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.

中文翻译：

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远程工作和 COVID-19 大流行：基于人工智能的主题建模和未来议程

在 COVID-19 大流行期间，远程工作变得比以往任何时候都更加普遍，因此引起了学者们的特别关注。然而，结果却非常分散和分散。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来检查相关现有文献的主导主题、多样性和动态性。我们的结果确定了八个研究主题：(1) 对员工个人层面的影响，(2) 对员工职业生涯的影响，(3) 家庭生活和性别角色，(4) 健康、福祉和安全，( 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，我们将零星研究分为三个总体类别。最后，对于每个类别，我们都提供了进一步研究的详细议程。