Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis
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...
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| Format: | Article |
| Language: | English |
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Universitat Politècnica de València
2025-01-01
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| Series: | International Journal of Production Management and Engineering |
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| Online Access: | https://polipapers.upv.es/index.php/IJPME/article/view/21900 |
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| author | Adil Benabou Fatima Touhami |
| author_facet | Adil Benabou Fatima Touhami |
| author_sort | Adil Benabou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-49a456bbb4a040028a40e823cb25c56d |
| institution | Kabale University |
| issn | 2340-4876 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | International Journal of Production Management and Engineering |
| spelling | doaj-art-49a456bbb4a040028a40e823cb25c56d2025-01-31T13:48:47ZengUniversitat Politècnica de ValènciaInternational Journal of Production Management and Engineering2340-48762025-01-01131597610.4995/ijpme.2025.2190021089Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysisAdil Benabou0https://orcid.org/0000-0002-4046-9335Fatima Touhami1https://orcid.org/0000-0003-2190-639XUniversité Sultan Moulay Slimane Université Sultan Moulay Slimane 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.https://polipapers.upv.es/index.php/IJPME/article/view/21900artificial intelligencehuman resource managementhuman-ai collaborationmachine learningdeep learningai-powered chatbots |
| spellingShingle | Adil Benabou Fatima Touhami Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis International Journal of Production Management and Engineering artificial intelligence human resource management human-ai collaboration machine learning deep learning ai-powered chatbots |
| title | Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis |
| title_full | Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis |
| title_fullStr | Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis |
| title_full_unstemmed | Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis |
| title_short | Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis |
| title_sort | empowering human resource management through artificial intelligence a systematic literature review and bibliometric analysis |
| topic | artificial intelligence human resource management human-ai collaboration machine learning deep learning ai-powered chatbots |
| url | https://polipapers.upv.es/index.php/IJPME/article/view/21900 |
| work_keys_str_mv | AT adilbenabou empoweringhumanresourcemanagementthroughartificialintelligenceasystematicliteraturereviewandbibliometricanalysis AT fatimatouhami empoweringhumanresourcemanagementthroughartificialintelligenceasystematicliteraturereviewandbibliometricanalysis |