Tetyana Mayboroda

This paper summarizes the arguments in the scientific discussion of educational leadership as an interdisciplinary, dynamically developing research field. The main purpose of the research is to conduct a bibliometric and terminological analysis of scientific publications on “educational leadership” indexed in the Scopus database during 2010–2025 in order to identify the structural characteristics of the research domain, thematic clusters, and the main directions of its development. Systematization of the literature sources and approaches to solving the problem indicates that, despite the significant number of studies, the scientific discourse remains fragmented and lacks a holistic understanding of its internal structure and conceptual interrelations. The relevance of this scientific problem lies in the need to systematize and structurally interpret the rapidly expanding knowledge base in educational leadership under conditions of globalization and digital transformation. Investigation of the topic in the paper is carried out in the following logical sequence: analysis of theoretical approaches to educational leadership, bibliometric assessment of publication activity, visualization and clustering of key terms, identification of dominant research foci, and knowledge mapping of knowledge within the field. Methodological tools of the research include bibliometric analysis, term co-occurrence analysis, clustering techniques, and visualization using specialized software. The research period covers 2010–2025, which represents the most intensive stage of development of the scientific discourse. The object of research is the body of scientific publications indexed in the Scopus database, which provides a representative and high-quality empirical basis for analyzing global academic trends. The paper presents the results of an empirical analysis of 3130 publications, which showed a significant increase in scientific interest in educational leadership and revealed six major thematic clusters: effectiveness and achievement; educational leadership; higher education context; leadership development; inclusive educational environment; and competencies and programs. The research empirically confirms and theoretically supports the claim that the contemporary scientific discourse on educational leadership is characterized by a shift toward an integrative understanding that combines outcome-oriented, processmanagement, and human-centered dimensions. Knowledge mapping enabled the identification of the research field's internal logic and the interconnections among its components. The scientific novelty of the study lies in combining bibliometric analysis with knowledge mapping, which enabled moving from a descriptive analysis of publication activity to the interpretation of the architecture of the scientific field. The results of the study can be useful for researchers in identifying promising areas for further investigation, for educators and policymakers in designing leadership development programs, and for educational institutions in developing strategic management approaches based on evidence-based insights.

Aim of the study: to substantiate the theoretical and methodological foundations for optimizing resource management in healthcare facilities based on the integration of ecosystem and project-oriented approaches, and to determine their role in shaping an adaptive, resilient, and value-oriented resource-management model under conditions of contemporary challenges. Object of the study: the mechanisms and processes of resource management in healthcare facilities operating within a multi-level ecosystem of interconnected stakeholders under conditions of digital transformation, resource scarcity, and institutional complexity. Results: A bibliometric analysis of the Scopus database confirmed the rapid yet structurally disjointed growth of research on ecosystem-based healthcare resource management, with limited integration of project-oriented perspectives. Based on a narrative synthesis of the ecosystem and project-oriented literature, an original definition of the ecosystem approach to healthcare resource management was proposed, and a conceptual framework was developed identifying the societal, healthcare-system, digital-transformation, and sustainability-related drivers, internal and external resources, and governance mechanisms underlying the healthcare ecosystem. This framework was formalized as a normative economic-mathematical optimization model combining a Cobb–Douglas-type resource-synergy function with the project-management «iron triangle» (time–cost–quality) and Lagrangian optimality conditions. Within the assumptions of this normative model, resource-management optimization in a healthcare facility is shown to require the simultaneous, rather than isolated, application of project-oriented and ecosystem approaches; empirical validation of this result remains a task for future research. Conclusions he bibliometric analysis confirms that ecosystem-based healthcare resource management is a rapidly growing but thematically siloed research field, with no unified node connecting ecosystem thinking and project-oriented management. Ecosystem and project-oriented approaches are complementary rather than competing management paradigms, jointly reinforced by volatile, uncertain, complex, and ambiguous (VUCA) operating conditions and by expanding project-based funding opportunities. The proposed conceptual framework identifies the societal, healthcare-system, digital-transformation, and sustainability-related drivers that shape the internal-resource, external-resource, and governance circuits of a healthcare facility. Within the assumptions of the formalized optimization model, resource management is optimal only under the simultaneous application of both approaches, as the objective function cannot be maximized when either internal or external resource engagement is absent; this result follows from the model's own assumptions and constraints and requires empirical validation before it can be generalized to real healthcare facilities. Empirical calibration of the model's parameters represents a priority direction for future research.

The study examines information systems and artificial intelligence as tools for supporting project risk management in project-oriented organizations. A bibliometric analysis of 98 Scopus-indexed publications (2006–2026) using VOSviewer revealed rapid growth since 2020 and the interdisciplinary development of the field at the intersection of AI, information systems, project management, and risk management. Key AI applications across the riskmanagement cycle include machine learning and natural language processing for risk identification and prediction, digital twins for real-time monitoring, and AI-based decision support and explainable AI for risk mitigation and decision-making. The analysis highlights the integration of PMIS, ERP, BI, BIM, IoT, and digital twins into unified project data environments. Based on these findings, a conceptual framework integrating heterogeneous project data, AI analytics, real-time monitoring, and decision support is proposed.

The article provides a theoretical justification for Team Intelligence as a tool to enhance project team adaptability in the context of digital transformation. The purpose of the study is to systematize scientific approaches to understanding team intelligence and determine the mechanisms of its influence on the effectiveness of project activities in conditions of increasing complexity, uncertainty, and digitalization of management processes. The paper emphasizes that the increase in project complexity, the spread of hybrid and virtual work formats, and the active integration of digital and algorithmic tools change the requirements for team interaction and management, bringing social and cognitive factors of efficiency to the forefront. The authors summarize modern interdisciplinary approaches to interpreting Team Intelligence as an integral ability of a team to collectively process information, form a common understanding of the situation, coordinate actions, and make agreed decisions. The components of Team Intelligence are identified, in particular, psychological safety, social sensitivity, equality of participation, cognitive diversity, and effective communication, and their role in shaping the adaptive behavior of project teams is shown. For each identified dimension, a set of observable indicators is proposed, providing an operational framework for the subsequent empirical assessment of Team Intelligence in project teams. It is substantiated that the set of socio-cognitive and behavioral characteristics of a team determines its ability to function effectively in conditions of digital transformation, while the use of modern technologies without the proper level of team intelligence does not guarantee the success of projects. A logical model of the influence of Team Intelligence on the effectiveness of project activities is proposed, demonstrating a consistent relationship between the development of team intelligence, accelerated decision-making, increased adaptability, and improved project outcomes. The scientific novelty of the study lies in systematically generalizing Team Intelligence as an independent analytical construct in project management and substantiating its role as a driver of team adaptability in the digital environment. The practical significance of the results lies in the potential to apply the conclusions to develop management approaches that increase the efficiency, sustainability, and flexibility of project teams in modern organizations.

Leadership and communication are key drivers of project team performance, yet their joint effects remain underexplored. This study analyzes leadership’s role in shaping communication strategies and their combined impact on outcomes in Germany, Poland, Estonia, and Ukraine (2022–2024). Using a quantitative cross-country design with regression and structural equation modeling, data were gathered via validated questionnaires, measuring cohesion, efficiency, innovation, and stakeholder satisfaction. Results show consistent effects of leadership (β1=0.36–0.44) and communication (β2=0.29–0.41). Interaction is strongest in Estonia (β3=0.31, R²=0.72) and Germany (β3=0.28, R²=0.67), while Ukraine shows notable team-moderating influence (β4=0.27). Findings confirm leadership–communication alignment as vital for success under diverse contexts.

The article explores the theoretical and practical dimensions of implementing quality management systems in healthcare institutions, emphasizing their alignment with international standards. It analyzes global standards such as ISO 9001, EFQM, and JCI, and discusses their adaptation to national healthcare contexts. Particular attention is paid to ISO 9000 and DSTU ISO 9000:2015, which define quality management as a mechanism for directing and controlling organizational activities. Conceptual models that shaped modern approaches to healthcare quality are reviewed, including Donabedian’s three-component model, Juran’s quality trilogy, Deming’s PDCA cycle, and Drucker’s Management by Objectives. Key frameworks for external quality assessment – used to evaluate effectiveness, safety, and patient-centeredness—are also examined. In the context of analyzing international quality frameworks and their adaptation to Ukraine’s healthcare system, the need arises for empirical validation of public awareness regarding service certification and its behavioral impact on patients. A survey involving 1,056 respondents was conducted online in Sumy, Ukraine, in 2025 to assess perceptions of certified services and their influence on patient loyalty. The results indicate that certification positively affects trust and institutional performance, with a 30% increase in visits following dissemination of certification status. A process-oriented quality management model was developed, illustrating the interaction between core organizational processes—from identifying patient needs and planning to resource management, monitoring, and continuous improvement. The model is designed to be adaptable across different healthcare settings and can serve as a practical tool for evaluating internal workflows, identifying inefficiencies, and guiding targeted improvements. It supports proactive decision-making and readiness for external audits. The study concludes that certification enhances transparency, accountability, and strategic development in healthcare institutions. Embedding quality into organizational culture requires leadership commitment, staff engagement, and continuous training. These elements are essential for sustaining improvements and delivering patient-centered care aligned with accreditation standards.

The article presents a comprehensive scientific and methodological approach to studying and integrating modern global trends in university management in the context of the strategic transformation of higher education in the context of dynamic socio-economic and technological changes. The analysis is based on the systematization of leading concepts of education development, reflecting the evolution of its technological, humanistic, and social dimensions, and a detailed study of the trends identified in the OECD Trends Shaping Education reports for 2022 and 2025. The research focuses on studying the impact of factors such as digitalization, artificial intelligence, environmental responsibility, social cohesion, and intercultural dialogue on university management practices. Particular attention is paid to five current trends that are consistent with global challenges and reflect the need for flexible, inclusive, and sustainable strategies for developing higher education. The relationship between these trends and areas of university management is considered. The scientific novelty lies in the holistic combination of an analytical review of educational trends with the identification of specific management actions aimed at increasing the competitiveness of universities and strengthening their role as active agents of social transformations. The author’s contribution lies in identifying the evolution of priorities between 2022 and 2025 and substantiating their significance for strategic planning in higher education. Additionally, it is analyzed how shifts determine new management priorities and change approaches to the development of educational programs and support of the academic community. The practical significance of the results obtained lies in the possibility of their use for the development of university strategies that consider digital transformation, the development of education, support for the mental and physical well-being of the academic community and strengthening international cooperation. The main conclusions confirm that successful university management in the 21st century requires the integration of technological innovations, ethical principles, interdisciplinary approaches and strategic foresight into a single set of management decisions capable of ensuring adaptation to rapid and complex changes in the global environment, while preserving the social mission of education and its role in shaping the values and competencies of the future. The generalized conclusions presented in the article can serve as a guideline for adapting higher education institutions to global challenges, increasing their efficiency, and strengthening the social role of universities in the modern world.

The article explores coopetitive interaction patterns among the actors of the knowledge triangle – business, education, and science – as a tool for enhancing innovation potential and fostering sustainable societal development. The study emphasizes that in the context of globalization, rapid technological advancements, socio-economic challenges, and the consequences of war, coopetition becomes a vital strategy to ensure competitiveness and adaptability. The authors analyze the advantages of this strategy, which combines competition and cooperation, to optimize resources, develop innovative ecosystems, and create new educational and research approaches. The paper presents a detailed typology of coopetitive patterns, including partnership, competition, collaboration, and co-innovation. It describes mechanisms enabling a balance between cooperation and competition, which are fundamental to improving the effectiveness of interactions within the knowledge triangle. It is emphasized that each interaction pattern contributes to achieving synergy by integrating knowledge, technologies, and resources while maintaining the individual competitiveness of each participant. Special attention is given to the Ukrainian Universities Alliance case analysis, which serves as an example of an effective coopetitive practice. The signing of a Memorandum of Cooperation by six leading Ukrainian universities of various ownership forms opened new opportunities for developing education, science, and innovation, even under the challenging conditions of war and social upheavals. The Alliance demonstrates how horizontal linkages among academic communities contribute to developing innovative strategies, preserving national identity, strengthening social cohesion, and addressing pressing societal challenges. The article also highlights key aspects of managing coopetitive relationships, including balancing participants’ interests, effective knowledge management, setting common goals, and ensuring transparency in relations. In particular, the authors recommend using modern information systems to coordinate cooperation, formalize agreements, and create network structures to optimize interaction. The study underlines that coopetition in the knowledge triangle is a tool for developing an innovative economy and a mechanism for social progress. The findings demonstrate how joint initiatives among universities, businesses, and scientific institutions can create unique synergies to overcome global challenges. The analysis of the Ukrainian Universities Alliance case reveals the effectiveness of integrating competitive and coopetitive strategies to strengthen the position of Ukrainian higher education in the international arena, preserve human capital, and support national recovery. Thus, the study’s results confirm that coopetition is a crucial strategy for universities seeking to retain their individuality while contributing to societal well-being. The experience of the Ukrainian Universities Alliance demonstrates the feasibility of implementing innovative approaches to cooperation even in crisis conditions, making it a promising avenue for further research and practical initiatives.

This article examines the talent management model in the context of the modern knowledge economy, emphasizing the importance of coopetitive interaction among business, education, and science. Effective talent management has become a critical factor in ensuring organizational development and innovation in this rapidly evolving environment. The study addresses how coopetition—a strategic combination of cooperation and competition—can enhance the effective utilization of intellectual potential across different sectors, contributing to long-term competitiveness and innovation. The authors thoroughly analysed the literature, exploring fundamental principles and approaches to talent management that are essential for developing competitive organizations in the knowledge economy. The study identifies critical challenges that organizations face in attracting, developing, and retaining talent, particularly in light of fast-paced technological advancements and the growing complexity of the labor market. Additionally, the researchers emphasize the need for cross-sector cooperation, arguing that integrating business, education, and science is pivotal for creating an innovative environment where talent can thrive. The article's central focus is coopetition, which involves a delicate balance between collaborative efforts and competitive strategies among businesses, educational institutions, and research entities. This coopetitive approach is presented to maximize the intellectual resources available within the knowledge economy, ensuring the effective development of creativity, knowledge, and innovation. Furthermore, the research addresses talent retention challenges, particularly in sectors with high demand for skilled workers. It emphasizes the importance of providing continuous opportunities for professional growth and innovation integration. The proposed talent management model is comprehensive and considers the unique aspects of the modern labor market. The model highlights the necessity for organizations to attract talent and create an environment where employees can continuously develop their skills and contribute to the organization's innovation processes. The practical implications of this study offer a framework for organizations seeking to implement effective talent management strategies that align with the needs of the knowledge economy. In conclusion, the article presents a detailed analysis of a new talent management model that promotes competitiveness and innovation through coopetitive interaction among business, education, and science. This model is particularly relevant in today’s knowledge-driven economy, where the ability to manage talent effectively plays a crucial role in organizational success. By fostering coopetition and ensuring the optimal use of intellectual potential, the proposed model contributes to developing innovative, competitive, and sustainable organizations capable of thriving in the knowledge economy.

The article’s purpose is to analyse the issue of implementation of knowledge economy and innovation through business education based on cluster analysis. The role of knowledge economy, innovation transfer, entrepreneurship and business-education coopetition are grounded to achieve economic growth and sustainable development. Input data withing the distribution of the knowledge economy through business education include a data of 23 countries for the following indicators: new registered enterprises, labour force, employment in industry, proportion of population studying ‘Business, Administration and Law’, proportion of population studying ‘Services’ and proportion of population studying ‘Economics’. Using data normalization, Ward and Sturges methods and Statgraphics Centurion 19 soft five clusters were determined to show hidden dependencies and structure in countries sample in this research context. The first cluster includes 2 countries (Austria and the United Kingdom), the second – 11 countries (Belgium, Portugal, Denmark, Italy, Lithuania, Latvia, Poland, Ukraine, Croatia, Norway, and the Netherlands), the third – 5 countries (Bulgaria, Spain, France, Switzerland, and Finland), the fourth – 3 countries (Estonia, Germany and Sweden), and the fifth – 2 countries (the Czech Republic and Hungary). Due to building dendrogram of distribution on clusters and graph of agglomeration distance the quality of countries distribution into clusters was confirmed. Obtained results can be useful for further research and improving the state innovation, information and educational policy based on positive experience of neighbour countries within certain formed cluster.