The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks.
COVID-19 pandemic
Fuzzy DEMATEL
In-depth interviews
Logistics service providers
Risk
Uncertainty
Journal
Computers & industrial engineering
ISSN: 1879-0550
Titre abrégé: Comput Ind Eng
Pays: England
ID NLM: 101729445
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
21
05
2021
revised:
12
11
2021
accepted:
10
01
2022
pubmed:
20
1
2022
medline:
20
1
2022
entrez:
19
1
2022
Statut:
ppublish
Résumé
Uncertainties and risks play a central role in creating vulnerabilities for logistics service operations. Over the years, Logistic Service Providers (LSPs) have learned how to ensure resilience to confront uncertainties and risks triggered by adverse events. However, quite unlike any seen in recent times, the COVID-19 pandemic brings about unavoidable uncertainties and risks for the logistics industry. Yet, there is no common approach to contextualize how they interact together. We incorporate an empirical research design and make a threefold contribution: first, we identify uncertainties and risks that LSPs encounter during the COVID-19 pandemic and investigate their prominence. Second, we unveil intertwined schemes of afore-identified uncertainties and risks and augment the understanding of their cause-effect structure. Third, we provide an uncertainty and risk assessment guideline for LSPs affected by threats emerging from unforeseeable crises. In this study, we combine qualitative work and the fuzzy DEMATEL method. Qualitative thematic analysis of in-depth interviews reveals the most important uncertainties (COVID-19 measures, employee welfare, forecast horizon, demand change, and government regulations) and risks (COVID-19 risk, delivery delays, supply chain disruptions, financial failure, and product returns) for LSPs. The fuzzy DEMATEL method shows that COVID-19 measures and COVID-19 risk are highly prominent and influence other factors. The results indicate that demand change, government regulations, and supply chain disruptions are net causers, and employee welfare, financial failure, forecast horizon, delivery delays, and product returns are net receivers. Distinctly, employee welfare is the most affected factor, empirically confirming that major risks for LSPs are related to the human factor. More investigation in our results suggests that supply chain disruptions and demand change, two factors triggered by the COVID-19 pandemic, influence financial failure and forecast horizon, two factors associated with operational performance.
Identifiants
pubmed: 35043031
doi: 10.1016/j.cie.2022.107950
pii: S0360-8352(22)00020-1
pmc: PMC8757651
doi:
Types de publication
Journal Article
Langues
eng
Pagination
107950Informations de copyright
© 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.