Publication Date
7-4-2022
Document Type
Article
Publication Title
International Journal of Supply Chain and Operations Resilience
Volume
5
Issue
2
DOI
10.1504/IJSCOR.2022.123902
First Page
185
Last Page
216
Abstract
COVID-19 best reminds us of how every pain that is felt by supply chains goes to impact production. An aggregated framework of supply chain risk analysis is needed. This research endeavoured to theoretically structure the inter-relationships among supply chain vulnerabilities as well as corresponding capacity factors to mitigate supply chain risks and sustain supply chain resilience. An inter-relationship structure among risk vulnerabilities was mapped. Capacity factors were matched with each vulnerability category using anecdotal evidence found from various news and literature databases relevant to supply chain resilience concepts. The derived capacity-vulnerability typology revealed links between vulnerability and capacity factors and a structural model for risk prioritisation in managing low-probability, high-impact risks (LPHIRs). Production businesses and professionals shall find our findings a focused guideline for efficiently and effectively building risk resilient capacities. An extensive empirical study of our model with more comprehensive databases will better validate our theoretical results.
Department
Global Innovation and Leadership
Recommended Citation
Ming Zhou, Shu Zhou, Tianqin Shi, and Taeho Park. "Matching risk vulnerabilities with capacities for building supply chain resilience – a theoretical framework for low-probability, high-impact risks" International Journal of Supply Chain and Operations Resilience (2022): 185-216. https://doi.org/10.1504/IJSCOR.2022.123902
Comments
This article has been accepted for publication in International Journal of Supply Chain and Operations Resilience, published by Inderscience. The version of record can be found here.