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Trends of Artificial Intelligence in Human Resources Management Using Bibliometric Analysis
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Author(s): Wei Chien Ng (Universiti Sains Malaysia, Malaysia), Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Guat Guan Toh (Tunku Abdul Rahman University of Management and Technology, Malaysia)and Yu Qing Soong (Tunku Abdul Rahman University of Management and Technology, Malaysia)
Copyright: 2025
Pages: 28
Source title:
Artificial Intelligence in Peace, Justice, and Strong Institutions
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Anjali Raghav (Sharda University, India), Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Bhupinder Singh (Sharda University, India)and Budi Agus Riswandi (Universitas Islam Indonesia, Indonesia)
DOI: 10.4018/979-8-3693-9395-6.ch016
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Abstract
Human resource management (HRM) is essential in organizations, as employees drive productivity and growth. To improve HRM, many practitioners are implementing artificial intelligence (AI). This chapter explores AI's significant impact on HRM through a bibliometric and visualization analysis of 676 research articles from the Scopus database, covering studies from 1991 to September 2024. Key areas examined include leading authors, countries, institutions, journals, and research themes using VOSviewer. Findings reveal China, the United States, and India as top contributors, with Human Resource Management Review publishing the highest number of articles (10) and Aston University having the most contributions (15). No single author dominated, with a maximum of six articles published by one individual. This study also suggests future research directions, offering valuable insights for researchers and organizational leaders to leverage AI for enhanced HRM practices.
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