远程工作与新冠疫情：基于人工智能的主题建模及未来议程
Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda.
作者信息
Aleem Majid, Sufyan Muhammad, Ameer Irfan, Mustak Mekhail
机构信息
Department of Marketing and International Business, Turku School of Economics, University of Turku, Rehtorinpellonkatu 3, 20500 Turku, Finland.
Christ Church Business School, Canterbury Christ Church University, N Holmes Rd, Canterbury CT1 1QU, UK.
出版信息
J Bus Res. 2023 Jan;154:113303. doi: 10.1016/j.jbusres.2022.113303. Epub 2022 Sep 21.
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.
在新冠疫情期间，远程工作变得比以往任何时候都更加普遍，这引起了学者们的特别关注。然而，研究结果却非常零散且碎片化。在我们的系统综述中，我们使用基于人工智能的机器学习工具，从其主导主题、多样性和动态性方面来审视相关的现有文献。我们的研究结果确定了八个研究主题：（1）对员工个人层面的影响；（2）对员工职业的影响；（3）家庭生活与性别角色；（4）健康、幸福与安全；（5）劳动力市场动态；（6）经济影响；（7）远程工作管理；（8）组织远程工作策略。通过进一步的内容分析，我们将零散的研究归纳为三个总体类别。最后，针对每个类别，我们提供了详细的进一步研究议程。
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