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The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks

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...

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Autores principales: Gultekin, Beyza, Demir, Sercan, Gunduz, Mehmet Akif, Cura, Fatih, Ozer, Leyla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757651/
https://www.ncbi.nlm.nih.gov/pubmed/35043031
http://dx.doi.org/10.1016/j.cie.2022.107950
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author Gultekin, Beyza
Demir, Sercan
Gunduz, Mehmet Akif
Cura, Fatih
Ozer, Leyla
author_facet Gultekin, Beyza
Demir, Sercan
Gunduz, Mehmet Akif
Cura, Fatih
Ozer, Leyla
author_sort Gultekin, Beyza
collection PubMed
description 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.
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spelling pubmed-87576512022-01-14 The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks Gultekin, Beyza Demir, Sercan Gunduz, Mehmet Akif Cura, Fatih Ozer, Leyla Comput Ind Eng Article 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. Elsevier Ltd. 2022-03 2022-01-13 /pmc/articles/PMC8757651/ /pubmed/35043031 http://dx.doi.org/10.1016/j.cie.2022.107950 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Gultekin, Beyza
Demir, Sercan
Gunduz, Mehmet Akif
Cura, Fatih
Ozer, Leyla
The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title_full The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title_fullStr The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title_full_unstemmed The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title_short The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks
title_sort logistics service providers during the covid-19 pandemic: the prominence and the cause-effect structure of uncertainties and risks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757651/
https://www.ncbi.nlm.nih.gov/pubmed/35043031
http://dx.doi.org/10.1016/j.cie.2022.107950
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