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Volume 4, 2026 – Issue 2

Artificial Intelligence in Human Resource Management (2020 – 2025): A Bibliometric Analysis of Global Research Trends

Fahd Ben Kasmia 1 * and Leila El Asri 2

FSJES, Abdelmalek Essaâdi University, Tetouan, Morocco

* Corresponding author: fahd.benkasmia@etu.uae.ac.ma

DOI: 10.5281/zenodo.21727615

Abstract

The growing adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) is transforming HR practices in private sector organisations. In response to this evolution, this study conducts a bibliometric analysis to assess how far research on AI in HRM has developed and to provide a structured vision about the thematic for future HR researchers. The objective is to utilize this study as a benchmark approach for developing educational technics evaluate the implementation of AI in HRM, by mapping the current state of knowledge and to derive insights that can inform the future development of HR personnel and practices. A systematic literature review was carried out using the Web of Science database. After applying filters related to publication period (2020-2025), document type, subject areas, and open-access availability, a final sample of 230 articles and review articles was retained. Science-mapping techniques were used to analyse publication trends, authorship, sources, citations, countries, institutions, and keyword co-occurrence. The findings show a rapidly expanding and multidisciplinary field, with a strong focus on recruitment, employment processes, and performance management supported by AI. In contrast, topics related to governance, algorithmic bias, and legitimacy remain less central but are gaining increasing attention. By visualizing these patterns, the study provides a clear overview of the development and orientation of the field. In general, this research offers a learning perspective on AI in HRM, helping organisations and HR professionals better understand current trends and adapt their skills, roles, and practices to the evolving integration of AI in the workplace.

Keywords: AI, HR management, bibliometric analysis, recruitment, HR analytics, adoption 

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Published

2026/06/30

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Section

Research Papers

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Ben Kasmia, F., & El Asri, L. (2026). Artificial intelligence in human resource management (2020 – 2025): A bibliometric analysis of global research trends. The International Journal of Technology, Innovation, and Education, 4(2), 357–382. https://doi.org/10.5281/zenodo.21727615

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Ben Kasmia, Fahd, and Leila El Asri. 2026. “Artificial Intelligence in Human Resource Management (2020 – 2025): A Bibliometric Analysis of Global Research Trends.” The International Journal of Technology, Innovation, and Education 4 (2): 357–82. https://doi.org/10.5281/zenodo.21727615.

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Ben Kasmia, Fahd, and Leila El Asri. “Artificial Intelligence in Human Resource Management (2020 – 2025): A Bibliometric Analysis of Global Research Trends.” The International Journal of Technology, Innovation, and Education, vol. 4, no. 2, July 2026, pp. 357–82, https://doi.org/10.5281/zenodo.21727615.

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F. Ben Kasmia and L. El Asri, “Artificial intelligence in human resource management (2020 – 2025): A bibliometric analysis of global research trends,” The International Journal of Technology, Innovation, and Education, vol. 4, no. 2, pp. 357–382, Jul. 2026, doi: 10.5281/zenodo.21727615.

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Ben Kasmia, F. and El Asri, L. (2026) “Artificial intelligence in human resource management (2020 – 2025): A bibliometric analysis of global research trends,” The International Journal of Technology, Innovation, and Education, 4(2), pp. 357–382. Available at: https://doi.org/10.5281/zenodo.21727615.

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Ben Kasmia F, El Asri L. Artificial intelligence in human resource management (2020 – 2025): A bibliometric analysis of global research trends. The International Journal of Technology, Innovation, and Education [Internet]. 2026 July 30;4(2):357–82. Available from: https://ijtie.com/wp-content/uploads/2026/07/N40258.pdf

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Ben Kasmia, F., & El Asri, L. (2026). Artificial intelligence in human resource management (2020 – 2025): A bibliometric analysis of global research trends. The International Journal of Technology, Innovation, and Education, 4(2), 357–382. https://doi.org/10.5281/zenodo.21727615

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About the authors
  1. Fahd Ben Kasmia is a second-year PhD student at the Faculty of Legal, Economic and Social Sciences (FSJES), Tétouan, Morocco. His academic background lies at the intersection of management and information systems. His doctoral research focuses on topics related to these two complementary fields.
    fahd.benkasmia@etu.uae.ac.ma
    ↩︎
  2. Leila El Asri is an associate professor at the Faculty of Legal, Economic and Social Sciences (FSJES), Tétouan, Morocco. She oversees the progress of the PhD work and supports the scientific development and writing of the present article.
    Leelasri@uae.ac.ma
    ↩︎
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