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Bibliometric analysis reveals research trends in artificial intelligence in HRM, highlighting collaboration gaps.
Purpose : The study focused on identifying the research trends in artificial intelligence applications in human resource management. It highlighted notable contributions to the research domain. Research Method : The study conducted a bibliometric analysis on the Scopus database to understand the growth of literature over the last two decades and identify significant contributors. Since the study aimed to examine the recent developments in the human resource function concerning artificial intelligence, the research work from the last two decades was analyzed. Findings : The paper highlighted the growth of literature on AI implementation in HRM after 2018 and the participation of different countries in the research domain. However, it found a lack of collaboration among authors from different countries. The research also identified important keywords, highly cited authors, and the impact of prominent journals in the field, which could help scholars investigating the domain. Originality : The study is unique in itself as it considers an extensive range of literature. The paper identified key papers, authors, and countries in the field. Additionally, we highlighted major themes within the literature, revealing commonly studied subtopics.
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Shukla et al. (2025) studied this question.
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