Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda
Aleem, Majid ; Sufyan, Muhammad ; Ameer, Irfan ; Mustak, Mekhail
2023
154
1-16
telework ; work at home ; human resources management ; epidemic disease ; work organization ; future of work ; artificial intelligence
Work organization
https://doi.org/10.1016/j.jbusres.2022.113303
English
Bibliogr.
"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."
Digital
The ETUI is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ETUI.