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Transforming human resource practices through AI-driven HRIS: a two-decade bibliometric and systematic review

Author

Listed:
  • Mohan Kumar
  • Mohit Yadav
  • Nisha Yadav
  • Huyen Thanh Mai
  • Dat Duy Nguyen
  • Uyen Minh Thi Pham
  • Nilesh Kumar Tiwari
  • Azadeh Amoozegar

Abstract

This study explores the integration of artificial intelligence (AI) into human resource information systems (HRIS) and its transformative impact on both strategic and operational aspects of human resource management. Employing a bibliometric and systematic literature review, the research analysed 319 peer-reviewed articles published between 2002 and 2025, sourced from the Scopus database. VOSviewer and Biblioshiny facilitated co-authorship analysis, keyword mapping, thematic evolution, and cluster-based network visualisation. The findings reveal a significant surge in AI-HRIS research post-2022, largely driven by advancements in generative AI and predictive analytics. India emerged as a central hub in global collaborations, especially with Gulf and Southeast Asian nations. Thematic mapping shows a shift from traditional HR automation to more advanced areas such as algorithmic decision-making, ethical AI, and employee sentiment analysis. As one of the first integrated reviews in this domain, the study offers valuable insights for scholars, HR professionals, and developers navigating AI-driven HR transformation.

Suggested Citation

  • Mohan Kumar & Mohit Yadav & Nisha Yadav & Huyen Thanh Mai & Dat Duy Nguyen & Uyen Minh Thi Pham & Nilesh Kumar Tiwari & Azadeh Amoozegar, 2026. "Transforming human resource practices through AI-driven HRIS: a two-decade bibliometric and systematic review," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 52(6), pages 1-34.
    • Handle: RePEc:ids:ijbisy:v:52:y:2026:i:6:p:1-34
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