Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)

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




Julkaisun tekijätAleem Majid, Sufyan Muhammad, Ameer Irfan, Mustak Mekhail

KustantajaElsevier (Commercial Publisher)

Julkaisuvuosi2023

JournalJournal of Business Research

Artikkelin numero113303

Volyymi154

eISSN1873-7978

DOIhttp://dx.doi.org/10.1016/j.jbusres.2022.113303

Verkko-osoitehttps://doi.org/10.1016/j.jbusres.2022.113303

Rinnakkaistallenteen osoitehttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489997/


Tiivistelmä

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.


Last updated on 2023-05-12 at 10:49