Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda

Majid Aleem*, Muhammad Sufyan, Irfan Ameer, Mekhail Mustak

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

24 Citations (Scopus)

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.
Original languageEnglish
Article number113303
Peer-reviewed scientific journalJournal of Business Research
Volume154
Number of pages16
ISSN0148-2963
DOIs
Publication statusPublished - 01.2023
MoE publication typeA2 Review article in a scientific journal

Keywords

  • 512 Business and Management
  • remote work
  • work from home
  • employee
  • organization
  • human resource management
  • literature review

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