Human–AI Collaboration dalam Praktik Digital HRM
Abstract
Transformasi digital dalam manajemen sumber daya manusia (HRM) semakin dipercepat dengan kehadiran artificial intelligence (AI). Namun, penggunaan AI tidak hanya sekadar menggantikan peran manusia melalui automasi, melainkan juga membuka paradigma baru berupa Human–AI Collaboration (HAC). Penelitian ini bertujuan mengeksplorasi peluang, tantangan, serta implikasi strategis dari penerapan HAC dalam praktik Digital HRM. Dengan menggunakan pendekatan kualitatif normatif-eksploratif berbasis kajian pustaka, data dikumpulkan melalui telaah literatur dari jurnal internasional bereputasi, buku akademik, serta laporan industri yang relevan. Analisis data dilakukan dengan teknik analisis isi untuk mengidentifikasi pola temuan dan membangun kerangka konseptual.
Hasil penelitian menunjukkan bahwa HAC menghadirkan berbagai peluang, termasuk peningkatan efisiensi administrasi, pengambilan keputusan berbasis data, personalisasi pengalaman karyawan, serta penguatan strategi pengelolaan talenta. Namun demikian, implementasi HAC juga menghadapi tantangan serius, seperti risiko bias algoritmik, isu privasi data, keterbatasan transparansi sistem, resistensi budaya organisasi, hingga ketidakjelasan regulasi. Penelitian ini menawarkan model konseptual yang menekankan keseimbangan antara tiga dimensi utama: teknologi, manusia, dan organisasi. Model ini menempatkan AI sebagai pendukung keputusan, sementara manusia tetap menjadi aktor sentral yang memberikan arahan etis, sosial, dan strategis. Implikasi dari penelitian ini adalah perlunya reposisi fungsi HR sebagai mitra strategis dalam tata kelola AI, serta urgensi program reskilling dan upskilling bagi karyawan. Dengan manajemen yang tepat, HAC berpotensi menjadikan HRM lebih produktif, etis, inklusif, dan berkelanjutan.
References
Ibne, A., Hridoy, S. & Kibria, U. (2025a). The Future of HR: Human-AI Collaboration in HR Management. https://www.researchgate.net/publication/391754635
Inzamam Khan, M., Parahyanti, E. & Hussain, S. (2024a). The Role Generative AI in Human Resource Management: Enhancing Operational Efficiency, Decision-Making, and Addressing Ethical Challenges. In Asian Journal of Logistics Management (Vol. 3, Issue 2).
Isa, M. & Ar Rahmah, F. (2023). Knowledge Management and Organizational Performance: The Mediating Role of Dynamic Capabilities. JBTI : Jurnal Bisnis : Teori Dan Implementasi, 14(3), 478–492. https://doi.org/10.18196/jbti.v14i3.20404
Jarrahi, M. H. & Sutherland, W. (2019). Algorithmic Management and Algorithmic Competencies: Understanding and Appropriating Algorithms in Gig Work. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11420 LNCS, 578–589. https://doi.org/10.1007/978-3-030-15742-5_55
Jovari, B. (2024a). Artificial Intelligence Ethics in Organizational Human Resources Management. International Journal of Management, Accounting and Economics, 11(7), 2383–2126. https://doi.org/10.5281/zenodo.12752414
Kareem, M. A. & Kummitha, H. V. R. (2020). The Impact of Supply Chain Dynamic Capabilities on Operational Performance. Organizacija, 53(4), 319–331. https://doi.org/10.2478/orga-2020-0021
Khan, K., Khan, Q., Jamil, S. H. & Akbar, S. (2024). A study on high performance organization framework and organization performance: lens of dynamic capability theory. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2023.2285415
Kongrode, J., Aujirapongpan, S. & Ru-Zhue, J. (2023). Exploring the impact of dynamic talent management capability on competitive performance: The mediating roles of dynamic marketing capability of startups. Journal of Competitiveness, 15(1). https://doi.org/10.7441/joc.2023.01.07
Lin, C. P. & Chen, P. C. (2025). Mentoring for effective human-AI collaboration: an integrated theoretical framework. Total Quality Management and Business Excellence. https://doi.org/10.1080/14783363.2025.2504603
Liu, D. & Son, S. (2024). Exploring the impact mechanism of collaborative robot on manufacturing firm performance: A dynamic capability perspective. Sustainable Futures, 8. https://doi.org/10.1016/j.sftr.2024.100262
Madanchian, M. & Taherdoost, H. (2025a). Barriers and Enablers of AI Adoption in Human Resource Management: A Critical Analysis of Organizational and Technological Factors. Information (Switzerland), 16(1). https://doi.org/10.3390/info16010051
Mollah, M. A., Rana, M., Amin, M. Bin, Sony, M. M. A. A. M., Rahaman, M. A. & Fenyves, V. (2024). Examining the Role of AI-Augmented HRM for Sustainable Performance: Key Determinants for Digital Culture and Organizational Strategy. Sustainability (Switzerland), 16(24). https://doi.org/10.3390/su162410843
Nadya, A. & Farozin, M. (2021). Career guidance conceptualization to improve career adaptability for generation z. Journal of Professionals in Guidance and Counseling, 2(1), 20–26. https://doi.org/10.21831/ProGCouns
Olawale, S. R., Chinagozi, O. G. & Joe, O. N. (2023). Exploratory Research Design in Management Science: A Review of Literature on Conduct and Application. International Journal of Research and Innovation in Social Science, VII(IV), 1384–1395. https://doi.org/10.47772/ijriss.2023.7515
Rogers, E. W. & Wright, P. (2011). Strategic Human Resource Management. https://www.researchgate.net/publication/37149434
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Teklehaimanot Tesfa, M., Sibhato Gebremichael, H., Tsegay Beyene, K., Gebreazgi Gebreslassie, L. & Berhanu Hailu, Y. (2025). The Role of SMEs’ Dynamic Capabilities on their Entrepreneurial Capabilities and Competitiveness. Momona Ethiopian Journal of Science, 17(1), 171–194. https://doi.org/10.4314/mejs.v17i1.11
Tinguely, P. N., Lee, J. & He, V. F. (2023a). Designing human resource management systems in the age of AI. Journal of Organization Design, 12(4), 263–269. https://doi.org/10.1007/s41469-023-00153-x
Tworek, K., Bienkowska, A., Hawrysz, L. & Maj, J. (2023). The Model of Organizational Performance Based on Employees’ Dynamic Capabilities-Verification During Crisis Caused by Black Swan Event. IEEE Access, 11, 45039–45055. https://doi.org/10.1109/ACCESS.2023.3273608
Wang, G., Niu, Y., Mansor, Z. D., Leong, Y. C. & Yan, Z. (2024). Unlocking digital potential: Exploring the drivers of employee dynamic capability on employee digital performance in Chinese SMEs-moderation effect of competitive climate. Heliyon, 10(4). https://doi.org/10.1016/j.heliyon.2024.e25583
Wei, H. & Chen, C. (n.d.). Ethical Concerns Upon Artificial Intelligence Empowered Human Resource Management: A Qualitative Study Among Middle-Level Managers From Beijing Technology Companies. www.ijfmr.com
Wen, Y., Wang, J. & Chen, X. (2025). Trust and AI weight: human-AI collaboration in organizational management decision-making. Frontiers in Organizational Psychology, 3. https://doi.org/10.3389/forgp.2025.1419403
Zhang, X., He, X., Du, X., Zhang, A. & Dong, Y. (2023). Supply chain practices, dynamic capabilities, and performance: The moderating role of big data analytics. Journal of Organizational and End User Computing, 35(3). https://doi.org/10.4018/JOEUC.325214
Copyright (c) 2025 Anwar Sadad, Yoga Restu Fauzi, Annisa Fitri Anggraeni, Deden Komar Priatna
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
