Artificial Intelligence in HR: A Bibliometric Analysis Through VOS Viewer

Sushil Minz ()
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Sushil Minz: KIIT KSOM, Ph.D. Scholar

A chapter in Proceedings of the 5th International Conference on Management Research (ICMR 2025), 2026, pp 497-516 from Springer

Abstract: Abstract Introduction: The emergence of artificial intelligence (AI) has changed several domains, Human Resources (HR), included. The aims of this study are to provide a comprehensive bibliometric analysis of AI applications in HR, highlighting the transformation of HR functions done traditionally and identifying emerging trends. By addressing a research gap in the literature, this study identifies, the extent and impact of integration of AI in HR practices. Objective: To explore its evolving landscape of through a detailed bibliometric analysis. And to investigate key areas of management such as recruitment, performance, and engagement of employee, aiming to enhance both academic understanding it’s practical implementation. Methodology: Relevant literature was collected from SCOPUS using specific search criteria. The 934 selected articles from 1984 to 2024 were analysed through VOS viewer to identify prevailing themes and trends. Advanced bibliometric tools and techniques, such as co citation analysis and keyword mapping, were employed for a thorough examination. Results: Application of AI in HR is steadily growing, with significant research focusing on predictive analytics, automated recruitment processes, and AI driven employee performance assessments. There is an increasing volume of publications in recent years, indicating heightened scholarly and practical interest. These findings illustrate the dynamic nature of adoption of AI in HR practices. Conclusion: The bibliometric analysis highlights worthy insights into the present state and its future prospects. It also highlights key areas requiring study in the near future, emphasizing the need for interdisciplinary approaches to leverage AI’s capabilities, completely. For HR professionals, the findings emphasise the importance of embracing AI technologies to enhance efficiency and effectiveness in HR management.

Keywords: Artificial Intelligence (AI); Human Resources (HR); Bibliometric Analysis; Recruitment; Predictive Analytics (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-660-9_24

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DOI: 10.2991/978-94-6239-660-9_24

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