MODELING THE TRANSFORMATION OF PROGRAM PERSONNEL MANAGEMENT PROCESSES IN A MULTIPROJECT ENVIRONMENT
Abstract
The article is devoted to the study of the transformation of HR management processes of programs in a multi-project environment. The purpose of the study is to develop a model of the transformation of HR management processes of programs in a multi- project environment. The study is based on the use of the project and program approaches to managing program projects, the methodological support for business process reengineering, the combinatorial analysis and optimization methods. The scientific novelty is the development of a set of models of transformations of management processes: a contextual model and a decomposition model of the transformation of HR management processes of programs in a multi-project environment. The study yielded results that contribute to improving the effectiveness of transformation. An analysis of approaches to studying transformation processes identified aspects that should be considered when developing an adaptive digital HR ecosystem. The structure and functions of an adaptive digital HR architecture are defined. Typical characteristics of an adaptive digital HR architecture for a multi-project environment are identified, and their classification is proposed. To formalize transformations, the contextual model for transforming HR management processes for programs in a multi-project environment was developed. A decomposition of the transformation processes was performed, and a model for transforming HR management processes for programs in a multi-project environment was constructed. Elements of a multi-agent transformation system were identified, and information support for transformation was considered. The application of reengineering to manage transformation processes is considered. The main stages of transformation are identified. Using the proposed models will formalize transformation processes and identify the starting point for transformations. The created TO BE process models, a register of transformation changes, and transformation recommendations will provide information and methodological support for management decision-making.
References
2. Панченко І., Кривенко Н. Формування стратегії управління персоналом в умовах цифрової трансформації бізнесу. Економіка та суспільство. № 69. 2024. https://doi.org/10.32782/2524-0072/2024-69-92
3. Криворучко О., Шморгун О. Conceptual provisions of HR strategy in the context of digitalisation. SWorldJournal. № 3(32–03). 2025. С. 142–153. https://doi.org/10.30888/2663-5712.2025-32-03-044
4. Кравчук О. I., Варіс, І. О., Рубель, К. О. Цифровізація менеджменту персоналу: концептуальні аспекти та тенденції. Проблеми сучасних трансформацій. Серія: економіка та управління. № 12. 2024. https://doi.org/10.54929/2786-5738-2024-12-07-04
5. A Guide to the Project Management Body of Knowledge (PMBOK Guide) Seventh Edition and The Standard for Project Management 2021.
6. Chang K., Cheng K., Sandland S. A critical review of artificial intelligence in people management. In HRM 5.0: Unpacking the digitalisation of human resource management. Springer Nature Switzerland. 2024. Рр. 35–56. https://doi.org/10.1007/978–3–031–58912–6_3
7. Chen W. Digital ecosystem. In Encyclopedia of big data (pp. 385–387). Springer International Publishing. 2022. https://doi.org/10.1007/978–3–319–32010–6_336.
8. Donnelly R., Hughes E. The HR ecosystem framework: Examining strategic HRM tensions in knowledge‐intensive organizations with boundary‐crossing professionals. Human Resource Management. 2022. https://doi.org/10.1002/hrm.22115.
9. Dotsenko N., Chumachenko I., Galkin A., Kuchuk H., Chumachenko D. Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment. Sustainability, 2023, 15(19), 14308; https://doi.org/10.3390/su151914308
10. Hughes L. et al. Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030. Journal of Innovation & Knowledge. № 10. 2025, 100772. https://doi.org/10.1016/j.jik.2025.100772
11. Karwal V. P., Kalucha C., Sharma C., Jain A., Komal Hariharan U. Multi-agent AI Framework for Developer Assistance: A New Paradigm in Software Engineering Automation. In: Swaroop, A., Virdee, B., Correia, S. D., Polkowski, Z. (eds) Proceedings of Data Analytics and Management. ICDAM 2025. Lecture Notes in Networks and Systems, vol 1603. Springer, Cham. 2026 https://doi.org/10.1007/978-3-032-03769-5_18
12. NIST Cybersecurity Framework v.1.1, Framework for Improving Critical Infrastructure Cybersecurity 13. Sienkiewicz Ł. Algorithmic human resources management. In HRM 5.0: Unpacking the digitalisation of human resource management. Springer Nature Switzerland. 2024. Рp. 57–85. https://doi.org/10.1007/978–3–031–58912–6_4
14. Sołtysik M., Tyrańska M., Piwowar-Sulej K., Agustina T. S. Sustainable human resource management: Strategy, organizational innovation and leadership in industry 5.0. Routledge. 2024. https://doi.org/10.4324/9781003458432
ISSN 


