Strategically Integrating AI, Digital Twins, and Hybrid Work Design in Human Resource Administration

Isa Kholili; Hamdan Arif Fatoni

doi:10.54471/idarotuna.v7i1.191

Authors

Isa Kholili Universitas Modern Al Rifa`ie, Indonesia
Hamdan Arif Fatoni Universitas Modern Al Rifa`ie, Indonesia

DOI:

https://doi.org/10.54471/idarotuna.v7i1.191

Keywords:

Strategic AI Integration, Digital Twins in HR, Hybrid Work Design

Abstract

The literature on AI-driven Human Resource Administration remains fragmented across strategic HRM, information systems, and ethics, lacking an integrative framework. This study synthesizes 122 sources through systematic, multidisciplinary thematic synthesis, consolidating findings across four interconnected dimensions: AI-driven reconfiguration of recruitment, training, and performance management; strategic realignment of HRA toward agility and sustainability; hybrid job design as a boundary condition involving autonomy and well-being; and ethical governance challenges surrounding algorithmic bias, explainability, and data privacy. The synthesis reveals that strategic value depends on three synergistic mechanisms—human-AI collaboration preserving contextual judgment, adaptive hybrid job design fostering productivity and mental health, and human-centered governance ensuring fairness. Critical gaps emerge, including scarce longitudinal evidence on digital twin effectiveness, under-theorized cross-cultural AI ethics, and weak sustainability metric integration. We propose an “Ethically-Augmented Strategic HRA” model bridging these domains and outline a targeted research agenda. The paper contributes by integrating strategic HRM, technology management, and ethics literatures, offering actionable pathways for practitioners and policymakers.

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References

Aftimos, S., & Diab-Bahman, R. (2025). AI-driven talent management: Transforming workforce strategies in the digital age. Applied Human Factors and Ergonomics International, 51–58. https://doi.org/10.54941/ahfe1006110

Alaghbari, M. A., Ateeq, A., Alzoraiki, M., Milhem, M., & Beshr, B. A. H. (2024). Integrating technology in human resource management: Innovations and advancements for the modern workplace. 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS 2024), 307–311. https://doi.org/10.1109/ICETSIS61505.2024.10459498

Alsubaie, N., & Aleisa, N. (2025). Mitigating bias in AI model using explainable AI in terms of hiring process in the industry. IEEE Access, 147218–147241. https://doi.org/10.1109/ACCESS.2025.3599947

Anitha, K., & Monisha, J. (2024). The future of HR: From human resources to human enhancement. In Enhancing the Modern Workforce Through Transhumanism (pp. 335–356). IGI Global. https://doi.org/10.4018/979-8-3693-8855-6.ch015

Baghbanzadeh, A., & Wu, D. (2026). Resume-job compatibility scoring using graph neural networks and large language models. In Proceedings of the 13th International Conference on Information Technology: IoT and Smart City (pp. 182–187). https://doi.org/10.1145/3787330.3787359

Barbaros, M. C. (2020). Does employer branding beat head hunting? The potential of company culture to increase employer attractiveness. Journal of Entrepreneurship, Management and Innovation, 16(4), 87–112. https://doi.org/10.7341/20201643

Bevara, R. V. K., Mannuru, N. R., Karedla, S. P., Lund, B., Xiao, T., Pasem, H., Dronavalli, S. C., & Rupeshkumar, S. (2025). Resume2Vec: Transforming applicant tracking systems with intelligent resume embeddings for precise candidate matching. Electronics, 14(4). https://doi.org/10.3390/electronics14040794

Bhati, B., Agarwal, P., & Poghosyan, H. V. (2026). Designing a digital twin strategy for HR transformation. In HR 5.0 Integration: Unleashing the Potential of the Digital Twin Revolution (pp. 77–91). Emerald Publishing. https://doi.org/10.1108/978-1-83708-112-720261005

Bilderback, S. (2024). Integrating training for organizational sustainability: The application of sustainable development goals globally. European Journal of Training and Development, 48(7/8), 730–748. https://doi.org/10.1108/EJTD-01-2023-0005

Bussler, L., & Davis, E. (2001). Information systems: The quiet revolution in human resource management. Journal of Computer Information Systems, 42(2), 17–20. https://doi.org/10.1080/08874417.2002.11647482

Chen, J. (2024). A study on protection of enterprise human resource data on web platforms through anonymity algorithms. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 141–156.

De Silva, W. R. H., & Athuraliya, B. (2025). Enhanced employee performance management system with AI driven analytics. 2025 International Conference on Data Science, Agents and Artificial Intelligence (ICDSAAI 2025). https://doi.org/10.1109/ICDSAAI65575.2025.11011577

Fares, N. Y., Moore, S. A., & Jammal, M. (2025). Mitigating bias in AI recruitment: Leveraging LIME for fair and transparent hiring models. In Lecture Notes in Networks and Systems (pp. 448–464). Springer. https://doi.org/10.1007/978-3-031-99958-1_29

French, P. E., & Goodman, D. (2012). An assessment of the current and future state of human resource management at the local government level. Review of Public Personnel Administration, 32(1), 62–74. https://doi.org/10.1177/0734371X11421499

Gélinas, D., Sadreddin, A., & Vahidov, R. (2022). Artificial intelligence in human resources management: A review and research agenda. Pacific Asia Journal of the Association for Information Systems, 14(6), 1–42. https://doi.org/10.17705/1pais.14601

Green, K. W., Wu, C., Whitten, D., & Medlin, B. (2006). The impact of strategic human resource management on firm performance and HR professionals’ work attitude and work performance. International Journal of Human Resource Management, 17(4), 559–579. https://doi.org/10.1080/09585190600581279

Holman, D., Davis, M., Escaffi-Schwarz, M., & Ono, M. (2026). The hybrid workspace: Testing an activity-based model of hybrid workspace design. European Journal of Work and Organizational Psychology. https://doi.org/10.1080/1359432X.2026.2648294

Knight, C., McLarnon, M. J., Olaru, D., Lee, J. A., & Parker, S. K. (2025). Hybrid work design profiles: Antecedents and well-being outcomes. Journal of Vocational Behavior. https://doi.org/10.1016/j.jvb.2025.104174

Milhem, M. (2025). Strategic human resource management: Fostering organizational success through alignment and innovation. In Studies in Systems, Decision and Control (pp. 425–433). Springer. https://doi.org/10.1007/978-3-031-71318-7_40

Mureddu, F., Paciaroni, A., Pavelka, T., Pemberton, A., & Remotti, L. A. (2025). Rights and responsibilities: Legal and ethical considerations in adopting local digital twin technology. In Decide Better: Open and Interoperable Local Digital Twins (pp. 291–318). Springer. https://doi.org/10.1007/978-3-031-81451-8_11

Napathorn, C. (2020). How do MNCs translate corporate talent management strategies into their subsidiaries? Evidence from MNCs in Thailand. Review of International Business and Strategy, 30(4), 537–560. https://doi.org/10.1108/RIBS-04-2020-0043

Noblit, G. W., & Hare, R. D. (1988). Meta-ethnography: Synthesizing qualitative studies. Sage Publications.

Pramanik, S. (2024). Examining HRM practices in the contemporary era with regard to technological development and innovation. In Organizational Behavior and Human Resource Management for Complex Work Environments (pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3693-3466-9.ch001

Priya, M., & Jayalakshmi, G. (2024). Exploring innovative practices in digital human resource management. In Public Sector and Workforce Management in the Digital Age (pp. 137–155). IGI Global. https://doi.org/10.4018/979-8-3373-1137-1.ch007

Rostamzadeh, R., Alizadeh, F. K., Keivani, S., & Isavi, H. (2025). The role of artificial intelligence in improving organizational behavior: A systematic study. Human Behavior and Emerging Technologies. https://doi.org/10.1155/hbe2/8094428

Sachdeva, C., Grover, V., Balusamy, B., Gangwar, V. P., & Kumar, P. (2026). HR 5.0 integration: Unleashing the potential of the digital twin revolution. Emerald Publishing. https://doi.org/10.1108/978-1-83708-112-7

Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, 45. https://doi.org/10.1186/1471-2288-8-45

Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356–367. https://doi.org/10.1177/1534484305278283

Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., ... Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467–473. https://doi.org/10.7326/M18-0850

Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553. https://doi.org/10.1111/j.1365-2648.2005.03621.x

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage Publications.

Yorks, L., & Jester, M. Y. (2024). Applying generative AI ethically in HRD practice. Human Resource Development International, 27(4), 410–427. https://doi.org/10.1080/13678868.2024.2337963.