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The aim of this paper is to summarize the current state, knowledge and research trends on artificial intelligence in the area of its impact on the well-being, satisfaction, trust and engagement of employees in the enterprise. Understanding these relationships between AI-based decision-making and the well-being and engagement of employees in the enterprise will be crucial in the near future in designing artificial intelligence systems that should be not only effective but also ethical. In this context, this study aims to reveal the current state and trends in published studies of publications on the integration of AI in enterprises and its impact on employee satisfaction, engagement and trust in human resource management through a bibliometric review. For this purpose, 94 publications on this topic were identified in the Web of Science (WoS) database and bibliometric analyses were performed using the software tool VOSviewer. These analyses resulted in bibliometric data such as the number of publications and citations by year, most cited authors, countries, publications, their collaborations, WoS categories, and content information regarding the topics and objectives of the studies. It was found that publications on AI in human resource management in the context of employee well-being, satisfaction, and engagement started to appear as early as 2018, but a more intense increase was only seen in 2020, and they continued to develop into a new research area. The potential gaps indicated by the findings of this study will guide future research and development in the relevant sectors.
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