Research lines on the impact of the COVID-19 pandemic on business. A text mining analysis

Patricia Carracedo, Rosa Puertas and Luisa Marti

Journal of Business Research, 2021, vol. 132, issue C, 586-593

Abstract: COVID-19 has brought about a marked slowdown in global economic development. Companies have been forced to adopt new managerial guidelines to adapt to the difficult conditions and to survive in this “new normal”. The recent and still scarce literature in this field seeks to provide suitable solutions to prevent irreparable disruption and help strengthen business, but does not apply advanced statistical methods to that end. The aim of this paper is to identify the current research lines developed around COVID-19 and their impact on the business environment, applying text mining methodology. The analysis, which uses statistical software R, focuses on systematic review of studies published in prestigious journals of business and marketing areas. In light of the results obtained, three different areas of intervention were identified. The common thread that runs through all of them is the need to introduce new forms of action to improve citizens' quality of life.

Keywords: COVID-19; Text mining; Cluster; Business; Marketing (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:132:y:2021:i:c:p:586-593

DOI: 10.1016/j.jbusres.2020.11.043

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