What are the Trends of AI Technology Towards HCM?
Keywords:
AI, HCM, HRM, technologyAbstract
This research aims to identify research trends regarding Artificial Intelligence (AI) technology towards Human Capital Management (HCM). Research on AI technology for HCM was rare, while the phenomenon indicates more companies were implementing HCM. Still, it has not been utilized as a research object, especially in strategic HRM. The purpose of this research is to identify AI technology trends in HCM with 6 Research Questions (RQ). The research design is a quantitative approach, and the research method is a Systematic Literature Review (SLR). Data using Crossref database with criteria: 1) the type of data used in the form of journal-article, and proceeding-article, 2) the keywords used were “AI technology, Human Capital Management” for 2020-2024, and 3) restrictions were made only on searching articles using English. Searching data using Publish and Perish. Data analysis using VOSviewer, and analysis techniques are descriptive statistics. The research results indicates: RQ1) over 5 years, there were 685 articles related to AI technology towards HCM, RQ2) Journal of Human Capital was a journal that published the most articles (30 articles); RQ3) the publisher which published the most articles was Elsevier (44 articles); RQ4) the authors who were active in researching AI technology towards HCM (Belchich, Pratama, Palahusynets, Kwiecień ), each of whom has published 2 articles; RQ5) an article written by Haldorai et al. in 2022 was the most cited (170 citations); RQ6a) the network visualization indicates there were 4 clusters; RQ6b) article titles with AI technology towards HCM in yellow were related to the keywords human resources management, adoption, artificial intelligence, employee engagement, competitive advantage, selection, collaboration; and RQc) the density visualization indicates the highest weight was capital, while the others had quite low weights, although there was still a faint yellow color. The findings of this research provide implications: 1) expanding the theory of HCM by incorporating AI technology (theoretical implications); 2) providing a basis for developing more targeted research methods for studying AI technology in HCM (implications for future research); and 3) assisting organizations in enhancing performance and strategic decision-making in HRM (practical implications).
References
Bashynska, I., Prokopenko, O., & Sala, D. (2023). Managing Human Capital with AI: Synergy of Talent and Technology. Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, 27(3). https://doi.org/10.19192/wsfip.sj3.2023.5
Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special issue editorial: Artificial intelligence in organizations: Implications for information systems research. Journal of the Association for Information Systems, 22(2), 10. https://doi.org/10.17705/1jais.00660
Cheng, M. M., & Hackett, R. D. (2019). A critical review of algorithms in HRM: Definition, theory, and practice. Academy of Management Annual Meeting Proceedings.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Daugherty, P. R., & Wilson, H. J. (2018). Human + Machine: Reimagining Work in the Age of AI. Harvard Business Press.
Der Aalst, W. M. P. et al. (2018). Robotic Process Automation. Department of Informatics, Technical University of Munich.
Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2020). Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114–132.
Earley, P. C. (1988). Computer-generated performance feedback in the magazine-subscription industry. Organizational Behavior and Human Decision Processes, 41, 50–64.
Fay, C. (2019). The role of artificial intelligence in human resource management. Journal of Human Resource Management, 25(2), 146–161.
Husain, A., & Vishvakarma, V. P. (2022). Face recognition method based on residual convolution neural network. IOP Conference Series: Materials Science and Engineering, 1228(1), 012005. https://doi.org/10.1088/1757-899X/1228/1/012005
Karatas, B. (2021). The project of development of human resource management system for a chosen company. International Journal of Human Resource Management.
Mariska Purwaamijaya, B., & Prasetyo, Y. (2022). The Effect of Artificial Intelligence (AI) on Human Capital Management in Indonesia. Jurnal Manajemen Dan Kewirausahaan, 10(2), 168–174. https://doi.org/10.26905/jmdk.v10i2.9130
Nilsson, N. J. (1985). Artificial intelligence, employment, and income. Human Systems Management, 5(2), 123–135. https://doi.org/10.3233/HSM-1985-5203
Singh, A., & Sahoo, D. M. K. (2023). Revolutionizing recruitment: Harnessing the power of technology. IRE Journal, 6, 1343–1355.
Ammer, M. A., Ahmed, Z. A. T., Alsubari, S. N., Aldhyani, T. H. H., & Almaaytah, S. A. (2023). Application of Artificial Intelligence for Better Investment in Human Capital. Mathematics, 11(3), 612. https://doi.org/10.3390/math11030612
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Harry Yulianto, Iryani (Author)

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