A bibliometric analysis of knowledge management research during COVID-19

Sanjay Fuloria, Ankur Srivastava and Umang Anand

International Journal of Knowledge and Learning, 2024, vol. 17, issue 2, 159-196

Abstract: This study conducts a bibliometric analysis of the knowledge management (KM) literature during COVID-19. It covers the research output in both Scopus and Web of Science databases during the period 2020 to 2022. Four hundred four research articles, conference papers, and conference proceedings' output were extracted from both Scopus and Web of Science databases. Biblioshiny tool from the R stable is used for this bibliometric analysis. The results show that there were 3.61 citations per document with an average of 1.66 citations per year. Almost 1,600 authors published on KM during this pandemic, with 97.7% of the published output having multiple authors and 90% of the authors have contributed to one article. COVID-19 pandemic is a good time to take stock of the KM literature. The KM literature more than doubled from 2020 to 2021.This study is comprehensive as far as the literature on KM is concerned during the COVID-19 pandemic.

Keywords: bibliometric analysis; COVID-19; knowledge management; Biblioshiny; thematic mapping; co-citations; science mapping analysis; collaboration network. (search for similar items in EconPapers)
Date: 2024
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