The Impact of Artificial Intelligence-Based Human Resource Management Interactions on Organizational Outcomes
Keywords:
Human resource management interactions, outcomes, artificial intelligence, interactive systems , improvement of HR decisionsAbstract
The present study aimed to investigate the impact of artificial intelligence-based human resource management interactions on organizational outcomes, including operational productivity, improvement of human resource decisions, and human resource value creation. This study was applied in terms of purpose and descriptive-survey correlational in terms of methodology. The statistical population consisted of employees of the Ministry of Interior, from which 270 participants were selected using Cochran’s formula and random sampling. Data were collected through a researcher-made questionnaire designed based on a five-point Likert scale. The validity of the questionnaire was confirmed through confirmatory factor analysis, while its reliability was verified using Cronbach’s alpha coefficient. Data analysis was conducted using SPSS-27 and SMART-PLS software through structural equation modeling. The findings demonstrated that AI-based human resource management interactions consisted of key dimensions, including interactive recruitment and screening algorithms, dynamic performance evaluation, employee interaction with learning and development systems, and interactive human resource planning systems. The results indicated that these interactions had direct and significant effects on organizational outcomes. The path coefficient of AI-based interactions on improving human resource decisions was 0.70, on human resource value creation was 0.64, and on operational productivity was 0.62. In addition, the calculated t-values for all relationships exceeded 1.96, confirming statistical significance at the 95% confidence level. Furthermore, model fit indices, including AVE, CR, and Cronbach’s alpha, were within acceptable ranges, supporting the adequacy of the conceptual model. The results revealed that implementing AI-based interactive systems in human resource management can enhance operational productivity, improve the quality and transparency of HR decisions, and create strategic organizational value through process automation and decision standardization. Therefore, the purposeful adoption of artificial intelligence technologies can play a critical role in the digital transformation of human resource management and the enhancement of organizational performance.
Downloads
References
Akbari Emami, S., Jamipour, M., & Fathi, S. (2023). Designing a Framework for Applying Artificial Intelligence in Human Resource Management: An Exploratory Approach. Sustainable Human Resource Management, 5(9), 263-284.
Bankins, S., & Formosa, P. (2020). When AI Meets PC: Exploring the Implications of Workplace Social Robots and a Human-Robot Psychological Contract. European Journal of work and organizational psychology, 29(2), 215-229. https://doi.org/10.1080/1359432X.2019.1620328
Basu, S., Majumdar, B., Mukherjee, K., Munjal, S., & Palaksha, C. (2023). Artificial Intelligence-HRM Interactions and Outcomes: A Systematic Review and Causal Configurational Explanation. Human Resource Management Review, 33(1), 100893. https://doi.org/10.1016/j.hrmr.2022.100893
Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence. California Management Review, 61(4), 110-134. https://doi.org/10.1177/1536504219865226
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the Value of Artificial Intelligence in Human Resource Management through AI Capability Framework. Human Resource Management Review, 33(1), 100899. https://doi.org/10.1016/j.hrmr.2022.100899
Connelly, C. E., Fieseler, C., Cerne, M., Giessner, S. R., & Wong, S. I. (2021). Working in the Digitized Economy: HRM Theory and Practice. Human Resource Management Review, 31(1), 100762. https://doi.org/10.1016/j.hrmr.2020.100762
Etemadi, M., Chitsaz, E., Koushki, S., & Jafari, S. M. A. (2024). Artificial Intelligence versus Human-Guided Methods in Human Resource Recruitment Evaluation: A Meta-Synthesis of Advantages and Disadvantages. Sustainable Human Resource Management, 6(11), 1-10.
Faulds, D. J., & Raju, P. S. (2021). The Work-from-Home Trend: An Interview with Brian Kropp. Business Horizons, 64(1), 29. https://doi.org/10.1016/j.bushor.2020.10.005
Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-Powered Organization. Harvard business review, 97(4), 62-73.
Margherita, A. (2022). Human Resources Analytics: A Systematization of Research Topics and Directions for Future Research. Human Resource Management Review, 32(2), 100795. https://doi.org/10.1016/j.hrmr.2020.100795
Mikalef, P., & Gupta, M. (2021). Artificial Intelligence Capability: Conceptualization, Measurement Calibration, and Empirical Study on Its Impact on Organizational Creativity and Firm Performance. Information & Management, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Ogbeibu, S., Emelifeonwu, J., Pereira, V., Oseghale, R., Gaskin, J., Sivarajah, U., & Gunasekaran, A. (2024). Demystifying the Roles of Organizational Smart Technology, Artificial Intelligence, Robotics and Algorithms Capability: A Strategy for Green Human Resource Management and Environmental Sustainability. Business Strategy and the Environment, 33(2), 369-388. https://doi.org/10.1002/bse.3495
Oracle, & Future, W. (2019). Global Research Highlights How AI Is Changing the Relationship between People and Technology at Work. https://www.oracle.com/corporate/pressrelease/robots-at-work-101519.html
Rajabi Farjad, H., & Atapour, M. (2022). The Effect of Electronic Human Resource Management on Talent Management in the Iranian Space Research Institute. Scientific Quarterly Journal of Standard and Quality Management, 12(2), 102-131.
Rajaei, Z., Nouforasti, F., Heidarnia, Z., & Mohimi, Z. (2023). Application of Artificial Intelligence in Human Resource Management. Scientific Quarterly Journal of NAJA Human Resources, 17(73), 39-79.
Ransbotham, S., Khodabandeh, S., Kiron, D., Candelon, F., Chu, M., & LaFountain, B. (2020). Expanding AI's Impact with Organizational Learning.
Sadeghi, H., Asgari, V., & Elahiari, N. (2025). The Role of Human Resource Management and Artificial Intelligence in Agile and Resilient Supply Chains (Case Study: Hospitality Industry of Isfahan City). Third National Conference on the Modern Management Student Branch in the Age of Artificial Intelligence, Tehran. https://en.civilica.com/doc/2350311/
Saini, H., & Tarkar, P. (2022). Artificial Intelligence in Human Resource Practices with Challenges and Future Directions. In Handbook of Research on Innovative Management Using AI in Industry 5.0 (pp. 222-230). IGI Global. https://doi.org/10.4018/978-1-7998-8497-2.ch015
Sharifi, A. R., Pashayi Samar, M., & Talashan, M. (2025). The Role of Artificial Intelligence in Transforming Human Resource Management. 1st International Conference on Management and Technology Engineering, https://civilica.com/doc/2324148/
Shin, H. H., Choi, S., & Kim, H. (2025). Artificial Intelligence (AI) in Human Resource Management (HRM): A driver of organizational dehumanization and negative employee reactions. International Journal of Hospitality Management, 131, 104230. https://doi.org/10.1016/j.ijhm.2025.104230
Sithambaram, R. A., & Tajudeen, F. P. (2023). Impact of Artificial Intelligence in Human Resource Management: A Qualitative Study in the Malaysian Context. Asia Pacific Journal of Human Resources, 61(4), 821-844. https://doi.org/10.1111/1744-7941.12356
Subrahmanyam, S. (2025). Role of Artificial Intelligence in Re-Inventing Human Resource Management (HRM) 2.0. In (pp. 243-264). https://doi.org/10.4018/979-8-3693-8679-8.ch012
Sucipto, H. (2024). The Impact of Artificial Intelligence (AI) on Human Resource Management Practices. Management Studies and Business Journal (PRODUCTIVITY), 1(1), 138-145. https://doi.org/10.62207/xey9mx18
Tak, M. (2025). Artificial Intelligence in Human Resources: Strategic Transformation in Talent Acquisition and Management.
Tanantong, T., & Wongras, P. (2024). A UTAUT-Based Framework for Analyzing Users' Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand. Systems, 12(1), 28. https://doi.org/10.3390/systems12010028
Temjanovski, R., Loku, A., & Bezovski, Z. (2025). Transforming Human Resource Management in Healthcare: The Role of Artificial Intelligence and Industry 5.0. Journal of Economics, 10(1), 54-71.
Vrontis, D. (2021). Artificial Intelligence, Robotics, Advanced Technologies, and Human Resource Management: A Systematic Review. The International Journal of Human Resource Management, 1(2), 1-30.
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2025 Mohamad Mirzaeikhales (Author); Alireza Rousta; Azadeh Ashrafi, Hassan Soltani (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
