Kumar, Mohan, Yadav, Mohit
ORCID: https://orcid.org/0000-0002-9341-2527, Yadav, Nisha, Mai, Huyen Thanh, Nguyen, Dat Duy, Pham, Uyen Minh Thi, Tiwari, Nilesh Kumar and Amoozegar, Azadeh
(2026)
Transforming human resource practices through AI-driven HRIS: a two-decade bibliometric and systematic review.
International Journal of Business Information Systems, 52 (6).
pp. 1-34.
Inderscience Publishers
.
ISSN 1746-0972
Available at: https://doi.org/10.1504/ijbis.2026.154988
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence | AI | HR practices | Quality jobs | Human resource information systems | HRIS | Bibliometric analysis | Thematic evolution |
| Subjects: | Social Sciences and humanities > Business, Management and Accounting > Human Resource Management Physical, Life and Health Sciences > Computer Science |
| Vol/Issue no. published date: | July 2026 |
| Depositing User: | Mr. Syed Anas Ali |
| Date Deposited: | 27 Jul 2026 09:20 |
| Last Modified: | 27 Jul 2026 09:20 |
| Official URL: | https://doi.org/10.1504/ijbis.2026.154988 |
| URI: | https://pure.jgu.edu.in/id/eprint/12097 |
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