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

Mohan Kumar, Mohit Yadav, Nisha Yadav, Huyen Thanh Mai, Dat Duy Nguyen, Uyen Minh Thi Pham, Nilesh Kumar Tiwari and Azadeh Amoozegar

International Journal of Business Information Systems, 2026, vol. 52, issue 6, 1-34

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.

Keywords: artificial intelligence; AI; HR practices; quality jobs; human resource information systems; HRIS; bibliometric analysis; thematic evolution. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.inderscience.com/link.php?id=154988 (text/html)
Open Access

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:52:y:2026:i:6:p:1-34

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().