Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda.
Journal article
Aleem, Majid, Sufyan, Muhammad, Ameer, Irfan and Mustak, Mekhail 2022. Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda. Journal of Business Research. 154, p. 113303. https://doi.org/10.1016/j.jbusres.2022.113303
Authors | Aleem, Majid, Sufyan, Muhammad, Ameer, Irfan and Mustak, Mekhail |
---|---|
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. [Abstract copyright: © 2022 Published by Elsevier Inc.] |
Keywords | Organization; Remote work; Human resource management; Employee; Literature review; Work from home |
Year | 2022 |
Journal | Journal of Business Research |
Journal citation | 154, p. 113303 |
Publisher | Elsevier |
ISSN | 0148-2963 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jbusres.2022.113303 |
https://doi.org/S0148-2963(22)00758-5 | |
Official URL | https://doi.org/10.1016/j.jbusres.2022.113303 |
Publication dates | |
Online | 21 Sep 2022 |
Publication process dates | |
Accepted | 03 Sep 2022 |
Deposited | 10 Oct 2022 |
Output status | Published |
Permalink -
https://repository.canterbury.ac.uk/item/92w4q/remote-work-and-the-covid-19-pandemic-an-artificial-intelligence-based-topic-modeling-and-a-future-agenda
153
total views1
total downloads1
views this month0
downloads this month