This study aims to systematize practical recommendations for applying core principles of managing large, multi-tiered international projects in the nuclear industry, based on both Russian and international experience. The resulting compilation outlines specific analytical tools that identify risk-prone areas in the management processes of nuclear power plant (NPP) construction projects, as well as actionable steps to mitigate these risks. Particular attention is given to the project manager’s role within the oversight of a parent company and their integration into its broader business processes. Additionally, the proposed classification offers the foundation for a training system capable of dynamically addressing emerging challenges and adapting to new approaches. The research draws upon established project management frameworks and employs both general scientific methods — such as analysis and synthesis, observation, grouping, and comparison — and specialized methodologies. The findings may be useful to project managers seeking to organize and enhance their knowledge and experience in managing NPP construction projects.

The aim of this study is to develop a strategy for the socio-economic development of a given territory. The relevance of this issue stems from the fact that long-term, including strategic, planning tools and methods play a vital role in the governance system of a municipal district. The research revealed that both standardized methodologies and customized solutions are appropriate for the development of such strategies, depending on the characteristics of the planning object and the availability of data on its performance over a certain period. These custom solutions are especially necessary in later stages of strategic development, such as diagnostics, competitiveness assessment through cluster analysis, goal setting, and the justification of flagship projects (including scenario development and estimation of required financial resources). The strategy must take into account the municipality’s specialization, its role in the regional economy, the existing socio-economic development strategy, results of cluster-based competitiveness assessments, funding sources, and other contextual factors. The authors justify the need for continuous monitoring, analysis, documentation, and open access publication of detailed information on changes to the strategy’s objectives and the indicators used to measure their achievement. The research employed a variety of scientific methods, including analysis and synthesis, deduction and induction, systems thinking, analogy, comparison, classification, logical generalization, graphical data presentation, and content analysis of literature sources. Based on the results, methodological recommendations were formulated for professionals involved in municipal governance to assist in the development and implementation of socio-economic development strategies.

Intelligent industrial production represents the future of the global industry and is among national priorities, as it enables the achievement of higher-order competitive advantages based on the effective use of all components of intellectual capital and the adoption of new types of assets that emerge through the implementation of digital technologies — digital intellectual assets (DIA). The purpose of this study is to identify the types of DIA, their potential, the effects of their use, and the conditions for their application in industry. The methodological basis of the research includes methods of classification, comparative and legal analysis, generalization, and systematization. The results include a classification of DIA according to their civil law status; an outline of the advantages of their use as tools for the intellectualization of industrial companies across various sectors; identification of the economic and social effects of implementing these assets in the context of intellectual capital components (human, organizational, and market); and the specification of the necessary conditions for achieving these effects. The findings and conclusions may be useful for the management of Russian industrial companies in developing and improving digitalization strategies aimed at enhancing competitiveness and achieving technological independence.

The purpose of this study is to systematize the categories of the digital economy (digitalization, digital transformation, digital maturity, and digital potential) through the classification and aggregation of research approaches to their study, as well as to apply these categories to the characterization of social development in specific territories. The research employed scientific methods such as comparative and systems analysis, synthesis, formalization and analogy, inductive reasoning, interpretation, and theoretical modeling. The information base consisted of more than 100 scholarly publications indexed in the Russian Science Citation Index (RSCI) and in international scientometric databases, which ensured the comprehensiveness of the study. The results include the identification of classification groups of authors’ approaches to defining the terms “digital economy”, “digitalization”, “digital transformation”, and “digital maturity”; the specification of their key characteristics; and the development of integrated or combined definitions of these concepts in relation to the socio-economic development of regions. The study also systematizes these terms in relation to one another and to the digital economy as a whole. As initial conditions for digitalization and digital transformation of a socio-economic system, the research considers the digital profile of a territory, along with the specific nature of its digital needs and resources. The findings can be used for managerial purposes (in the field of digital development of the economy and the social sphere), as well as for shaping and structuring the conceptual foundations of the digital economy.

The aim of this study is to clarify and justify the principles of sustainable organizational development at the current stage of Russia’s economic evolution. Using such methods like systematic analysis of academic literature and empirical data, as well as confirmatory factor analysis (CFA), the researchers identified and validated five fundamental principles forming the basis of corporate sustainable development: long-term orientation, integrated ESG management, multi-stakeholder value, crisis resilience, and adaptive innovation. Key aspects of implementing these principles were also outlined. The findings of the study can be applied by organizations in the development of long-term strategies, risk minimization, enhancement of competitiveness, and the establishment of balanced stakeholder relationships. They also offer a foundation for designing corporate policies aimed at achieving sustainable development goals.

This study aims to analyze the role of artificial intelligence (AI) in the transformation of the public and municipal administration (PMA) system. The article explores key areas of AI integration into the public sector, along with realworld examples of AI applications in government agencies in both Russia and abroad. It introduces a classifier of AI solutions for PMA, including potential pilot platforms and international counterparts. The article emphasizes that AI functions not merely as a tool but as a full-fledged partner capable of fundamentally reshaping governance approaches. The study concludes that institutional and technological readiness is essential for the large-scale implementation of AI in public administration. The research employs methods of international case analysis and comparative evaluation of AI implementation practices. The findings may be valuable to public administration professionals, digital solution developers, and government bodies planning to introduce AI technologies.

This study aims to identify the key factors behind the successful implementation of a Knowledge Management System (KMS) based on the experience of United Engine Corporation JSC (UEC JSC), and to develop practical recommendations for introducing KMS at Russian high-tech industrial enterprises. The relevance of this research lies in the growing importance of knowledge, experience, and information in today’s market economy. The lack of a structured knowledge management system highlights the need for effective tools to foster a knowledge-sharing culture, as well as for mechanisms to locate, store, and distribute knowledge within an organization. The study employed a methodology based on the analysis of international and domestic academic literature, reviews of media materials, and an in-depth examination of UEC’s internal practices. Key features of the corporation’s knowledge management approach were identified, which, while grounded in widely accepted principles, are tailored to the specific operational context of the company. Particular emphasis was placed on the implementation of innovative knowledge management tools designed to enhance the efficiency of the company’s information resources. The findings indicate that the success of KMS implementation at UEC results from the combined use of traditional approaches — adapted to the organization’s specific needs — and modern technologies. The proposed solutions may serve as a foundation for other Russian enterprises seeking to design and implement their own KMS. The UEC case demonstrates that optimizing knowledge management processes can significantly improve an organization’s competitiveness. Thus, a knowledge management system becomes not only a tool for increasing internal process efficiency but also a strategic asset in the modern economic environment.

The purpose of this study was to analyze ecosystems, including business, educational, and socio-economic ecosystems. The research defines the concept of a “healthcare ecosystem,” identifies its primary objective, and highlights the key element of ecosystem modeling. The article presents examples of successfully implemented models for integrating digital technologies into the operations of healthcare ecosystems abroad. It examines both the conceptual business model of a healthcare ecosystem and the contribution of business processes to achieving its goals and creating value. Universal trends shaping the digital future of healthcare are identified, along with the specific characteristics of the industry in Russia and the significant challenges faced by domestic healthcare ecosystems. The methodological basis of the study includes various forms of analysis, structuring, and graphical methods. The information base was drawn from the ELibrary scientific electronic database. The findings may be of interest to both public and private organizations seeking to create new value for individual health preservation while maximizing benefits and minimizing costs.

This article addresses a pressing issue in contemporary management theory — the search for effective human resource management tools relevant to current market conditions. The concept of strategic management is proposed as a foundational approach to the development and implementation of HR mechanisms that, when aligned with business strategies, contribute to achieving company objectives. One such mechanism is motivational management, which scholars consider a stand-alone concept. The purpose of this study is to develop, based on the theoretical aspects described, a motivational personnel management program for a modern enterprise. The theoretical foundation of the research draws on the works of Russian and international scholars in the fields of economic theory, organizational theory and behavior, labor economics, personnel management, and strategic management. The developed program can serve as a methodological basis for HR managers in creating similar documents tailored to specific cases.