Determinan Adopsi Artificial Intelligence dan Dampaknya terhadap Optimalisasi Sumber Daya Manusia: A Systematic Literature Review

Nurhaeni Sikki, Maria Dwi Sartika, Ahmad Johan Hariri, Regita Andrea, Linda Lidyawati, Abdul Lathiif Lardi Kusworo

Sari


Penelitian ini bertujuan mengidentifikasi faktor-faktor yang memengaruhi adopsi Artificial Intelligence (AI) dalam Manajemen Sumber Daya Manusia (MSDM) serta menganalisis kontribusinya terhadap optimalisasi sumber daya manusia melalui pendekatan Systematic Literature Review (SLR). Penelitian dilakukan dengan menelaah 20 artikel ilmiah peer-reviewed yang diterbitkan pada periode 2023–2026 dan diperoleh dari berbagai basis data akademik. Seleksi artikel dilakukan berdasarkan kriteria inklusi dan eksklusi yang telah ditetapkan, kemudian dianalisis menggunakan pendekatan analisis tematik. Hasil penelitian menunjukkan bahwa keberhasilan adopsi AI dalam MSDM dipengaruhi oleh empat determinan utama, yaitu faktor teknologi, organisasi, sumber daya manusia, serta lingkungan dan etika. Implementasi AI terbukti mampu meningkatkan efektivitas rekrutmen, manajemen talenta, perencanaan tenaga kerja, efisiensi operasional, serta kualitas pengambilan keputusan berbasis data sehingga mendukung optimalisasi sumber daya manusia. Namun demikian, kesiapan organisasi, kompetensi digital karyawan, tata kelola AI yang bertanggung jawab, serta perlindungan privasi dan aspek etika masih menjadi tantangan utama dalam implementasinya. Penelitian ini memberikan implikasi praktis bagi organisasi dalam merancang strategi adopsi AI yang berkelanjutan serta menjadi dasar bagi pengembangan penelitian selanjutnya mengenai model adopsi AI yang lebih terintegrasi pada berbagai konteks organisasi.

 

This study aims to identify the determinants influencing the adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) and examine its contribution to Human Resource Optimization through a Systematic Literature Review (SLR). The study reviewed 20 peer-reviewed articles published between 2023 and 2026, retrieved from major academic databases. Articles were selected based on predefined inclusion and exclusion criteria and analyzed using a thematic analysis approach. The findings reveal that successful AI adoption in HRM is influenced by four major determinants: technological, organizational, human, and environmental-ethical factors. Effective AI implementation enhances recruitment, talent management, workforce planning, operational efficiency, and data-driven decision-making, thereby supporting Human Resource Optimization. However, organizational readiness, employee digital competencies, responsible AI governance, data privacy, and ethical considerations remain significant challenges for sustainable AI implementation. These findings provide practical insights for organizations in developing effective AI adoption strategies while offering a foundation for future studies to develop more comprehensive AI adoption frameworks across diverse organizational contexts.

 

Kata kunci: Artificial Intelligence; Manajemen Sumber Daya Manusia; Adopsi AI; Optimalisasi Sumber Daya Manusia; Systematic Literature Review.


Teks Lengkap:

PDF

Referensi


Ali, D., Velázquez, M. J. R., Ribeiro, M. H., Liao, V., & Papakyriakopoulos, O. (2026). AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources. arXiv preprint arXiv:2606.17887. https://doi.org/10.48550/arXiv.2606.17887

Amalia, R., & Bahrani, B. (2025). Literature review: Peran artificial intelligence dalam transformasi manajemen sumber daya manusia bidang pendidikan di era industri 4.0. Indonesian Journal on Education (IJoEd), 2(2), 187–194. https://doi.org/10.70437/ijoed.v2i2.156

Amanullah, M., Ahmed, M. F., Tumpa, K., et al. (2026). Artificial intelligence for data-driven human resource decision-making: A systematic review. Social Sciences & Humanities Open, 13, 102909. https://doi.org/10.1016/j.ssaho.2026.102909

Arfah, M., Suherlan, S., & Pramono, S. A. (2025). Eksplorasi transformasi digital dalam MSDM: Dampak integrasi artificial intelligence dan big data analytics terhadap pengambilan keputusan strategis. Jurnal Minfo Polgan, 14(1), 183–192. https://doi.org/10.33395/jmp.v14i1.14673

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

Benabou, A., & Touhami, F. (2025). Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis. International Journal of Production Management and Engineering, 13(1), 59-76. https://doi.org/10.4995/ijpme.2025.21900

Bujold, A., Roberge-Maltais, I., Parent-Rocheleau, X. et al. Responsible artificial intelligence in human resources management: a review of the empirical literature. AI Ethics 4, 1185–1200 (2024). https://doi.org/10.1007/s43681-023-00325-1

Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. https://doi.org/10.12987/9780300252392

Darussalam, M. F., Artiningsih, D. W., & Shaddiq, S. (2025). Transformasi Digital Dan Implikasinya Terhadap Manajemen Sumber Daya Manusia. Jurnal Riset Multidisiplin Edukasi, 2(7), 1122-1127. https://journal.hasbaedukasi.co.id/index.php/jurmie

Fred Konneh Songa Monson, Eric Komba Foyoh Mani, Michael Nicol Samai, The Use of Artificial Intelligence in Human Resource Management Recruitment: A Bibliometric Analysis and Systematic Literature Review of Information Systems Industry, International Journal of Science and Management Studies (IJSMS), v9(i2), 216-245. https://doi.org/10.51386/25815946/ijsms-v9i2p125

Gaelle Fitong Ketchiwou, Patrick Ngulube. Prerequisites for the Successful Implementation of Artificial Intelligence in Human Resource Management - A Systematic Review. Journal of Chinese Human Resources Management 2026, 17(2), 92–107. https://doi.org/10.47297/wspchrmWSP2040-800506.20261702

Jatobá, M. N., Ferreira, J. J., Fernandes, P. O., & Teixeira, J. P. (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management, 36(7), 1099-1124. https://doi.org/10.1108/JOCM-03-2022-0075

Ketut Witara. (2025). Pengaruh Implementasi Artificial Intelligence dalam Pengelolaan Sumber Daya Manusia terhadap Kinerja dan Produktivitas: Systematic Literature Review (SLR). JURNAL RISET MANAJEMEN DAN EKONOMI (JRIME), 3(4), 122–141. https://doi.org/10.54066/jrime.v3i4.3550

Min, H. (2021). Artificial intelligence in supply chain management: Theory and applications. International Journal of Logistics Research and Applications, 24(2), 87–98. https://doi.org/10.1080/13675567.2020.1816740

Mohamed, H. H. (2025). Unveiling the potential of AI in HRM: A systematic review of adoption strategies, challenges, and future directions. Human Resource Management Review, 35(1), 100923. https://doi.org/10.1016/j.hrmr.2025.100923

Nain, V., & Shyam, H. S. (2024). Empirical analysis of the role of artificial intelligence in human resources recruitment and selection. Proceedings on Engineering Sciences, 6(2), 817-826. doi: 10.24874/PES06.02A.008

Naoum, R.F., Szakadáti, T. & Balogh, G. Artificial Intelligence (AI) in human resource management (HRM): a systematic review of its dual impact on diversity, equity, and inclusion (DEI). Manag Rev Q (2026). https://doi.org/10.1007/s11301-025-00580-y

Nosratabadi, S., Mosavi, A., & Rabczuk, T. (2022). Artificial intelligence models and employee lifecycle management: A systematic literature review. Sustainability, 14(3), 1124. https://doi.org/10.3390/su14031124

Pedrami, M., & Vaezi, S. K. (2026). Factors influencing artificial intelligence adoption in human resource management: a meta-synthesis and systematic review of multidimensional considerations. Journal of Work-Applied Management, 18(1), 47-64. https://www.emerald.com/insight/2205-2062.htm

Qin, C., Zhang, L., Cheng, Y., Zha, R., Shen, D., Zhang, Q., ... & Xiong, H. (2023). A comprehensive survey of artificial intelligence techniques for talent analytics. arXiv preprint arXiv:2307.03195. https://doi.org/10.48550/arXiv.2307.03195

Said, O., & Nahid, A. (2026). Adoption of artificial intelligence in human resource management: Systematic review and bibliometric analysis. Multidisciplinary Reviews, 9(10), 2026510. https://doi.org/10.31893/multirev.2026510

Said, O., & Nahid, A. (2026). Adoption of artificial intelligence in human resource management: Systematic review and bibliometric analysis. Multidisciplinary Reviews, 9(10), 2026510. https://doi.org/10.31893/multirev.2026510

Santos, F. M. de A., Pereira, A., Shanches, A., Crespo, D., & Pala, H. (2025). The impacts of AI and automation on human resource management – systematic review. Brazilian Journal of Development, 11(2), e78003. https://doi.org/10.34117/bjdv11n2-079

Shamsi, M. (2023). The impact of artificial intelligence on human resources management recruitment processes: a systemic review. Journal of Commerce, Management, and Tourism Studies, 2(2), 82–90. https://doi.org/10.58881/jcmts.v2i2.66 (Original work published August 1, 2023)

Simpson, E., Ermovick, R., & Sloane, M. (2025). Human Resource Management and AI: A Contextual Transparency Database. arXiv preprint arXiv:2511.03916. https://doi.org/10.48550/arXiv.2511.03916

sulistiarini, irna, & Isa Anshori, M. . (2025). Integrasi Kecerdasan Buatan Dalam Pengembangan Sumber Daya Manusia Sebagai Tantangan Dan Peluang Di Era Digital. Jurnal Akuntansi, Manajemen Dan Ilmu Ekonomi (Jasmien), 5(02), 189–196. https://doi.org/10.54209/jasmien.v5i02.1066

Wagan, S. M., & Sidra, S. (2025). Artificial Intelligence in Human Resource Management: A Systematic Review of Adoption, Impact, and Challenges. AYBU Business Journal, 5(2), 1-19. https://doi.org/10.61725/abj.1786837

Wayan Arya Paramarta, Ni Ketut Laswitarni, & Putu Mela Ratini. (2025). Reinventing Human Resource Management Through Artificial Intelligence: A Systematic Review of Drivers, Barriers, and Outcomes. International Journal of Economics, Commerce, and Management, 3(1), 07–17. https://doi.org/10.62951/ijecm.v3i1.1089

Wilda Bakti Puspitasari. (2025). Tantangan Kesiapan SDM Generasi Muda Indonesia Dalam Mengadopsi Teknologi AI: Systematic Literature Review. Jurnal Mahasiswa Manajemen, 6(02), 81–101. https://doi.org/10.30587/jmm.v6i02.11044

Yamin, M. (2025). INTEGRASI KECERDASAN BUATAN DALAM PROSES REKRUTMEN SDM: SEBUAH TINJAUAN SISTEMATIS [INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE HUMAN RESOURCE RECRUITMENT PROCESS: A SYSTEMATIC REVIEW]. Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research, 4(1), 301-316. https://doi.org/10.59027/al-ihtiram.v4i1.1054




DOI: https://doi.org/10.37531/bijac.v7i2.12333

Refbacks

  • Saat ini tidak ada refbacks.


Lisensi Creative Commons
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional
Web Analytics View My Stats
Alamat Penerbit / Pengelola : Jl. Meranti Raya No.1, Pandang, Panakkukang, Kota Makassar, Sulawesi Selatan 90231, Indonesia