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

被引:29
作者
Aleem, Majid [1 ]
Sufyan, Muhammad [1 ]
Ameer, Irfan [2 ]
Mustak, Mekhail [3 ]
机构
[1] Univ Turku, Turku Sch Econ, Dept Mkt & Int Business, Rehtorinpellonkatu 3, Turku 20500, Finland
[2] Canterbury Christ Church Univ, Christ Church Business Sch, N Holmes Rd, Canterbury CT1 1QU, England
[3] Univ Lille, IESEG Sch Management, Dept Mkt & Sales Management, CNRS,UMR 9221 LEM, Lille, France
关键词
Remote work; Work from home; Employee; Organization; Human resource management; Literature review; SELF-EFFICACY; TELEWORK; TEAM; COMMUNICATION; IMPACT; HOME; COLLABORATION; TECHNOLOGIES; INFORMATION; MANAGEMENT;
D O I
10.1016/j.jbusres.2022.113303
中图分类号
F [经济];
学科分类号
02 ;
摘要
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, wellbeing, 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.
引用
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页数:16
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