This article presents the results of a study of service and industrial structural shifts in the context of the formation of a post-industrial economy. The theoretical part of the study is represented by an examination of the concepts characterizing the corresponding intersectoral shifts, which made it possible to clarify the interpretation of their content and distinguish them from related concepts. Contradictions between tertiaryization and reindustrialization, as well as the factors determining the choice of priority between them, are revealed. In the empirical part, the study was conducted at the global and country levels in order to establish the possibility of coexistence of the structural processes under study. Over the 9-year period of consideration, no statistically recorded signs of tertiaryization and reindustrialization were found in the global economy. However, among the group of the largest national economies that have embarked on the path of postindustrial development, an increase in the share of the service sector occurred in all countries, and the industrial sector in half of the countries. Globally, the presence of tertiaryization was recorded in countries with an income per capita above the average and in low-income countries, while reindustrialization was recorded in countries with a lower-middle income.

Modern international cryptocurrency exchanges play a key role in the digital transformation of the global economy, providing infrastructure for trading, exchanging, and storing digital assets. However, their operation is accompanied by a number of challenges, including high volatility, regulatory uncertainty, cyber threats, and differences in legal approaches across countries. The aim of this study is to conduct a comprehensive analysis of international cryptocurrency exchanges, identify key factors determining their competitiveness, and assess the impact of regulation and technological innovation on their development. This article identifies the differences between centralized (CEX) and decentralized (DEX) exchanges and examines the factors determining the competitiveness of crypto exchanges, including commission rates, platform security, and regulatory barriers. Particular attention is paid to asset liquidity, commission levels, pricing mechanisms, and regulatory barriers. The study utilizes statistical analysis, comparative platform research, and regulatory analysis. The article examines modern technological trends, such as blockchain scalability solutions, smart contracts, the Lightning Network, and stablecoins. Based on the analysis, it concludes that a balance between regulatory measures and technological innovation is essential for the sustainable development of crypto exchanges. Key trends influencing the future of the cryptocurrency market are identified, including the expansion of international regulation, the growth of institutional investment, and the development of digital financial instruments.

Improving the quality of management of innovative activities of a medical university and ensuring systemic generation of innovations requires the presence of a developed innovative infrastructure in the university that supports researchers and innovators. Despite the expressed public demand for new medical products and technologies, including in terms of achieving technological sovereignty, medical universities are mostly characterized by weak innovative activity associated with an underdeveloped infrastructure to support it. The article proposes a model of innovative infrastructure of a medical university aimed at eliminating this contradiction.

The work investigates innovative projects at enterprises of the forest industry of the Russian Federation. The sample of respondents to the survey is substantiated. A survey of 30 experts related to the forestry industry was conducted. Ten key types of forestry enterprise projects were identified. Based on the survey, forestry enterprise projects were assessed according to three parameters: project implementation frequency, project technological complexity, and project implementation cost. A comparative analysis of the frequency of innovative project implementation at forestry enterprises in the Russian Federation was conducted. A two-factor analysis of innovative projects at forestry enterprises in the Russian Federation was conducted. A map of innovative projects at forestry enterprises in the Russian Federation was created, divided into four areas based on complexity: simple projects, organizationally complex projects, technically complex projects, and complex projects. It is concluded that most projects in the forestry industry are complex.

The purpose of this study is to analyze theoretical works on place brand models developed by domestic and international scholars and, based on these studies, propose an integrated model of the regional brand. This study included a content analysis of the scientific literature, a comparative analysis of existing place brand models, and a modeling method. As a result, an integrative model of the regional brand was developed that reflects the essential foundation of a region's brand, as well as elements of the brand formation and management process. This integrative model of the regional brand takes into account the key features and shortcomings of earlier models, as well as the influence of the place brand on the socioeconomic development of the region. This study holds promise for further research, including the verification of the integrated model of the regional brand and its practical application.

Since the early 2020s, a period of global economic instability has begun, negatively impacting the business climate, increasing risks and complicating business planning. This paper examines the key trends that have recently directly or indirectly affected the health of the wholesale trade sector—both overall and specifically in the industrial equipment category. Wholesale trade companies must understand the area of activity to which the main flows of goods and capital are shifting, where the next technological breakthrough is expected. Key trends for this market on a Russian scale are examined, the most important of which is the reorientation toward new trading partners. An assessment is made of the growth in retail profitability in Russia and, consequently, the growth of this business. It is concluded that current global market trends affect not only the Russian economy as a whole but also individual constituent entities of the Russian Federation, in particular the Samara Region.

This article investigates the current development of technological sovereignty and its role in strengthening the country's economic security. In the context of sanctions, economic security issues have become more important than those related to economic globalization. The emergence of legal documents in Russia in recent years that define the formation and development of technological sovereignty also confirms the increased importance of security in this area. This paper assesses Russian and international experience in enhancing the country's economic security through the development of technological independence and regulation of the technology sector. Economic security indicators characterizing the innovative activity of regions are examined. An analysis of the structure and dynamics of technological innovation implementation in our country is conducted. The indicators are grouped by federal districts and by the degree of leadership in certain areas. Special attention is paid to the relationship between innovative activity and labor productivity. Based on the significant role of human capital in the formation of technological sovereignty, the role of personnel security in the development of technological sovereignty and strengthening the state's economic security is determined. The main characteristics of personnel security that influence the increase of technological sovereignty are identified.

This article addresses the issues surrounding the functioning of resource centers (RCs) supporting socially oriented non-profit organizations (SONPOs) in the regions of the Northwestern Federal District. RCs are viewed as key actors in providing infrastructural support at the regional and local levels. Based on a qualitative study, including semi-structured interviews with RC managers and specialists (n=21), and an analysis of secondary data, the author identified challenges and barriers to RC development at the regional level related to funding stability, human resource development, and interactions with other entities. Finally, the author proposes areas for improving infrastructural support for SONPOs, including the development of a concept for a standard for developing infrastructural support aimed at increasing the sustainability and effectiveness of RCs in the regional context.

This article investigates the effectiveness of viral content creation using Russian cinema as an example. The aim of the study is to identify the key factors influencing content virality and to analyze existing methods for creating viral content. The study utilized qualitative and quantitative methods, including a survey on specialized online platforms and interviews using the semantic differential method. Key findings include: pressing social issues are the most engaging topics for Russian viewers; plot and characters are the foundation for creating viral content; catchy phrases play a significant role in the spread of viral content; and word of mouth is the dominant method of spreading information about films among Russian users. The study emphasizes the importance of considering cultural values, trends, and audience demands when creating viral content in Russian cinema. Companies should focus on contemporary values and trends, create engaging characters, and include elements in the script that can generate active discussion among viewers.

Nowadays, managing any business sector is becoming increasingly complex and requires increasingly precise and predictable decisions. One of the most pressing issues has always been and remains HR. Effective HR management plays a vital role in any organization. In the era of digital transformation, systems, methods, and programs designed to address HR issues are being actively developed. However, to address HR issues, management must manage a large amount of information, which is quite difficult to objectively evaluate. For example, quantitatively assessing the skills, knowledge, abilities, and social status of a colleague within a team is extremely difficult. This article investigates an information system used to improve the economic efficiency of an enterprise's HR management. This information system not only analyzes the current state of an organization's HR potential but also generates recommendations on the need for measures to enhance the enterprise's HR potential. The object of this work is an information system used for managing an enterprise's HR potential based on artificial intelligence.

The objective of this work is to develop a model capable of forecasting the probability of changes in dividend payments based on the analysis of the company's financial indicators. An analysis of existing scientific approaches to forecasting dividend payments, including signaling theory, agency cost theory, behavioral factors, etc., is conducted. Particular attention is paid to the influence of financial indicators (return on assets (ROA), debt-to-equity, free cash flow (FCF), revenue growth rate, etc.) on dividend payment decisions. The relevance of the study is due to the need to develop tools for forecasting dividend policy, which is especially important for investors and financial analysts in the context of market instability. A methodology for constructing a model based on logistic regression, which can be used to assess the probability of changes in dividend payments, is proposed and tested. The results of the work are theoretical in nature and can serve as a basis for further applied research. Practical recommendations are given for choosing tools for implementing models in order to effectively build and test predictive models of dividend policy.

Fiscal policy is the foundation for effective public finance management at all levels of the Russian Federation's budget system. Despite the unified legal framework governing the functioning of public entities in Russia and common approaches to budget policy development, budget policy at the federal, regional, and municipal levels has its own specific features, most noticeably manifested in budget revenue policy. This is due to the diversity of revenue types and the delineation of powers to generate budget revenues between government bodies at different levels, which, in turn, is determined by the fiscal federalism model applied in Russia. Under these conditions, examining the specifics of budget policy implementation at each level of the Russian Federation's budget system is of interest. This article analyzes the specifics of budget policy implementation in generating tax and non-tax revenues for the budgets of constituent entities of the Russian Federation. The powers of regional authorities in using various budget policy instruments and their current fiscal significance are examined, and a conclusion is drawn regarding the limited scope for maneuvering various budget policy instruments to increase budget revenues for constituent entities of the Russian Federation. The main research methods were analytical, statistical and comparative methods of analyzing data on the execution of budgets of the constituent entities of the Russian Federation, presented on the Unified Portal of the Budget System of the Russian Federation.