Original title: A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice
The article reviews empirical studies of AI used at work. It sorts their findings into five themes, from people working with AI to AI being used to manage platform workers. It looks at influences at three levels: individual workers, groups, and organizations. The review also identifies directions for future research and gives leaders advice on using AI while considering employees' well-being.
Imagine a busy kitchen where cooks share tasks, follow instructions, and get judged on how well the work goes. It is hard to understand the effects of a new kitchen tool by asking only whether it makes cooking faster; it may also change teamwork, workers' feelings, and who gets assigned which jobs. In this paper, the kitchen tool stands for AI at work, and the review sorts evidence about its effects on workers, groups, and organizations.
Workers and organizational leaders are affected by AI in ways that go beyond speed or productivity. The review maps how AI relates to collaboration, worker attitudes, management, and labor markets, and offers leaders recommendations that prioritize employee well-being.
The abstract does not report the review's specific findings, the five research pathways, or the evidence behind its practical recommendations. It does not establish that AI improves productivity or harms workers; it reviews empirical research on implications of AI use at work.
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A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice — Sarah Bankins, Anna Carmella Ocampo, Mauricio Marrone et al. — Journal of Organizational Behavior — doi:10.1002/job.2735
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.