Aim. The work aimed to consider in detail and systematize the impact of artificial intelligence (hereinafter referred to as AI) on various aspects of public administration, including improving decision-making processes, optimizing interaction with citizens, increasing the efficiency of government agencies, as well as identifying potential risks and challenges associated with the use of these technologies, including neural interfaces.
Objectives. The work seeks to assess the real consequences of integrating AI into the management sphere with an emphasis on improving the efficiency of decision-making, automating processes and interacting with citizens; identify risks, including threats to privacy and risks of job losses, as well as the impact on ethical standards; study expert opinions on the problems of developing models for integrating AI and neurotechnologies into public administration; analyze their impact on the social structure and the role of AI technologies in regulating public policy from the standpoint of the sociology of management.
Methods. The use of systemic and risk-oriented approaches in studying the impact of AI technologies on the transformation of the public administration system provided a comprehensive analysis of the processes of integrating AI into public administration processes. This approach enabled to identify key management relationships and explore the multi-level structure of AI technologies institutionalization in management activities.
Results. AI is used to optimize the processing of government applications, improve budget management and resource planning. AI-based systems help analyze large amounts of data, which contributes to more accurate forecasting of economic and social trends, making more informed decisions in social policy, healthcare, and education. In particular, AI algorithms are used to optimize the distribution of budget funds, improve the process of adopting legislative initiatives, and assessing their impact on society. The use of intelligent systems also contributes to the automation of many administrative processes, such as the processing of tax returns or applications for public services, which reduces bureaucratic obstacles and accelerates the interaction of citizens with government agencies.
Conclusions. Russia is actively introducing AI technologies in the field of public administration and public decision-making in order to increase the efficiency and transparency of administrative processes for a fundamental increase in the effectiveness and efficiency of the implemented public policy in all spheres of the country’s life, making qualified, well-founded decisions on certain issues, primarily if it is necessary to proceed from the analysis (understanding) of an array of data.

Aim. The work aimed to identify whether working while studying at a university in selfemployment actually contributes to gaining practical experience in professional activities and developing professional competencies required undr contemporary market, or student selfemployment is a factual constraint that can be a barrier to quality education.
Objectives. The work seeks to determine the main reasons for student self-employment; to enounce the advantages and disadvantages of this form of work for students; to reveal the impact of self-employment on the development of professional competencies; to characterize the difficulties that students encounter when combining work and study within self-employment; to propose a set of measures aimed at a more effective combination of work and study.
Methods. In order to substantiate scientific provisions and conclusions, the work employed general scientific methods (classifications, system and comparative analysis, scientific synthesis) and sociological methods (questionnaires).
Results. Based on the sociological research, the authors established that students choose selfemployment as a form of work mainly due to the need for an additional source of income, as well as the desire to implement their business ideas. The advantages of self-employment for young people include the receiving of income from entrepreneurial activity, independence in terms of work organization and allocation of working time, as well as the opportunity to gain work experience and practical knowledge. The disadvantages of this form of employment for students include difficulties in arranging a balance of work and study. Most respondents believe that entrepreneurial activity does not create problems with training, but a third of the selfemployed students surveyed draw attention to the lack of free time. The results obtained showed that working as a self-employed person forms personal competencies, develops practical skills or professional knowledge.
Conclusions. Student self-employment contributes to the formation of professional and personal competencies, if this refers to work in the acquired profession. The authors proposed a set of measures aimed at a more effective combination of work and study, which involve support for self-employed students from higher education institutions (information support; provision of a more flexible educational schedule; recommendations from the university regarding the forms and volume of employment, working conditions and choice of professional area).

Aim. The work aimed to assess the management effectiveness of organizational projects in the field of environmental sustainability in Iran and Turkey, as well as to develop methodological approaches that combine policy mechanisms, financial incentives, and public participation to optimize the implementation of sustainable development initiatives.
Objectives. The work seeks to identify the key indicators of sustainable development; conduct a comparative analysis of national strategies; and characterize the use of structural modeling (SEM) to assess the effectiveness of policies.
Methods. The work employed structural modeling (SEM), comparative and correlation analysis, as well as statistical data processing. The information was collected from government reports, international environmental organizations and expert surveys. The analysis was performed using the SPSS and AMOS software packages to model the interdependencies between sustainable development factors.
Results. The analysis performed in the course of the study enables to conclude that Turkey demonstrates a more structured and proactive approach to sustainable development, especially in the field of implementation of renewable energy sources and digital management technologies. However, Iran faces challenges due to limited financial support and disadvantages in  enforcement practices. The SEM analysis confirms the importance of an integrated sustainable development model and reveals that successful outcomes depend on a balanced combination of policy regulation, financial mechanisms, and public participation strategies.
Conclusions. Strengthening regulatory frameworks, integrating digital technologies into environmental management, and expanding alternative financing mechanisms such as green bonds are required to improve the effectiveness of sustainable development projects in Iran and Turkey. Achieving long-term environmental balance will be possible through the transition to an ecosystem approach and greater private sector participation in sustainable development initiatives.

Aim. The work aimed to develop basic conceptual proposals and recommendations for supply chain management in the context of global changes.
Objectives. The work seeks to analyze the impact of global changes on the logistics industry; identify key problems and risks faced by organizations under instability; develop mechanisms for improving the efficiency of supply chain management.
Methods. The scientific approach to improving supply chains involves the implementation of the principles of systematicity, complexity, development of analytical models for managing the logistics activities. The works of modern authors in the field of logistics and international supply chains are studied. The authors applied a number of methods of scientific cognition, namely analysis, synthesis, generalization, and description. The research approach was used throughout the research process as a whole.
Results. The article discusses the development directions of global logistics. The authors analyzed the current state of supply chains in the Russian Federation and formulated trends in the investment environment within the country. The practical significance of the article consists in the development of proposals for improving the supply chain management and the introduction of digital technologies in global logistics.
Conclusions. It is stated that in the digital era, supply chain management systems are undergoing significant modifications that affect the way enterprises operate and interact with each other.

Aim. The work aimed to identify the main challenges and prospects for the implementation of artificial intelligence (hereinafter referred to as AI) in management processes, taking into account technological, social and economic factors influencing the efficiency and sustainability of business.
Objectives. The work seeks to study the key trends in the integration of AI into business; to assess the impact of AI on decision-making, process automation, and human capital development; to identify potential risks, including cybersecurity and ethical issues; to propose a strategic roadmap for the implementation of AI to improve the competitiveness of enterprises.
Methods. The authors used foresight analysis to identify and predict the development of key trends. The empirical analysis was based on the data obtained during the foresight session held on September 16, 2024, at the Southern Federal University. The work employed the methods of expert survey, scenario analysis, and semantic modeling.
Results. Four key factors determining the success of AI implementation were identified, namely technology and innovation, human capital, financing and partnership, risks and ethical aspects. It was revealed that the dynamics of growth in the number of patents and commercial solutions in the field of AI indicate the strategic importance of the technology for business. Key challenges were highlighted, namely the need to invest in personnel training, the establishment of ethical standards, and strengthening of regulatory framework. A roadmap for the implementation of AI in management processes has been developed, including the stages of preparation, pilot implementation, scaling, and optimization.
Conclusions. The study of the processes of implementing AI in business demonstrates the significant potential of the technology for improving the efficiency of management and the competitiveness of enterprises. However, successful integration requires an integrated approach that includes the development of human capital, regulation of legal aspects and consideration of ethical risks.

Aim. The work aimed to consider modern procedures for target audience management based on the use of artificial intelligence (hereinafter referred to as AI) tools in the online media space, and to propose recommendations for the use of such tools in target audience management.
Objectives. The work seeks to study the specifics of modern processes and methods of target audience management; to compile a practical and methodological review and present a description of the AI-based tools and services for managing the target audience.
Methods. The methodological and theoretical basis was the use of a systems approach to the analysis of the study subject, conceptual approaches set out in the works of Russian and international scientists in the context of the use of AI in target audience management. The  work employed analysis and integration to reveal the essence of the modern process of target audience management, present a methodological review of tools and services for managing the target audience based on AI, and identify the advantages and difficulties of using AI in the procedures for managing it.
Results. The author provides a description of the procedure for managing the target audience based on the targeting method, conducts an overview of the tools for managing it in the online media space based on the information and communication and digital analytical technologies. The advantages and difficulties of introducing AI into the target audience management are revealed, and recommendations for using AI to optimize these processes are formulated.
Conclusions. Theoretical and practical issues on the specifics of the modern process of managing the target audience in the online media space are studied. As a result, the advantages and difficulties of using AI in target audience management procedures, as well as the conditions and key results of implementing AI tools and services in the field under consideration are determined, and recommendations for their use are proposed. 

Aim. The work aimed to identify the specifics of managing network organizations, taking into account their economic characteristics.
Objectives. The work analyzes theoretical and methodological approaches to structuring organizations and inter-organizational interaction, identifies the distinctive features of network organizations that determine the characteristics of their management, and proposes recommendations for applying network approaches in the management of modern Russian organizations.
Methods. The work employed systems and institutional analysis, organizational design, and retrospective and logical approaches, as well as structural modeling.
Results. In the study, theoretical ideas about the specifics of network organization management determined by their economic characteristics were expanded. Networks represent a hybrid form of interaction organization in the economy, which is intermediary between market and hierarchical structures. They inherit the advantages of the market and hierarchy, determining a compromise combination in their properties of flexibility and purposefulness of activity. Moreover, the hybrid nature imparts network organizations with new properties that hinder from applying traditional management methods to them. Consequently, its tools have to be developed specifically for this type of organization.
Conclusions. Network (hybrid) cooperation of organizations should be considered long-term cooperation of independent firms aimed at joint creation of value and distribution of benefits. State organizations can also be participants in network structures. Their involvement in the network reduces the risks of economic activity and ensures a more complete compliance of the models of network functioning with the state goals. It is advisable to use the potential of intercompany cooperation to solve current problems of economic development of the Russian Federation (RF), primarily in the field of import substitution.

Aim. The work aimed to analyze the relationship between the optimization competition indicator introduced earlier in the author’s articles and the game models widely used in economics, in particular, zero-sum matrix games.
Objectives. The work seeks to determine the quantitative relationship between the solutions of game models and optimization competition, which allows for a new interpretation of the results of game models in economics; as well as to correlate the optimal strategies in game models with the optimization competition indicator.
Methods. The analysis was used to perform a study of the relationship between the previously introduced competition indicator (optimization competition) and game models. Examples were applied to establish a quantitative relationship between optimization competition and the results of zero-sum matrix games in pure and mixed strategies.
Results. A number of game models involve the use of optimization methods, i.e. linear programming methods, in matrix games with mixed strategies. Since the previously introduced optimization competition indicator was developed specifically for optimization problems, it becomes appropriate to study the relationship between it and the solution of game problems. The idea consists in comparing the calculations of the optimization competition indicator with the results of game models. The examples present the patterns of changes in the optimization competition indicator depending on various types of game models, in particular, matrix games. The differences and features in the cases of matrix games in pure and mixed strategies were determined. 
Conclusions. The work presents the relationship between optimization competition and the results of zero-sum matrix games. “Pure gain” (or “pure strategies” called in game economic models) is possible only with non-zero optimization competition, and the average one, expected, with probability, depending on the payoff matrix, can be accompanied by both zero and non-zero competition. In other words, pure gain requires that competition be greatest, all other things being equal. This approach allows a new approach to interpreting the results of game models, in particular, zero-sum matrix games. Nowadays, the game result is only its price determined in pure or mixed strategies. But the results given indicate that it is advisable to compare the value of the game price with the value of optimization competition, which provides additional information for analysis in game economic models. 

Aim. The work aimed to construct a system of criteria which may be used as a basis to form and improve supply chain management both at an individual firm and at the level of the industry as a whole.
Objectives. The work seeks to identify the factors that contribute to the coordination of the supply chain while analyzing scientific literature; to determine their sequential arrangement (from highest to lowest) and priority using the method of hierarchy analysis; based on the ranking, to construct a system of criteria which can be used to optimize supply chains due to non-monetary factors of competition.
Methods. The study employed qualitative and quantitative methods used for deeper understanding of the problem under consideration. The article examines an array of relevant data and expert assessments in the field of supply chain management. In addition to analytical methods, it uses a comprehensive expert method of hierarchy analysis. The process of its application has three stages [1], namely 1) defining a decision hierarchy; 2) assigning decision-making criteria and constructing a matrix; 3) analyzing and summing up.
Results. The author analyzed the process of intercompany coordination in supply chains as a key factor in long-term competitive advantage. The hierarchy analysis method was used to examine and aggregate the most relevant studies in the literature, while criteria and subcriteria determining the quality of interaction within supply chains were identified, and the weights and influence of each criterion on the overall result were established. All criteria were validated when calculating the consistency coefficients. Conclusions on improving these characteristics were formed for each comparison matrix. In conclusion, the work provides recommendations for integrating the criteria system into the overall supply chain management system. 
Conclusions. The article examines the criteria influencing the intercompany coordination in supply chains, while the key ones were identified in the field of supply chain management. These include criteria describing material aspects, relationships between chain participants, their reputation and experience, productivity, and others. A pairwise comparison of the above criteria, as well as an analysis of subcriteria, were used to draw a number of conclusions, namely the most significant ones include the quality of the information flow and IT infrastructure, the current level of supply chain integration, delivery speed, long-term relationships between chain participants, and the price of services. These criteria are presented in descending order of relative priority. Specific weights are described in detail in the text of this study. In addition to defining and ranking the criteria, the limitations and barriers to forming a criteria system were identified. The main limitation is that the rating scale used in studying the hierarchy analysis method is conceptual, although it determines the factors of greater importance. The proposed approach does not provide instructions on the action plan to eliminate disadvantages. There is also a possibility of bias in pairwise comparison of different factors. Therefore, caution should be exercised when determining the relative assessment of different factors. Some of those selected for the model may also be interrelated, while the analytical chain method may be the best option. As a practical use of such a system of criteria, its implementation in a simulation logistic model is proposed to improve traditional optimization problems by involvement of non-economic factors of collaboration and cooperation. 

Aim. The work aimed to improve regional development management through the use of a technique for assessing territorial balance based on a three-factor model.
Objectives. The work seeks to analyze existing methods for assessing territorial balance; to determine a conceptual approach to assessing territorial balance based on correlation and regression analysis and econometric modeling; to identify factors and indicators used for assessment; and to assess the territorial balance of the regions of the Far Eastern Federal District.
Methods. The study employed a systems approach. The proposed technique for assessing territorial balance based on a three-factor model is based on the classical method of correlation and regression analysis, which presents the relationship between traits in the form of a functional dependence of a complex indicator on independent variables (factorial features). Comparative analysis was used to compare the regions.
Results. In the study, a technique for assessing territorial balance based on a three-factor model was proposed, which includes the components of E as the infrastructure component, S as the social component, and G as the state component. For each component, a factor Xi and an indicator Yi were defined, characterizing the resulting state of the analyzed regional socioeconomic system. This method was used to provide an assessment and a comparison of the territorial balance of the Central Federal District and regions of the Far Eastern Federal District.
Conclusions. The technique for assessing territorial balance based on a three-factor model enables to identify imbalances in the development of regions (in comparison with other regions). This is important for making management decisions, including identifying growth points, applying the tools of an agglomeration economy and using the technology of regional reconfiguration. The technique testing demonstrated that it can be applied to obtain quickly relevant results that can be useful in implementing regional economic policy.

Aim. The work aimed to develop the management theory in clarifying the category of leasing technologies and disclose its content within the scientific, practical, managerial, process, and digital aspects.
Objectives. The work seeks to analyze approaches to the interpretation of the concepts of leasing and technology, to reveal their evolution, to substantiate the definition of the concept of leasing technology, to generate a conceptual framework in the context of leasing technologies.
Methods. The author used general methods of scientific knowledge, including analysis and synthesis, concrete and abstract, historical and logical, highlighting the general, special and individual, in various aspects, to consider the issue of substantiating the feasibility of introducing the concept of leasing technologies into scientific and practical circulation.
Results. The work novelty consists in the development of management theory in clarifying the category of leasing technologies. The expediency of introducing the concept of leasing technologies into scientific and practical circulation was substantiated based on the comprehensive analysis and generalization of approaches to the definitions of the concepts of leasing and technology. The work proposes the author’s interpretation and discloses the concepts of leasing technologies (scientific aspect), leasing technologies (practical aspect), leasing technologies (managerial aspect), leasing technologies (process aspect), leasing technologies (business aspect), leasing technologies (digital aspect).
Conclusions. The theoretical apparatus presented in this article reveals the content of the leasing technology category in various aspects. This enables to use it in substantiating the directions for improving leasing activities and developing on this basis the methods, provisions, recommendations, and practical techniques that contribute to increasing the efficiency of leasing for all participants in leasing operations and transactions.

Aim. The work aimed to propose recommendations on localization of human resource management for Chinese transnational companies (TNCs) in Russia.
Objectives. The work seeks to identify and summarize the problems arising in localization of human resource management of transnational companies in China; to analyze the causes of these problems; as well as to develop recommendations on localization of human resource management of Chinese transnational companies in Russia.
Methods. The author applied statistical analysis, comparative analysis, generalization, deduction, and induction.
Results. The work summarizes the experience of transnational companies in localization of human resource management in China, and identifies a number of common problems in the localization of human resources. The author analyzed the causes of these problems and gave recommendations on localization of human resource management of Chinese transnational companies in Russia.
Conclusions. Chinese transnational companies have gained extensive experience in the successful practice of localization of human resource management in China. There are many differences in human resource management between China and Russia. In view of this, Chinese transnational companies in Russia should analyze the practice of localizing human resource management in China. The author presents recommendations for localizing human resource management of Chinese transnational companies in host countries, considering the identified problems, namely 1) improving the level of training of expatriates; 2) training in corporate culture and localizing training methods; 3) improving the mechanism for career advancement of local employees; 4) creating a more inclusive corporate culture; 5) forming a system of professional training of talents in the company and strengthening the talent pool; 6) increasing the attractiveness of wages and benefits for talented employees; 7) creating a local research center; 8) strengthening trust in local talents and faith in their abilities; 9) introducing localized methods of performance management; 10) localization of the remuneration system.