The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach
Open accessAbstract
The COVID-19 pandemic has been labeled as a black swan event that caused a ripple effect on every aspect of human life. Despite the short time span of the pandemic—only four and half months so far—a rather large volume of research pertaining to COVID-19 has been published (107 articles indexed in Scopus and the Web of Science). This article presents the findings of a bibliometric study of COVID-19 literature in the business and management domain to identify current areas of research and propose a way forward. The analysis of the published literature identified four main research themes and 18 sub-themes. The findings and propositions of this study suggest that COVID-19 will be the catalyst of several long- and short-term policy changes and requires the theoretical and empirical attention of researchers. The offered propositions will act as a roadmap to potential research opportunities.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Effects of COVID-19 on business and research
Donthu, N., & Gustafsson, A. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.06.008 · Cited by 2,098
Self-citationChesbrough, H. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.04.010 · Cited by 664
Cited by
How to conduct a bibliometric analysis: An overview and guidelines
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.070 · Cited by 14,329
Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020
“As a result of the discussions and following the recent trends in research (e.g. Byun et al., 2020; Kotler et al., 2019; Mahroof, 2019; Verma and Gustafsson, 2020), this study further recommends the following research propositions to be explored in future research.”
COVID-19 and Digitalization: The Great Acceleration
Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.08.011 · Cited by 947
Bibliometric analysis: The main steps
Passas, I. (2024) · Encyclopedia · doi:10.3390/encyclopedia4020065 · Cited by 842
The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective
Eger, L., Komárková, L., Egerová, D., & Mičík, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102542 · Cited by 531
Metadata
- Authors
- Verma, S., & Gustafsson, A.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 118
- Pages
- 253-261
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3038273726
- Cited by
- 1,092
- References
- 4
- FWCI
- 146.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.06.057
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
