TY - JOUR
T1 - Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda
AU - Aleem, Majid
AU - Sufyan, Muhammad
AU - Ameer, Irfan
AU - Mustak, Mekhail
N1 - Funding Information:
We express our gratitude to the following foundations for their financial support towards this research: Kone Foundation, Finland; Foundation for Economic Eduction, Finland; Kaute Foundation, Finland; Jenny and Antti Wihuri Foundation, Finland; Marcus Wallenberg Foundation, Finland; and Paulo Fundation, Finland.
Funding Information:
We express our gratitude to the following foundations for their financial support towards this research: Kone Foundation , Finland; Foundation for Economic Eduction , Finland; Kaute Foundation , Finland; Jenny and Antti Wihuri Foundation , Finland; Marcus Wallenberg Foundation , Finland; and Paulo Fundation , Finland.
Publisher Copyright:
© 2022
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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.
KW - 512 Business and Management
KW - remote work
KW - work from home
KW - employee
KW - organization
KW - human resource management
KW - literature review
UR - http://www.scopus.com/inward/record.url?scp=85144121297&partnerID=8YFLogxK
U2 - 10.1016/j.jbusres.2022.113303
DO - 10.1016/j.jbusres.2022.113303
M3 - Review Article
SN - 0148-2963
VL - 154
JO - Journal of Business Research
JF - Journal of Business Research
M1 - 113303
ER -