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Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis.
- Source :
- IISE Transactions; Dec2023, Vol. 55 Issue 12, p1256-1276, 21p
- Publication Year :
- 2023
-
Abstract
- This study examines the past, present, and future of Supply Chain Resilience (SCR) research in the context of COVID-19. Specifically, a total of 1717 papers in the SCR field are classified into 11 thematic clusters, which are subsequently verified by a supervised machine learning approach. Each cluster is then analyzed within the context of COVID-19, leading to the identification of three associated capabilities (i.e., interconnectedness, transformability, and sharing) on which firms should focus to build a more resilient supply chain in the post-COVID world. The derived insights offer invaluable guidance not only for practicing managers, but also for scholars as they design their future research projects related to SCR for greatest impact. [ABSTRACT FROM AUTHOR]
- Subjects :
- COVID-19 pandemic
THEMATIC analysis
COVID-19
SUPPLY chains
LITERATURE reviews
Subjects
Details
- Language :
- English
- ISSN :
- 24725854
- Volume :
- 55
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IISE Transactions
- Publication Type :
- Academic Journal
- Accession number :
- 171996117
- Full Text :
- https://doi.org/10.1080/24725854.2023.2176951