 Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agendaMajid Aleem, Muhammad Sufyan, Irfan Ameer and Mekhail Mustak Journal of Business Research, 2023, vol. 154, issue C Abstract: As remote work has become more common than ever throughout the COVID-19 pandemic, it has drawn special attention from scholars. However, the outcome has been significantly sporadic and fragmented. In our systematic review, we use artificial intelligence-based machine learning tools to examine the relevant extant literature in terms of its dominant topics, diversity, and dynamics. Our results identify-eight research themes: (1) Effect on employees at a personal level, (2) Effect on employees’ careers, (3) Family life and gender roles, (4) Health, well-being, and safety, (5) Labor market dynamics, (6) Economic implications, (7) Remote work management, (8) Organizational remote work strategies. With further content analysis, we structure the sporadic research into three overarching categories. Finally, for each category, we offer a detailed agenda for further research. Keywords: Remote work; Work from home; Employee; Organization; Human resource management; Literature review (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:154:y:2023:i:c:s0148296322007585 DOI: 10.1016/j.jbusres.2022.113303 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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