Iwan Vanany

Helmi Ali

KIM TAN kim.tan@nottingham.ac.uk
Professor of Operations and Innovation Management

Ajay Kumar

Nurhadi Siswanto



Abstract

This article aims to explore the supply chain (SC) resilience capabilities of firms, focusing on their ability to respond to the COVID-19 pandemic disruption. Based on two cases each in the pharmaceutical and mineral water industries, this article identifies various strategies managers mobilized to tackle SC disruptions during the COVID-19 pandemic. This article contributes to theory through a proposed double-helix framework showing the dimension of disruptions and the capabilities concept to mitigate COVID-19. In addition, an in-depth investigation of the perceived importance versus actual SC resilience capabilities deployed is discussed and validated with practitioners. The findings of this article also address a critical gap in the SC operations management literature and provide a practical approach for managers to better manage future pandemic disruptions.

Citation

Vanany, I., Ali, H., Tan, K. H., Kumar, A., & Siswanto, N. (2021). A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption. IEEE Transactions on Engineering Management, 1-15. https://doi.org/10.1109/TEM.2021.3116068

Journal Article Type Article
Acceptance Date Sep 24, 2021
Online Publication Date Oct 13, 2021
Publication Date Oct 13, 2021
Deposit Date Nov 1, 2021
Publicly Available Date Nov 2, 2021
Journal IEEE Transactions on Engineering Management
Print ISSN 0018-9391
Electronic ISSN 1558-0040
Peer Reviewed Peer Reviewed
Pages 1-15
DOI https://doi.org/10.1109/TEM.2021.3116068
Keywords Capability; case study; COVID-19; digitalization; disruption; resilience; supply chain
Public URL https://nottingham-repository.worktribe.com/output/6605509
Publisher URL https://ieeexplore.ieee.org/document/9569218
Additional Information © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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