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

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragÖversiktsartikelPeer review

28 Citeringar (Scopus)

Sammanfattning

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.
OriginalspråkEngelska
Artikelnummer113303
Referentgranskad vetenskaplig tidskriftJournal of Business Research
Volym154
Antal sidor16
ISSN0148-2963
DOI
StatusPublicerad - 01.2023
MoE-publikationstypA2 Översiktsartikel i en vetenskaplig tidskrift

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