Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis

Adil Benabou

https://orcid.org/0000-0002-4046-9335

Morocco

Université Sultan Moulay Slimane image/svg+xml

Multidisciplinary Research Laboratory in Economics and Management, Faculty of Economics and Management.

Fatima Touhami

https://orcid.org/0000-0003-2190-639X

Morocco

Université Sultan Moulay Slimane image/svg+xml

Multidisciplinary Research Laboratory in Economics and Management, Faculty of Economics and Management

Submitted: 2024-06-17

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Accepted: 2024-09-29

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Published: 2025-01-31

DOI: https://doi.org/10.4995/ijpme.2025.21900

Copyright (c) 2025 Adil Benabou, Fatima Touhami

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Keywords:

Artificial Intelligence, Human Resource Management, Human-AI Collaboration, Machine Learning, Deep Learning, AI-powered chatbots

Supporting agencies:

This research was not funded

Abstract:

Drawing on a systematic literature review and bibliometric analysis, this article examines the burgeoning field of Artificial Intelligence (AI) integration into Human Resource Management (HRM) practises. By evaluating 77 selected articles from two extensive databases, Scopus and Web of Science, this study illuminates the dynamic intersection of AI technologies and HRM, encapsulating the profound implications for organisational and individual aspects of HR practises. This analysis delineates three primary thematic areas: AI's transformative role in HRM, the emerging paradigm of human-AI collaboration, and the nuanced challenges and opportunities presented by AI in HR practises. This research contributes to the academic discourse by mapping the current state of AI applications in HRM, identifying gaps and proposing directions for future research, emphasising the need for ethical frameworks and the strategic integration of AI to enhance HR practises. Through this scholarly endeavour, we aim to offer a comprehensive overview that aids practitioners and researchers in navigating the complexities of AI's role in reshaping HRM towards more efficient, ethical, and innovative practises.

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