This study is dedicated to analysing Ukraine’s transition to utilising renewable energy sources within the broader context of European integration, the decarbonization process, and the challenges significantly intensified by the full-scale Russia-Ukraine war in 2022. The objective of this study is to assess the effectiveness of managing Ukraine’s energy transition compared with selected European Union countries and to identify governance-related determinants of transition performance. The energy transition process is viewed as a cornerstone for ensuring national resilience, food security, and strategic post-war recovery planning. Despite significant growth rates in installed capacity, stimulated primarily by the implementation of green tariffs and foreign investments, Ukraine faces a range of systemic barriers. These include regulatory uncertainty, war-related infrastructure damage, and institutional fragility. To comprehensively assess managerial effectiveness, a comparative approach is employed, integrating data from the Energy Transition Index, the Worldwide Governance Indicators, and the Bertelsmann Transformation Index for the period 2015–2023. Within the scope of this research, a comparative analysis is conducted of Ukraine with Poland, Romania, and Slovakia, countries that share a post-socialist legacy and experience in European integration. The obtained results demonstrate that, although Ukraine exhibits a relatively high growth index for renewable energy development, at 54.56%, it significantly lags behind its regional partners in the parameters of quality of state governance, policy implementation consistency, and strategic coordination. It is concluded that managerial effectiveness, defined as the complex interplay between institutional capacity, policy stability, and implementation efficiency, is a decisive factor for the success of the energy transition. The research recommendations encompass enhancing regulatory transparency, strengthening strategic planning, and intensifying the attraction of international investments.

Актуальність дослідження зумовлена зростаючою потребою у підвищенні якості управлінських рішень у кризових умовах, коли від керівників вимагається не лише професійна компетентність, але й висока психологічна витривалість. У сучасному світі, що характеризується постійною турбулентністю, цифровими трансформаціями, глобальними викликами та нестабільністю, традиційні моделі лідерства втрачають ефективність. Це актуалізує необхідність пошуку нових підходів до формування емоційно стійких управлінців, здатних адаптуватися до змін і приймати зважені рішення в умовах стресу та невизначеності. У цифровій реальності штучний інтелект (ШІ) розглядається як ефективний інструмент підтримки управлінців, що дає змогу прогнозувати ризики, аналізувати емоційні сигнали та формувати індивідуалізовані стратегії розвитку емоційних компетенцій. Інтеграція ШІ у процеси підготовки лідерів забезпечує поєднання аналітичної точності з психологічними підходами до формування лідерських якостей, що є критично важливим у ситуаціях невизначеності та турбулентності. Мета статті полягає у науковому обґрунтуванні та розробленні концептуальної моделі інтеграції ШІ для розвитку емоційно стійкого лідерства у системі кризового менеджменту з урахуванням викликів цифрової трансформації та зростання потреби в персоналізованих управлінських стратегіях. Методологія дослідження включає контент-аналіз наукових джерел, системно-структурний аналіз концепцій емоційної компетентності та порівняльне вивчення сучасних технологій ШІ, що застосовуються у навчанні лідерів і моделюванні кризових ситуацій. У висновках зазначено, що інтеграція ШІ в розвиток управлінських компетентностей посилює ефективність кризового менеджменту та сприяє емоційній стабільності лідерів. Серед основних проблем окреслено алгоритмічні упередження, непрозорість процесів та необхідність формування етичних стандартів щодо роботи з емоційними даними. Подальші дослідження мають бути спрямовані на апробацію моделі в освітніх і корпоративних програмах, а також на розроблення гібридних платформ, що поєднують ШІ з коучингом і психологічною підтримкою.

Problem statement. A lack of professional practicing in the course of studies was identified by nursing students, educators, practitioners and other stakeholders as one of the main challenges in higher and continuous nursing education. Quite often, graduates of nursing colleges, institutes and academies come to work without stable practical skills. After all, nursing curriculum focuses mostly on teaching in a speculative, abstract manner. As of February 24, 2022, in connection with the full-scale invasion of the Russian Federation on the territory of Ukraine, nursing students are actually deprived of the opportunity to work at the patient’s bedside, develop practical skills in a real environment. The inconsistency of the education content and educational paradigm in Ukraine with the most recent world trends in nursing and current health care needs is a concern to be addressed. The solution of the stated problem can be achieved through introducing a system of dual nursing education based on equal and responsible partnership between nursing educators and practitioners. Analysis of the latest literature on the issue raised in the article shows a strong interest of Ukrainian scientific community in many dual education concepts, including nursing. The problem of introduction and peculiarities of dual education is addressed in the papers of G.G. Oleskova, M.A. Azhazhi, Y.O. Dovgenko, L.I. Yaremenko, Y.V. Yare- menko, O.L. Kravchenko, L. V. Martsenyuk and O. V. Gruzdev. However, despite a significant number of research papers highlighting various problematic aspects of the dual education system, the research of dual education during the training of nurses has been covered inadequately. Presenting main material. The term of «dual system» comes from the Latin «dualis», double. This system, which provides for the coordinated interaction of the educational and industrial spheres in the training of qualified personnel of a certain profile within the framework of organizationally different forms of training was developed in the mid-60s of the last century in the Federal Republic of Germany (FRG). Subsequently, this system was adopted by Canada, Austria, Switzerland, and other countries. The development of the dual education system in Ukraine was commenced in 2015. Since the very beginning, dual education has been considered effective for applied specialties related to production. Nursing care can be interpreted as the production of a certain list of services by nursing staff, and therefore the dual education system can be applied to the training of nurses. The first step in introducing the dual form of nursing education should be a joint decision made by the educational institution and the employer. Next, it is required to monitor the labor market potential, determine the list of specialties (professions) for which educational programs of the dual form of education will be developed, approve their list, adopt relevant internal documents, and conclude relevant agreements. The implementation of the dual educational process involves the development of an educational program meeting professional standards and requirements for the competencies of future nursing professionals. Conclusions and prospects for further research. The introduction of a dual education system in nursing will improve the practical training of nursing staff, align the same with the practical medicine standards and the labor market requirements, contribute to the updating of academic content, increase the competitiveness of graduates of nursing educational institutions, as well as encourage students to study. In response to the challenges of nursing development, to promote the introduction of a dual education system in the training of nurses, it is advisable to hold more conferences and round tables, as well as create platforms for interaction between all stakeholders who care about nursing.

Ukraine’s renewable electricity transition combines decarbonisation with wartime resilience and post-war reconstruction. This study examines the relationship between installed renewable capacity and realised electricity generation using a structured institutional diagnostic; a same-year 2023 benchmark with Poland, Romania, and Slovakia; the capacity-realisation index (CRI); the capacity-deficit ratio (CDR); and the exploratory k-means clustering of 42 European electricity systems. The clustering model uses four non-overlapping 2023 capacity variables—renewable hydropower, onshore wind, solar PV, and bioenergy—while treating pure pumped storage separately as a flexibility characteristic. Renewables accounted for 24.8% of Ukraine’s installed electricity capacity and 18% of generation in 2023, yielding a CRI of 0.73, compared with 0.59 in Poland, 0.76 in Romania, and 0.68 in Slovakia. Ukraine therefore does not exhibit uniquely weak capacity–generation alignment within the selected benchmark. Nevertheless, the summer 2024 CDR of 19.2% and Energy Community scores of 72% for decarbonisation, 56% for markets, and 26% for energy security document substantial system stress. In the exploratory k = 3 solution (silhouette = 0.645), Ukraine belongs to a 33-case cluster and lies 0.563 standardised units from its centroid. The combined evidence is consistent with, but does not prove, constraints related to settlement discipline, grid evacuation, balancing, project bankability, and wartime security. Policy priorities include audited arrears resolution, financeable auctions and PPAs, curtailment and war-risk provisions, targeted grid reinforcement, competitive flexibility procurement, and solar-plus-storage systems for critical facilities.

The theoretical foundations of the implementation of federated learning in the processes of managerial decision-making in the public sector are considered. The role of artificial intelligence in digital governance is highlighted, attention is focused on the advantages and challenges of using federated learning, in particular regarding confidentiality, data security and efficiency of information processing. An analysis of modern research is conducted and the prospects for the application of federated learning in public administration are identified. The results of the study may be useful for scientists, public servants and policymakers who seek to improve the efficiency of decision-making using innovative technologies.