Employee Well-Being in The Era of Artificial Intelligence: A Systematic Literature Review
Keywords:
Employee Well-Being; Artificial Intelligence; Technostress; Human Resource Management; Digital TransformationAbstract
Employee well-being has become a strategic issue in modern organizations due to its correlation with productivity, retention, and work performance. The rapid development of digital technology, particularly artificial intelligence (AI), has changed work processes, task structures, and patterns of interaction between employees and technology, presenting both new opportunities and challenges for employee well-being. This article aims to systematically examine the relationship between AI implementation and employee well-being in the context of modern organizations. The method used is a systematic literature review with reference to the PRISMA 2020 guidelines. Literature searches were conducted through the Scopus, Web of Science, Google Scholar databases, and relevant national sources. Through a gradual selection process, 38 articles published in the last eight years were obtained for qualitative analysis. In addition, bibliometric analysis using VOSviewer was used to map research trends, keyword correlations, and thematic clusters. The results of the study show that the application of AI has a dual impact on employee well-being. On the one hand, AI contributes to task optimization, reduction of routine workloads, and increased work efficiency. However, on the other hand, AI implementation that is not human-oriented can trigger technostress, job insecurity, and perceptions of excessive surveillance. These findings emphasize the importance of organizational policies, supportive leadership, and skills development in supporting sustainable AI integration.
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