A MODEL OF HYBRID INTELLIGENCE IN AN ENTERPRISE’S HUMAN RESOURCE MANAGEMENT SYSTEM AS A TOOL FOR ENHANCING THE FLEXIBILITY OF MANAGEMENT DECISIONS IN A CONSTANTLY CHANGING ENVIRONMENT

Abstract

This article examines the theoretical, methodological, and practical aspects of integrating hybrid intelligence into an enterprise’s human resource management system amid constant changes in the external environment, the digital transformation of the economy, and increasing uncertainty in business processes. It is shown that the current stage of management system development is characterized by a transition from traditional models of personnel administration to intelligent HR platforms that combine the analytical capabilities of artificial intelligence with human managerial experience, intuition, and emotional intelligence.

It has been established that the synergistic combination of human and artificial intelligence forms the concept of hybrid intelligence, which contributes to increasing the flexibility, adaptability, and strategic resilience of the human resources management system. The paper analyzes current trends in the use of artificial intelligence (AI) technologies in the processes of recruitment, competency assessment, employee turnover forecasting, performance management, and personnel development.

The advantages of automated processing of large datasets to support managerial decision-making are highlighted, as are the limitations of fully automating HR functions without taking into account socio- psychological and ethical factors. The paper argues for the feasibility of transitioning to a hybrid management model that integrates the analytical precision of digital tools with a manager’s strategic thinking, ensuring a comprehensive approach to optimizing human resources management processes.

The scientific novelty of this study lies in clarifying the meaning of the term “hybrid intelligence” in the context of human resource management, developing a conceptual approach to its implementation, and identifying mechanisms for the interaction between human and artificial intelligence as a tool for ensuring flexible enterprise management in a dynamic and uncertain environment. The practical significance of this work lies in providing methodological recommendations for the implementation of hybrid HR solutions, which allow for improving the effectiveness of management decisions, reducing the risks of personnel turnover, and optimizing personnel development processes.

The study examines the prospects for the further development of hybrid management models, their scaling in large and medium-sized enterprises, as well as their integration with other digital transformation systems to ensure the sustainable development of organizations in the new economic environment.


References

1. Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), аvailable at: https://doi.org/10.1016/j.bushor.2018.03.007
2. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, January-February, аvailable at: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
3. World Economic Forum. (2023). The Future of Jobs Report 2023. Geneva, аvailable at: https://www.weforum.org/reports/the-future-of-jobs-report-2023
4. Kolot, A. M., & Herasymenko, O. O. (2022). Employment model of the 21st century: Transformational effects of digitalization. Economics and Entrepreneurship, 49, аvailable at: https://ir.kneu.edu.ua/handle/2010/38640
5. Derhachova, H. M., & Koleshnia, Ya. O. (2020). Digital transformation of business: Essence, characteristics, requirements, and technologies. Economic Bulletin of NTUU “KPI”. https://doi.org/10.20535/2307- 5651. 17.2020.216367, аvailable at: https://ev.fmm.kpi.ua/article/view/216367
6. Panchenko, I., & Kryvenko, N. (2024). Formation of personnel management strategy under conditions of digital business transformation. Digital Economy and Economic Security, 6(15), аvailable at: https://ouci.dntb.gov.ua/works/98aORp17/
7. Karpenko, O. V., Herman, D. V., Hamkrelidze, K. Yu., Shulha, L. P., & Burtova, O. Ye. (2025). Hybrid intelligence as a tool for digital development of public participation in public administration. Strategy of Economic Development of Ukraine, 56, 74–82. https://doi.org/10.33111/sedu.2025.56.074.082, аvailable at: https://ir.kneu.edu.ua/handle/2010/52012
8. Kobelia, Z. I., & Zakharchuk, O. H. (2024). Artificial intelligence as a tool for managing human resources under conditions of uncertainty. Scientific Bulletin of Yurii Fedkovych Chernivtsi National University. Series: Economics, аvailable at: https://doi.org/10.32782/ecovis/2024-2-5
9. Chernenko, N. I. (2022). Artificial intelligence in personnel management. Taurian Scientific Bulletin. Series: Economics, 12, аvailable at: https://ouci.dntb.gov.ua/en/works/4NrJZdV4/
10. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, January-February, аvailable at: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
11. World Economic Forum. (2023). The Future of Jobs Report 2023, аvailable at: https://www.weforum.org/publications/the-future-of-jobs-report-2023/
12. Kravchuk, O. I., Varis, I. O., & Rubel, K. O. (2024). Digitalization of personnel management: Conceptual aspects and trends. Problems of Modern Transformations. Series: Economics and Management, 12. https://doi.org/10.54929/2786-5738-2024-12-07-04, аvailable at: https://reicst.com.ua/pmt/article/view/2024-12-07-04
13. National Agency of Ukraine on Civil Service. (2025). Recommendations for the responsible use of artificial intelligence in human resource management. December, аvailable at: https://storage.thedigital.gov.ua/files/4/54/747daa2d949a8b4046ce7aed873aa54c.pdf
14. Kotovska, I. V. (2024). Prospects for the use of artificial intelligence in personnel management: Analysis of advantages, risks, and development prospects. Economy and Society, 68, аvailable at: https://doi.org/10.32782/2524- 0072/2024-68-178
15. Kovalenko, O. V., Pylypenko, I. V., & Sydorenko, M. M. (2025). Digitalization of personnel management: Conceptual aspects. Energy Saving. Energy. Energy Audit, 12(215), аvailable at: https://ouci.dntb.gov.ua/works/98aORp17
16. Kravchuk, O. I. (2025). HRM 5.0: Digital ecosystem of personnel management and formation of the workforce of the future. Institutional Repository of Kyiv National Economic University named after Vadym Hetman, аvailable at: https://ir.kneu.edu.ua/items/6b09fa6f-3586-46fa-861b-b42b44007122