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Stepping into the Era of Artificial Intelligence in Human Resource Management: A Qualitative Study on Professionals’ Experiences

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  • Fatma Zehra Yıldız

    (Tarsus University)

Abstract

The aim of this study is to thoroughly examine the experiences of human resources professionals in Türkiye with artificial intelligence (AI) applications within the framework of human resources functions. The research was structured using a qualitative methodology. Participants in the study consisted of human resources professionals working in private sector organizations in Türkiye. The data were analyzed using thematic analysis. This study shows that AI applications in human resources are still in the development phase, that participants are increasingly turning to these technologies, but that human interaction is still indispensable in digital processes. The results of the study show that AI and generative AI are used in recruitment, training, performance management, operational processes, and human resources analytics. It has been revealed that AI applications are particularly concentrated in the recruitment function. According to the study, human resources professionals view AI not as a competitor but as a complementary tool that lightens their workload. This study aims to contribute to the literature and practitioners in this field by presenting experiences related to AI-powered talent hunting, video interview analysis, improving employee experience, candidate prediction, and predicting employee turnover.

Suggested Citation

  • Fatma Zehra Yıldız, 2026. "Stepping into the Era of Artificial Intelligence in Human Resource Management: A Qualitative Study on Professionals’ Experiences," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, vol. 17(1), pages 151-168, January.
  • Handle: RePEc:ris:buecrj:022155
    DOI: 10.20409/berj.2026.491
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    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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