Вісник Національного технічного університету «ХПІ». Серія: Стратегічне управління, управління портфелями, програмами та проектами
Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/79789
Офіційний сайт http://pm.khpi.edu.ua/
Збірник присвячений проблемам управління розвитком компаній, територій і держав. Розглядаються питання створення методологій управління розвитком, вибору кращих методологій для застосування на конкретних об'єктах, математичного моделювання процесів і явищ, застосування математичних методів дослідження операцій, математичної статистики, вирішення практичних задач.
Рік заснування: 2013. Періодичність: 2 рази на рік. ISSN 2311-4738, e-ISSN 2413-3000
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Документ Project management models for development projects in self-managed organizations in a syncretic context(Національний технічний університет "Харківський політехнічний інститут", 2024) Bushuyev, Sergey Dmitrievich; Ivko, Andrii VolodymyrovychThe relevance of developing models and methods of syncretic management for development projects of self-managed organizations is justified. The practical value of such models for infrastructure restoration projects in Ukraine is emphasized. The methodological approach of syncretic management to the implementation of infrastructure restoration projects was proposed, an analysis of the environment for the implementation of development projects of self-managed organizations was carried out, including the characteristics of the environment of the management models of development projects, suitable models of the life cycle of development projects and the main elements of the self-managed approach for use in the studied projects. Three characteristics of the life cycle model for development projects of self-managed organizations are defined, and a four-phase model is proposed: initialization, implementation, testing, and closure. The main elements of the self-managed approach were identified for use in the studied projects, consisting of seven such elements: the use of the principle of self-management, collegial decision-making, the absence of a formal leader, the assumption of responsibility by members of a self-managed team, self-determination of motivation, the use of holacracy models and methods, independent development of competence by participants teams Two models were proposed - α-model and β-model of management of development projects of self-managed organizations in a syncretic context. Visualization of the specified models, their description and comparative characteristics were provided. In the development of this approach, a complex model of management of development projects of self-managed organizations was also formalized in a syncretic context, in the form of a formal eight using set theory. a SWOT analysis of the proposed models was carried out, their strengths and weaknesses, opportunities and threats that may arise as a result of their use were highlighted. A conclusion was made based on the results of the SWOT analysis. Prospects for further research in the chosen direction were formulated. It was determined that the qualified implementation of the mentioned developments in the practice of infrastructure restoration projects will potentially increase the effectiveness of such projects and portfolios of such projects.Документ Strategic project management development under influence of artificial intelligence(Національний технічний університет "Харківський політехнічний інститут", 2024) Bushuyev, Sergey Dmitrievich; Bushuyev, Dennis Antonovich; Bushuyeva, Victoria Borysivna; Bushuyeva, Nataliia Serhiivna; Tykchonovych, Yuriy StanislavovychThis paper explores the dynamic intersection of artificial intelligence (AI) and strategic project management (SPM), investigating the transformative effects of AI technologies on traditional project management practices. As organizations navigate an increasingly complex and fast-paced business environment, the integration of AI in SPM emerges as a catalyst for efficiency, adaptability, and informed decision-making. The study delves into key facets of SPM influenced by AI, including data-driven decision-making, predictive analytics, automation of routine tasks, and resource optimization. The role of AI in risk management, particularly in identifying, assessing, and mitigating project risks, is examined in detail. Furthermore, the paper explores how natural language processing (NLP) fosters enhanced communication within project teams, contributing to a more collaborative and connected working environment. Adaptive project planning, facilitated by AI, is investigated as a mechanism for responding to evolving project dynamics in real-time. The paper underscores the importance of continuous monitoring and reporting enabled by AI, providing project managers with timely insights for strategic adjustments. The concept of continuous improvement, driven by AI-driven analytics, is explored as organizations seek to refine and optimize their project management approaches based on past experiences. Ethical considerations and responsible AI practices are emphasized as integral components of AI integration in SPM. The paper concludes by highlighting the synergistic potential of human expertise and AI capabilities, envisioning a future where organizations can leverage AI to achieve more adaptive, efficient, and successful project outcomes. This comprehensive review aims to contribute to the understanding of AI's transformative influence on strategic project management, providing insights for practitioners, researchers, and organizations seeking to navigate the evolving landscape of project management in the era of artificial intelligence.