IIFT International Business and Management Review Journal
issue front

S. M. R. K. Illangarathne1

First Published 30 Jan 2026. https://doi.org/10.1177/jiift.251398946
Article Information Volume 3, Issue 1 July 2025
Corresponding Author:

S. M. R. K. Illangarathne, Faculty of Commerce & Management Studies, University of Kelaniya, No. 218, Kandy Road, Dalugama, Kelaniya 11600, Sri Lanka.
Email: raveesha1111@gmail.com

1Faculty of Commerce & Management Studies, University of Kelaniya, Sri Lanka

cc img

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.

Abstract

This research examines the implementation of artificial intelligence (AI) to improve and advance human resource management (HRM) practices, along with the possibilities for future integration of various human and AI methodologies. The research is a narrative literature review, utilising recent studies, case examples, articles and pertinent literature regarding AI and HRM within the last 5 years from 2020 to 2024 (including 2024). Additionally, the article highlights the beneficial effects of AI on HRM practices and processes, providing an informative view on how AI enhances strategic HRM methods and boosts organisational performance through AI adoption.

Keywords

Artificial intelligence, human resource practices, organisational performance, positive impact, strategic human resource management

References

Abdulla, N. (2024). The human resources management and artificial intelligence. Journal of Human Resource and Leadership, 9(3), 13–18. https://doi.org/10.47604/jhrl.2635

Al Samman, A., & Obaidly, A. (2024). AI-driven e-HRM strategies: Transforming employee performance and organizational productivity. Proceedings of the ICETSIS Conference, 23–29. https://doi.org/10.1109/ICETSIS61505.2024.10459398

Albassam, W. (2023). The power of artificial intelligence in recruitment: An analytical review of current AI-based recruitment strategies. International Journal of Professional Business Review, 8(6), e02089. https://doi.org/10.26668/businessreview/2023.v8i6.2089

Aroloye, P. (2024, January 24). Navigating recruitment challenges: 5 ways AI can revolutionize HR. eLearning Industry. https://elearningindustry.com/navigating-recruitment-challenges-ways-ai-can-revolutionize-hr

Bauer, E., Greisel, M., Kuznetsov, I., Berndt, M., Kollar, I., Dresel, M., & Fischer, F. (2023). Using natural language processing to support peer feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda. British Journal of Educational Technology, 54(4), 1222–1245. https://doi.org/10.1111/bjet.13336

Chen, Z. (2022). Artificial intelligence-virtual trainer: Innovative didactics aimed at personalized training needs. Journal of the Knowledge Economy, 14(2), 2007–2025. https://doi.org/10.1007/s13132-022-00985-0

Chen, X., & Ibrahim, Z. (2023). A comprehensive study of emotional responses in AI-enhanced interactive installation art. Sustainability, 15(22), 15830. https://doi.org/10.3390/su152215830

Duggal, N. (2024, June 24). Advantages and disadvantages of artificial intelligence [AI]. Simplilearn.com. https://www.simplilearn.com/advantages-and-disadvantages-of-artificial-intelligence-article

Ekuma, K. (2024). Artificial intelligence and automation in human resource development: A systematic review. Human Resource Development Review, 23(2), 199–229. https://doi.org/10.1177/15344843231224009

Faqihi, A., & Miah, S. (2023). Artificial intelligence-driven talent management system: Exploring the risks and options for constructing a theoretical foundation. Journal of Risk and Financial Management, 16(1), 31. https://doi.org/10.3390/jrfm16010031

Gaani, S., & Chhibber, P. (2022). A study on artificial intelligence in employee engagement. https://www.researchgate.net/publication/378150928_A_study_on_Artificial_Intelligence_in_Employee_Engagement

Ganatra, N., & Pandya, J. (2023). The transformative impact of artificial intelligence on HR practices and employee experience: A review. Journal of Management Research and Analysis, 10(2), 106–111. https://doi.org/10.18231/j.jmra.2023.018

Garg, S., Sinha, S., Kar, A. K., & Mani, M. (2021). A review of machine learning applications in human resource management. International Journal of Productivity and Performance Management, 71(5), 1590–1610.

Hemalatha, A., Kumari, P. B., Nawaz, N., & Gajenderan, V. (2021). Impact of artificial intelligence on recruitment and selection of information technology companies. In Proceedings of the International Conference on Artificial Intelligence and Smart Systems (ICAIS 2021) (pp. 60–66). https://doi.org/10.1109/ICAIS50930.2021.9396036

Jedrzejowska, M. (2024, April 29). AI in HR tech—Explore key trends shaping the HR sector. Spyrosoft. https://spyro-soft.com/blog/hr-tech/ai-in-hr-tech-explore-key-trends-shaping-the-hr-sector

Koivunen, S., Ala-Luopa, S., Olsson, T., & Haapakorpi, A. (2022). The march of chatbots into recruitment: Recruiters’ experiences, expectations, and design opportunities. Computers Supported Cooperative Work, 31, 487–516. https://doi.org/10.1007/s10606-022-09429-4

Li, M. (2024). The impact of artificial intelligence on human resource management systems: Applications and risks. Applied and Computational Engineering, 48, 7–16. https://doi.org/10.54254/2755-2721/48/20241060

Luhana, K., Memon, A. B., & Keerio, I. (2023). The rise of artificial intelligence and its influence on employee performance and work. https://www.researchgate.net/publication/372231199_The_Rise_of_Artificial_Intelligence_and_Its_Influence_on_Employee_Performance_and_Work

Luz, A., & Olaoye, G. (2024). Artificial intelligence and employee experience: Leveraging technology for personalization. https://www.researchgate.net/publication/380370885_Artificial_Intelligence_and_Employee_Experience_Leveraging_Technology_for_Personalization

Marr, B. (2023, December 18). AI-enhanced employee onboarding: A new era in HR practices. Forbes. https://www.forbes.com/sites/bernardmarr/2023/12/12/ai-enhanced-employee-onboarding-a-new-era-in-hr-practices/

Mer, A. (2023). Artificial intelligence in human resource management: Recent trends and research agenda. In S. Grima, E. Thalassinos, G. G. Noja, T. V. Stamataopoulos, T. Vasiljeva, & T. Volkova (Eds), Digital transformation, strategic resilience, cyber security and risk management (Vol. 111B, pp. 31–56). Emerald Publishing Limited. https://doi.org/10.1108/S1569-37592023000111B003

Mer, A., & Virdi, A. S. (2022). Artificial intelligence disruption on the brink of revolutionizing HR and marketing functions. In Impact of artificial intelligence on organizational transformation (pp. 1–19). Scrivener Publishing LLC.

Naturalista, Issn, & Ray, S. (2024). A systematic review of artificial intelligence (AI) and impact on human resource management (HRM): Challenges, risks, and opportunities. https://www.researchgate.net/publication/378866500_A_Systematic_Review_of_Artificial_Intelligence_AI_And_Impact_on_Human_Resource_

Management_HRM_Challenges_Risks_and_Opportunities

Nyathani, R. (2023). AI in performance management: Redefining performance appraisals in the digital age. Journal of Artificial Intelligence & Cloud Computing, 2(1), 1–5. https://doi.org/10.47363/JAICC/2023(2)134

Sakka, F., El Maknouzi, M., & Sadok, H. (2022). Human resource management in the era of artificial intelligence: Future HR work practices, anticipated skill set, financial and legal implications. https://www.researchgate.net/publication/357752461_HUMAN_RESOURCE_MANAGEMENT_IN_THE_ERA_OF_ARTIFICIAL_INTELLIGENCE_

FUTURE_HR_WORK_PRACTICES_ANTICIPATED_SKILL_SET_FINANCIAL_AND_LEGAL_IMPLICATIONS

Sangu, V. S., Saini, R., Prabakar, S., Hussain, G. K. J., & Thayumanavar, B. (2024). HR analytics: Leveraging big data and artificial intelligence for decision-making. Educational Administration: Theory and Practice, 30(5), 1107–1110. https://doi.org/10.53555/kuey.v30i4.2327

Sari, R., Min, S., Purwoko, H., Furinto, A., & Tamara, D. (2020). Artificial intelligence for a better employee engagement. International Research Journal of Business Studies, 13(2), 173–188. https://doi.org/10.21632/irjbs.13.2.173-188

Sathyaseelan, D., & Srinivasan, S. (2024). Role of artificial intelligence in reshaping the human resource practices. Educational Administration: Theory and Practice, 30(4), 354–359. https://doi.org/10.53555/kuey.v30i4.1471

Sousa, M., & Dias, I. (2020). Business intelligence for human capital management. International Journal of Business Intelligence Research, 11(1), 12–24. https://doi.org/10.4018/IJBIR.2020010103

Stefanic, D. (2024, June 27). AI in corporate onboarding processes. Hyperspacemv—The Metaverse for Business Platform. https://hyperspace.mv/corporate-onboarding-ai/

Surve, A. T., & Singh, K. (2024). A study of talent management and its impact on organizations. Educational Administration: Theory and Practice, 30(5), 11071110. https://doi.org/10.53555/kuey.v30i5.3020

Takyar, A., & Takyar, A. (2023, September 15). How does AI streamline talent acquisition processes? LeewayHertz—AI Development Company. https://www.leewayhertz.com/ai-in-talent-acquisition/

Tuffaha, M. (2023). The impact of artificial intelligence bias on human resource management functions: Systematic literature review and future research directions. European Journal of Business and Innovation Research, 11(4), 35–58. https://doi.org/10.37745/ejbir.2013/vol11n43558

Urme, U. (2023). The impact of talent management strategies on employee retention. International Journal of Science and Business, 28(1), 127–146. https://doi.org/10.58970/IJSB.2209

Vivek, R. (2023). Enhancing diversity and reducing bias in recruitment through AI: A review of strategies and challenges.—Informatics Economics Management, 2(4), 0101–0118. https://doi.org/10.47813/2782-5280-2023-2-4-0101-0118


Make a Submission Order a Print Copy