The Role of Artificial Intelligence in Improving the Performance and Effectiveness of Human Resource Management


Authors

  • Iya Nur Rizkiah Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
  • Dwi Laila Shafira Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
  • Ami Dianita Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
  • Sri Rahayu Universitas Islam Sumatera Utara, Medan, Indonesia
  • Widia Astuty Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia

Keywords:

Artificial Intelligence; Human Resource Management; Employee Performance; Organizational Effectiveness; Digital Transformation

Abstract

The development of Artificial Intelligence (AI) has driven significant transformation in human resource management from an administrative function to a strategic function oriented towards organizational performance and effectiveness. This study aims to systematically examine the role of AI in improving employee performance and the effectiveness of human resource management. The method used is a systematic literature review with reference to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles were collected from reputable national and international sources published between 2020 and 2025. After a gradual selection process, 30 articles that met the inclusion criteria were obtained for further analysis. The results of the study show that the application of AI in HRM functions, such as recruitment, training, and performance evaluation, contributes positively to increased productivity, decision-making accuracy, and organizational effectiveness. However, the success of AI implementation is greatly influenced by the readiness of human resource competencies, organizational cultural support, and adequate ethical governance. This study provides a conceptual contribution by strengthening the understanding of the strategic role of AI in HRM and serves as a reference for practitioners and researchers in designing sustainable technology-based human resource management.

References

Aksoy, S. (2023). Artificial intelligence and strategic human resource management: Transforming HR functions in the digital era. Journal of Business Research, 157, 113618.

Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2020). HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 30(2), 223–239.

Armstrong, M., & Taylor, S. (2020). Armstrong’s handbook of human resource management practice (15th ed.). Kogan Page.

Becker, B. E., & Huselid, M. A. (2021). Strategic human resource management: Where do we go from here? Journal of Management, 47(6), 1425–1445.

Bondarouk, T., & Brewster, C. (2021). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 32(10), 2111–2136.

Boon, C., Den Hartog, D. N., & Lepak, D. P. (2020). A systematic review of human resource management systems and their measurement. Journal of Management, 46(6), 929–958.

Bresciani, S., Ferraris, A., & Del Giudice, M. (2021). The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technological Forecasting and Social Change, 166, 120609.

Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., & Varma, A. (2023). Human resource management in the age of digital transformation. Human Resource Management Review, 33(1), 100912.

Cavanagh, J., McNeil, N., & Bartram, T. (2023). Human resource management in the era of artificial intelligence: Ethical challenges and future research agenda. Human Resource Management Review, 33(1), 100879.

Davenport, T. H., Harris, J., & Shapiro, J. (2020). Competing on talent analytics. Harvard Business Review, 98(4), 52–61.

Delery, J. E., & Roumpi, D. (2020). Strategic human resource management and organizational performance. Academy of Management Annals, 14(2), 1–45.

Guest, D. E. (2021). Human resource management and employee well-being: Towards a new analytic framework. Human Resource Management Journal, 31(1), 1–18.

Hasanuddin, H., Singgarniari, E., Faisal, F., Ritonga, A., Nasution, I., Wasesa, S., & Rahayu, S. (2023). Pengaruh sarana prasarana, kualitas sumber daya manusia, dan kemampuan kerja terhadap kinerja pegawai. Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS), 4(2), 804–813.

He, S., Putra, R. D., & Sari, A. P. (2025). Artificial intelligence adoption in human resource management: Implications for employee performance and organizational effectiveness. International Journal of Human Resource Studies, 15(2), 45–62.

Huang, J., & Zhang, L. (2023). Digital transformation and human resource management: A systematic review and future research agenda. Human Resource Management Review, 33(4), 100962.

Kaufman, B. E. (2021). The evolving concept of strategic HRM. Human Resource Management Review, 31(2), 100742.

Kitchenham, B., Pretorius, R., Budgen, D., Brereton, P., Turner, M., Niazi, M., & Linkman, S. (2020). Systematic literature reviews in software engineering – A tertiary study. Information and Software Technology, 52(8), 792–805.

Koswara, Y., Rahman, F., & Lestari, D. (2025). Transformasi manajemen sumber daya manusia berbasis artificial intelligence di era industri 4.0. Jurnal Manajemen Indonesia, 25(1), 12–27.

Lengnick-Hall, M. L., Lengnick-Hall, C. A., & Rigsbee, C. M. (2021). Strategic human resource management and resilience. Human Resource Management Review, 31(3), 100759.

Levenson, A. (2021). Strategic analytics: Advancing strategy execution and organizational effectiveness. Berrett-Koehler.

Margherita, A., & Bua, I. (2021). The role of human resource management in digital transformation. Journal of Organizational Change Management, 34(4), 709–724.

Marler, J. H., & Fisher, S. L. (2021). An evidence-based review of e-HRM and strategic human resource management. Human Resource Management Review, 31(2), 100740.

Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2021). Learning in the twenty-first-century workplace. Annual Review of Organizational Psychology and Organizational Behavior, 8, 245–275.

Noor, E., Akhirin, M., Widiawati, R., Nugraha, M. Y., Batu Bara, R., Safrida, S., Wasesa, S., & Rahayu, S. (2023). Strategi dalam meningkatkan kinerja UKM pasca COVID-19. Terapan Informatika Nusantara, 4(6), 330–344.

Nurhayati, N., & Rahayu, S. (2025). Kinerja keuangan sebagai indikator keberlanjutan perusahaan: Kajian sistematis perusahaan syariah dan non-syariah. Jurnal Manajemen dan Penelitian Akuntansi, 18(1), 163–174.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.

Rahayu, S., & Riana, Z. (2020). Determinants of fraud pentagon theory perspective and its effects on fraudulent financial statements. Budapest International Research and Critics Institute-Journal, 3(3), 1995–2010.

Rahayu, S., Effendi, S., Artika, V. S., Habibie, A., & Suginam, S. (2023). Green accounting and firm size on financial performance in Jakarta Islamic Index. Jurnal Ilmiah Akuntansi Kesatuan, 11(2), 211–225.

Ramadhan, M. Y. W., Permana, D., Walidi, S., Batubara, A. S., Abdillah, H., Wahyuni, N. S., & Rahayu, S. (2023). Pengaruh gaya kepemimpinan partisipatif dan nilai-nilai perusahaan terhadap kinerja pegawai melalui komitmen organisasi. Journal of Trends Economics and Accounting Research, 4(1), 168–180.

Rasmussen, T., & Ulrich, D. (2022). Learning from practice: How HR analytics avoids being a management fad. Organizational Dynamics, 51(1), 100860.

Salas, E., Tannenbaum, S. I., Kraiger, K., & Smith-Jentsch, K. A. (2021). The science of training and development in organizations. Psychological Science in the Public Interest, 22(2), 40–82.

Silvia, Y., Kurniawan, M., Rahayu, S., Isnaini, D. B. J., & Syah, A. (2024). Analysis of the impact of human capital on the productivity of employees. Proceedings of the Bengkulu International Conference on Economics, Management, Business and Accounting, 223–232.

Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2020). The influence of technology on the future of human resource management. Human Resource Management Review, 30(1), 100687.

Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management, 34(3), 345–365.

Triono, A., & Wijaya, R. (2025). Artificial intelligence dalam pengelolaan sumber daya manusia: Peluang dan tantangan etika. Jurnal Manajemen dan Bisnis Indonesia, 12(2), 134–148.

Úbeda-García, M., Claver-Cortés, E., Marco-Lajara, B., & Zaragoza-Sáez, P. (2025). Artificial intelligence and human resource management: A systematic review and future research agenda. Human Resource Management Review, 35(1), 100945.

Utami, S. (2025). Efektivitas penerapan artificial intelligence dalam manajemen sumber daya manusia organisasi publik. Jurnal Administrasi Publik, 22(1), 55–70.

Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2021). Artificial intelligence, robotics, advanced technologies and human resource management. International Journal of Human Resource Management, 33(6), 1237–1266.

Zhang, Y., Liu, X., & Chen, W. (2022). Artificial intelligence in human resource management: A bibliometric analysis and research agenda. Technological Forecasting and Social Change, 182, 121846.

Zebua, Y., Sihombing, M., & Napitupulu, T. (2024). Human resource analytics and organizational performance: Evidence from Indonesian firms. Binus Business Review, 15(2), 201–214.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel The Role of Artificial Intelligence in Improving the Performance and Effectiveness of Human Resource Management

Dimensions Badge

ARTICLE HISTORY

Published: 2026-01-25

Abstract View: 144 times
PDF Download: 231 times

How to Cite

Rizkiah, . I. N., Shafira, D. L., Dianita, A., Rahayu, S., & Astuty, W. (2026). The Role of Artificial Intelligence in Improving the Performance and Effectiveness of Human Resource Management. Proceeding of International Conference Technology, Economics, and Social Science, 1(1), 641-647. Retrieved from https://journals.adaresearch.or.id/ictess/article/view/293

Most read articles by the same author(s)

1 2 3 4 > >>