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Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis

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 bibliometri...

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Main Authors: Alkoud, Saleh, Majeed, Isam, Zainudin, Dolhadi, Mhd. Sarif, Suhaimi
Format: Article
Language:English
Published: Human Resource Management Academic Research Society (HRMARS) 2024
Subjects:
HF5387 Business ethics
HF5549 Personnel management
HF5717 Business communication
Online Access:http://irep.iium.edu.my/117534/1/117534_%20Future%20research%20directions%20and%20global%20research.pdf
http://irep.iium.edu.my/117534/
https://hrmars.com/index.php/IJARAFMS/article/view/23963/Future-Research-Directions-and-Global-Research-Trends-of-Applying-Artificial-Intelligence-in-Human-Resources-Using-Bibliometric-Analysis
http://dx.doi.org/10.6007/IJARAFMS/v14-i4/23963
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spelling my.iium.irep.1175342025-01-10T08:54:07Z http://irep.iium.edu.my/117534/ Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis Alkoud, Saleh Majeed, Isam Zainudin, Dolhadi Mhd. Sarif, Suhaimi HF5387 Business ethics HF5549 Personnel management HF5717 Business communication 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 Human Resource Management Academic Research Society (HRMARS) 2024-12-24 Article PeerReviewed application/pdf en http://irep.iium.edu.my/117534/1/117534_%20Future%20research%20directions%20and%20global%20research.pdf 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 https://hrmars.com/index.php/IJARAFMS/article/view/23963/Future-Research-Directions-and-Global-Research-Trends-of-Applying-Artificial-Intelligence-in-Human-Resources-Using-Bibliometric-Analysis http://dx.doi.org/10.6007/IJARAFMS/v14-i4/23963
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HF5387 Business ethics
HF5549 Personnel management
HF5717 Business communication
spellingShingle HF5387 Business ethics
HF5549 Personnel management
HF5717 Business communication
Alkoud, Saleh
Majeed, Isam
Zainudin, Dolhadi
Mhd. Sarif, Suhaimi
Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
description 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
format Article
author Alkoud, Saleh
Majeed, Isam
Zainudin, Dolhadi
Mhd. Sarif, Suhaimi
author_facet Alkoud, Saleh
Majeed, Isam
Zainudin, Dolhadi
Mhd. Sarif, Suhaimi
author_sort Alkoud, Saleh
title Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
title_short Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
title_full Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
title_fullStr Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
title_full_unstemmed Future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
title_sort future research directions and global research trends of applying artificial intelligence in human resources using bibliometric analysis
publisher Human Resource Management Academic Research Society (HRMARS)
publishDate 2024
url http://irep.iium.edu.my/117534/1/117534_%20Future%20research%20directions%20and%20global%20research.pdf
http://irep.iium.edu.my/117534/
https://hrmars.com/index.php/IJARAFMS/article/view/23963/Future-Research-Directions-and-Global-Research-Trends-of-Applying-Artificial-Intelligence-in-Human-Resources-Using-Bibliometric-Analysis
http://dx.doi.org/10.6007/IJARAFMS/v14-i4/23963
_version_ 1821105152410517504
score 13.235362

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