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Cited by 445

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Pandemics and Supply Chain Management Research: Toward a Theoretical Toolbox*

Open access
Craighead, Christopher W., Ketchen, David J., Darby, Jessica L.·2020·Decision Sciences
DOI 10.1111/deci.12468
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Abstract

The COVID‐19 pandemic paralyzed the world and revealed the critical importance of supply chain management—perhaps more so than any other event in modern history—in navigating crises. The extensive scope of disruption, massive spillover of effects across countries and industries, and extreme shifts in demand and supply that occurred during the COVID‐19 pandemic illustrate that pandemics are qualitatively different from typical disruptions. As such, pandemics require scholars to take a fresh look at what lenses offer understanding of supply chain phenomena in order to help supply chain managers better prepare for the next pandemic and foster transiliency (i.e., the ability to simultaneously restore some processes and change—often radically—others). To help scholars and managers achieve these aims, we offer an agenda for supply chain management research on pandemics by considering how the key tenets of well‐known and emergent theories can illuminate challenges and potential solutions. Specifically, we consider how resource dependence theory, institutional theory, resource orchestration theory, structural inertia, game theory, real options theory, event systems theory, awareness–motivation–capability framework, prospect theory, and tournament theory offer ideas that can help scholars build knowledge about pandemics’ effects on supply chains as well as help managers formulate responses.

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Metadata

Authors
Craighead, C. W., Ketchen, D. J., & Darby, J. L.
Venue
Decision Sciences
Publisher
Wiley
Published
2020-06-25
Volume
51
Issue
4
Pages
838-866
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
DOI
10.1111/deci.12468
OpenAlex
W3024840598
Cited by
445
References
64
FWCI
67.72
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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