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Supply Chain Management for Extreme Conditions: Research Opportunities

Sodhi, M. ORCID: 0000-0002-2031-4387 & Tang, C.S. (2020). Supply Chain Management for Extreme Conditions: Research Opportunities. Journal of Supply Chain Management, 57(1), pp. 7-16. doi: 10.1111/jscm.12255


Large companies were concerned about their supply chains with environmental and social sustainability and disruption from natural disasters, conflict, and trade disagreements even before the advent of Covid-19. The additional challenges presented by Covid-19 in 2020 are “extreme” in being distinct from supply chain risk in that not just particular companies, but also entire societies are affected. Therefore, it is appropriate to rethink supply chain management (SCM) for research and practice to cope with extreme conditions, now and in the future, whether due to pandemics, war, climate change, or biodiversity collapse. In this essay, we first present the widespread challenges, along with some of the responses. We then list research opportunities for supply chain management in extreme conditions. These opportunities pertain to retailers’ survival in the face of highly successful e-commerce giants and the mixed use of robots and human workers. There are also opportunities to share supply-chain capacity in distribution and coopetition regarding medically necessary items such as anti-virals or vaccines. The growing role of government in supporting business, including the creation of industry commons, also presents avenues for further research.

Publication Type: Article
Additional Information: This is the peer reviewed version of the following article: Sodhi, M. and Tang, C.S. (2020). Supply Chain Management for Extreme Conditions: Research Opportunities. Journal of Supply Chain Management, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Publisher Keywords: General management issues; electronic commerce; partnering
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments: Bayes Business School > Management
SWORD Depositor:
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