Effects and challenges of the COVID-19 pandemic in supply chain management: a text analytics approach

Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Supply Chain Forum
Special issue
DOI of the original publication
Link
Series
Series number
Volume
25
Issue / Number
4
Pages / Duration
486-503
Patent number
Publisher / Publishing institution
Taylor & Francis
Place of publication / Event location
London
Edition
Version
Programming language
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Practice partner / Client
Abstract
The coronavirus has had many effects on supply chains and logistics, most of which are negative. Due to the importance of logistics and supply chain in the world, any disruption or mismanagement causes many problems not only in the countries directly affected but also globally. In this article, new textual data are collected from reputable commercial and news websites related to the effects of COVID-19 on logistics and supply chains. After collecting textual data, valuable information about the impact of the coronavirus is extracted using various text mining techniques performed with R programming. Finally, issues related to COVID-19 and supply chains are identified and divided into five categories: suppliers and products, governments and organisations, health, evaluation, problems, and barriers. Also, categorising the problems and limitations of supply chains and logistics will provide managerial insights to minimise obstacles and disruptions. In particular, managers should consider several suppliers to reduce dependencies and also focus on domestic suppliers because of transportation limitations. Moreover, companies should pay attention to the health of societies and employ new policies, as well as pay attention to consumer behaviour such as their tendency to buy online.
Keywords
Subject (DDC)
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1625-8312
1624-6039
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
Khodoomi, M. R., Seif, M., & Hanne, T. (2024). Effects and challenges of the COVID-19 pandemic in supply chain management: a text analytics approach. Supply Chain Forum, 25(4), 486–503. https://doi.org/10.1080/16258312.2023.2253523