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

IF 3.7 Q2 MANAGEMENT Supply Chain Forum Pub Date : 2023-10-15 DOI:10.1080/16258312.2023.2253523
Mohammad Reza Khodoomi, Marziye Seif, Thomas Hanne
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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.
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2019冠状病毒病大流行对供应链管理的影响和挑战:文本分析方法
冠状病毒对供应链和物流产生了许多影响,其中大多数是负面的。由于物流和供应链在世界上的重要性,任何中断或管理不善都会导致许多问题,不仅在直接受影响的国家,而且在全球范围内。本文从信誉良好的商业和新闻网站收集了有关COVID-19对物流和供应链影响的新文本数据。在收集文本数据后,使用使用R编程执行的各种文本挖掘技术提取有关冠状病毒影响的有价值信息。最后,确定了与COVID-19和供应链相关的问题,并将其分为五类:供应商和产品、政府和组织、健康、评估、问题和障碍。此外,对供应链和物流的问题和限制进行分类将提供管理见解,以最大限度地减少障碍和中断。特别是,管理人员应该考虑几个供应商,以减少依赖性,并由于运输限制而将重点放在国内供应商上。此外,公司应该关注社会的健康和采用新的政策,以及关注消费者的行为,如他们倾向于在网上购买。
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来源期刊
Supply Chain Forum
Supply Chain Forum Business, Management and Accounting-Business and International Management
CiteScore
8.30
自引率
0.00%
发文量
34
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