İnsan Kaynakları Yönetimi’nde Yapay Zekâ: Trendler, Beklentiler ve Gelecek Araştırma Gündemi Üzerine Bibliyometrik Bir Analiz
Artificial Intelligence in Human Resource Management: A Bibliometric Analysis on Trends, Prospects and Future Research Agenda

Summary/Abstract: This study aims to reveal the general trends and intellectual structure of scientific research on artificial intelligence applications in Human Resource Management through bibliometric analysis. The fact that the subject is rapidly gaining importance in academic and sectoral terms makes it necessary to make a systematic evaluation to understand the effects of artificial intelligence in HRM processes. The 236 research data obtained from the Web of Science (WoS) database were analyzed using the “Bibliometrix” application programmed in R language. In this context, leading publications, authors, journals and countries on the subject are identified, research trends are revealed and future expectations are presented. The findings of the study show that research interest and the number of scientific publications on the subject have increased in recent years, with China and the US being the most productive countries. The application of artificial intelligence in recruitment processes and big data analytics are key trending concepts frequently used in research. The Internet of Things (IoT) theme shows the most recent research trend on the topic. Future research should consider the impact of AI on other HRM functions other than recruitment. The impact of AI in HRM on work engagement, gig, economic security, legal outlook and sustainable development have been identified as potential study topics for the future research agenda. The study provides an overview of the research scope and intellectual structure of the topic for those with a scientific and industry interest in the application of AI in HRM.

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