Alkoud, Saleh and Majeed, Isam and Zainudin, Dolhadi and Mhd. Sarif, Suhaimi (2024) Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis. International Journal of Academic Research in Accounting, Finance and Management Sciences, 14 (4). pp. 1354-1377. E-ISSN 2225-8329
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Abstract
The study aims to highlight the future research directions and global research trends of applying artificial intelligence (AI) in Human Resources (AI) Using Bibliometric Analysis in the last three decades (1996–2024). Using performance analysis and scientific mapping, the research uses bibliometric analysis to investigate co-authorship, co-occurrence, citation, bibliographic coupling and co-citation analysis in 99 articles taken from the Scopus database. The analysis looked at the quantity of scientific publications, the most prolific writers, the most important papers, nations, and organizations. The study used VOSviewer as a science mapping and performance analysis tool. The most productive year was 2023 with 34 publications and the most impactful institute and countries are the Essec Business School in France, and the country is the United States, respectively. Similarly, the most influential journal is “California Management Review”, furthermore, the most cited article is “Artificial intelligence in human resources management: Challenges and A path forward”. The authors also identified four thematic clusters of Research on Artificial Intelligence in Human Resources, the four theme groupings are Artificial Intelligence, Human Resource Management, Human Capital Complementarity, and AI Capability Framework. It presents academic direction and information about the current state and future study in the field of artificial intelligence literature in human resources. This study enhances the theoretical comprehension of AI's impact on HR by providing a thorough examination of worldwide patterns and real-world implementations. It promotes the use of AI frameworks in line with strategic HR objectives
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence, human resources, bibliometric analysis, performance analysis, science mapping |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business. Business Administration > HF5387 Business ethics H Social Sciences > HF Commerce > HF5001 Business. Business Administration > HF5549 Personnel management H Social Sciences > HF Commerce > HF5001 Business. Business Administration > HF5717 Business communication |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Economics and Management Sciences > Department of Business Administration |
| Depositing User: | Dr Suhaimi Mhd Sarif |
| Date Deposited: | 10 Jan 2025 16:50 |
| Last Modified: | 10 Jan 2025 16:54 |
| URI: | http://irep.iium.edu.my/id/eprint/117534 |
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