Aim. The work aimed to analyze the development of Russian-South Korean trade and economic relations in recent years with an emphasis on South Korean companies that have or had industrial enterprises in Russia. The authors pay special attention to the prospects of their presence in the Russian market.

Objectives. The work seeks to analyze the history of Russian-South Korean economic relations, features of industrial offshoring of South Korean companies, and an overview of recent changes in the Russian market.

Methods. The study employed statistical analysis of data on international trade between the countries, generalization and graphical modeling of materials from information resources of the companies considered in the work, as well as other general scientific research methods.

Results. The study revealed that the negative trend in Russian-South Korean relations is replaced by multidirectional trends. On the one hand, the decline in commodity turnover between the countries in most provisions continues, while on the other hand, many South Korean companies have resumed operations or expressed intentions to return to the Russian market.

Conclusions. Despite the change of power in the Republic of Korea, obvious changes in international trade, and the emerging hopes for changes in sanctions regime in Russia, qualitative improvements in Russian-South Korean trade and economic cooperation should not be reckoned on, as, the new political atmosphere will be neutral at best.

Aim. The work aimed to present the analysis and essential content of the concept of “sustainable development” and to determine the criteria for its evaluation.

Objectives. The work seeks to analyze the features of the concept of sustainable development of economic systems in modern conditions, to identify aspects of the crisis of the concept of sustainable development, to study the content of the core of the terminological field, namely the content of the concepts of “sustainable development,” “sustainability,” “resilience,” to differentiate them and determine the criteria for their evaluation.

Methods. The scientific provisions presented in the article are obtained using the basic provisions of the concept of sustainable development and the ESG agenda, the theory of management of economic systems, the theory of assessing the effectiveness of economic actors, management of environmental and social development of economic systems, expounded in the works of famous Russian and international scientists. In the study course, the authors used the methods of scientific literature analysis.

Results. It was revealed that the concept of sustainable development is currently not effective sufficiently, which is recognized by both scientists and the initiating organization (UN). The significance of the essential content of the concepts of “sustainability,” “sustainable development,” “resilience” is determined, since a methodology and tools for assessment cannot be formulated due to the absence of clear definitions. A comparative analysis of the content of the concepts of “sustainability,” “sustainable development,” and “resilience” proposed by various scientists is performed, and a conclusion is made about the need to differentiate these concepts. The author’s statement of the content of the concepts of “sustainable development” (the development process focused on sustainability and implying balanced actions to manage the activities of the economic system) is proposed. The work proposes the criteria for assessing the concepts of “sustainability” (maintaining the main characteristics of the economic system in values close to the state of equilibrium, as a result of an adequate response to internal and external changes), “sustainable development” (study and maintenance of the process, in this connection the dynamic characteristics of the selected indicators are important), and “resilience” (initial and satisfactory values of indicators recognized as equilibrium, the system’s response to external shock effects).

Conclusions. An essential definition of the concept of “sustainable development” is formulated, the categories of “sustainability,” “sustainable development,” and “resilience” are differentiated, and the criteria for their assessment are defined.

Aim. The work aimed to conduct system analysis of modern approaches to application of newest technologies by enterprises in the regions of the Russian Federation (RF), as well as develop recommendations for the formation of effective models of their technological updating, taking into account regional and industry specifics.

Objectives. The work seeks to characterize modern approaches and tools for application of new technologies by enterprises in the regions of the Russian Federation and assess their impact on innovative development; to identify key criteria for assessing the level of application of newest technologies, and conduct an empirical analysis of the levels of technology application in different regions of the country; to develop recommendations for considering regional characteristics and determining effective models of technology application to ensure the innovative development of enterprises in the regions of the Russian Federation.

Methods. The study employed a comparative analysis of regional characteristics influencing the choice of a technological renewal model and an assessment of significance of the criteria identified. The study is based on an analysis of published scientific papers and statistical information.

Results. The empirical study results revealed regional differentiation in the application of technologies, with regions with a developed urban environment and a solid scientific base leading. The importance of taking into account regional characteristics when choosing optimal models of technological renewal is demonstrated. It is argued that it is necessary to develop comprehensive methodological approaches combining technological, institutional, and evolutionary aspects of the application of newest technologies by enterprises at the regional level.

Conclusions. The study confirmed significant regional differences in the technological development of Russian enterprises. The work substantiates the need for a differentiated approach combining adaptive models of technology application (innovation ecosystems for leaders, strengthening public-private partnerships for middle-market companies, infrastructure programs for outsiders) with a key role of public-private-scientific synergy, which will reduce disproportions and ensure sustainable innovative growth

Aim. The work aimed to propose directions for the further development of industrial tourism in the Republic of Bashkortostan, to construct a model of interaction between its participants (stakeholders), and to determine the expected results for them, as well as to classify the risks associated with industrial excursions.

Objectives. The work seeks to analyze the state of industrial tourism in the Republic of Bashkortostan (hereinafter referred to as RB) and to assess its potential for further development; to propose directions and objects of industrial tourism; to develop a model of interaction between participants (stakeholders) of industrial tourism and to determine the role of each of them; to classify possible risks in organizing and conducting industrial excursions; to present the expected results of industrial tourism development for all its interested participants.

Methods. The study employed analysis and synthesis, generalization and classification, as well as modeling as a methodological basis for the article. The information base included legislative acts of the Russian Federation, data from official government websites of the Russian Federation and the Republic of Bashkortostan, scientific articles, monographs, periodicals in the field of industrial tourism, methodologies for the development of industrial tourism in Russia, as well as statistical compilations on the topic under study.

Results. The study was used to assess the potential of the Republic of Bashkortostan for the development of industrial tourism, to compile a classification of its objects, to propose a model of interaction between participants in the development of industrial tourism, which can be used to determine the role of each of the stakeholders, as well as to identify the risks associated with the formation and implementation of excursion tours to industrial facilities, and to determine the expected results from the development of industrial tourism for all its participants and the republic as a whole.

Conclusions. The study conducted by the author and the proposed model of interaction between industrial tourism participants allow for a more comprehensive approach to its development, which will increase the popularity and prestige of trade jobs among young people, an increase in public awareness of the modernization of production and the development of technologies, a decrease in the outflow of the younger generation from the region, and the creation of a system for exchanging experience in various industries.

Aim. The work aimed to study the transformation of IT outsourcing from a cost reduction tool into a strategic mechanism for digital adaptation of companies, and to analyze its impact on global value chains.

Objectives. The work seeks to identify key trends in the IT outsourcing market; to assess the role of technological innovations (artificial intelligence, cloud solutions) in changing business models; to determine the factors contributing to successful integration of outsourcing into corporate strategies.

Methods. The study methodology is based on an interdisciplinary synthesis of approaches from institutional economics, strategic management, sociotechnical theories and the concept of global value chains. The starting point is the understanding of IT outsourcing, on the one hand, as an economic phenomenon, and on the other hand, as an institutional and managerial one, forming a cross-border architecture for the distribution of digital resources. The empirical base includes industry reviews and analytical studies, as well as annual reports of leading IT companies.

Results. It was revealed that hybrid multi-cloud models with joint management of intellectual capital are beginning to prevail in IT outsourcing. It was established that in the context of geoeconomic confrontation, IT outsourcing is transforming from global offshoring to friendshoring and nearshoring against the backdrop of companies’ efforts to minimize sanctions and regulatory risks. It was revealed that customer companies balance between global providers and regional niche companies, while forming distributed ecosystems in search of access to innovations, scalability, and flexibility of resource. It is argued that IT outsourcing is becoming an increasingly important mechanism for the redistribution of knowledge and technology under conditions of a multipolar digital economy.

Conclusions. IT outsourcing is evolving towards strategic partnerships that combine technological flexibility and risk management. Key success factors include adaptation to regulatory requirements (GDPR, DORA) and the integration of digital competencies.

Aim. The work aimed to assess the impact of the number of children in the family on life satisfaction of the Russian population over the past decade using econometric analysis methods.

 Objectives. The work seeks to analyze the demographic situation in Russia over the past decade based on statistical data; review the reasons for changes and current trends in this field, and to make forecasts of population dynamics. It also seeks to study the key measures of socioeconomic and demographic policy of the state, as well as their impact on the birth rate situation in the country; to analyze early theoretical views and modern studies focusing the problems of economic development of countries and fertility, as well as the works of Russian authors, which discuss the causes of the birth rate decline in Russia.

Methods. The study used the RLMS-HSE (Russia Longitudinal Monitoring Survey — Higher School of Economics) data for the period from 2007 to 2023 to analyze the relationship between the quality of life of the population and the number of children in the family, since it was with this period that the beginning of an active state stimulating demographic policy was associated. A binary model of panel ordered choice (Ordered probit model) was used to construct the models.

Results. Based on the studied literature and statistical data, the current demographic situation in modern Russian realities was analyzed. Measures of state socio-economic support to stimulate the birth rate were reviewed. The key factors contributing to the birth rate decline in Russia were identified. Econometric analysis revealed a relationship between life satisfaction and the number of children in the family. The article results can be used in new studies on this subject and in the creation of state demographic policy.

Conclusions. The ordered selection model was used in the econometric analysis of panel data for federal districts. The results obtained were used to conclude that having at least one child is associated in most federal districts with a decrease in life satisfaction of the population. This indicates a difficult situation for families with children and the need to implement additional measures of socio-economic support for people with children. An increase in the quality of life of the population is associated with an increase in income and good health. 

Aim. The work aimed to justify and develop an integrated approach to the use of business process forecasting as a key tool for decision-making in the “from future” logic, with a special emphasis on the integration of digital twin technology and the use of nonlinear sensitivity analysis methods.

Objectives. The work seeks to identify the synergistic effect of the integration of forecasting and digital twin technology based on the presented mechanism for improving the quality and depth of forecasts; to justify the use of nonlinear sensitivity analysis to assess the sustainability of forecast models and the reliability of management decisions; to propose methodological recommendations for integrating forecasting, digital twins and nonlinear sensitivity analysis into a single management decision-making process; to assess the potential benefits, and to identify the key challenges and risks associated with the implementation of such an integrated approach into management practice.

Methods. The study employed methods of theoretical analysis, system analysis and data analysis to solve the problem set.

Results. The work formulates and discloses the concepts of proactive management and forecasting of business processes, and it substantiates an integrated approach to their application based primarily on the use of digital twins. The concept of decision-making from the future is disclosed as a strategic paradigm, while organizations do not simply predict the most probable future with it, but form actively the desired development scenario and create a strategy to achieve it. The necessity and importance of nonlinear sensitivity analysis within the approach described is substantiated.

Conclusions. The study enabled to substantiate and detail an integrated approach to forecasting business processes as a central tool for decision-making in the “from future” logic. It reveals that in the context of increasing dynamism and uncertainty of the external environment, traditional reactive management methods are becoming insufficient, giving way to a proactive paradigm aimed at shaping the desired future. The key element of such a transition is the synergistic combination of advanced analytical methods. 

Aim. The work aimed to determine the features of strategic motivation based on a comprehensive analysis of existing scientific approaches to studying it, that distinguish it from operational motivation, as well as identify and systematize its specific characteristics in the context of an innovative economy.

Objectives. The work seeks to conduct a systematized analysis of scientific publications by Russian and international authors on the issue of strategic motivation of personnel and compare it with operational motivation; explore theoretical approaches to understanding the features of the strategic motivation manifestation in the context of innovative development of organizations; analyze the practices of creating strategic motivation systems in leading innovative companies in Russia; identify and systematize the specific characteristics of strategic motivation in the context of an innovative economy.

Methods. The study employed an approach to defining strategic motivation as one of the functions of strategic management in the theory and methodology of strategizing by V.  L.  Kvint. The study applies the method of theoretical analysis of scientific literature, analysis of consulting companies and regulatory documents, as well as comparative method when comparing Russian and international approaches to motivation, the method of system analysis of current practices of Russian companies, and the methods of generalization and classification of the data obtained.

Results. In the study course, distinctive aspects of strategic motivation were formulated based on the analysis of Russian and international terminological approaches, identification of general and specific characteristics of the concepts of “motivation” and “strategic motivation”. Based on experience of leading Russian innovative companies (Sberbank, Yandex, Gazprom), as well as existing measures of state support for the implementation of a systematic approach to the formation of long-term motivation systems at innovative enterprises of the country, key factors determining the need to create and develop strategic motivation systems in an innovative economy were identified. This was used to develop the author’s scheme of specific factors of strategic motivation in an innovative economy.

Conclusions. The formulated distinctive characteristics inherent in strategic motivation (longterm, comprehensive, focus on strategic goals, etc.) can be used for further in-depth theoretical analysis, in particular, the influence of such aspects as strategic thinking and strategic leadership on strategic motivation. The identified factors characteristic of an innovative economy (focus on deferred results, stimulation of initiativity and creativity, high level of uncertainty and risk, support and development of talents, prevalence of non-material incentives over material ones) should be taken into account when generating a strategic motivation system at innovative enterprises to increase its effectiveness. 

Aim. The work aimed to identify key socio-economic factors that shape patterns of financial behavior of the population in the regions of the Russian Federation (RF), as well as assess their dynamics for the development of targeted support measures and regional educational programs.

Objectives. The work seeks to cluster regions of the Russian Federation based on socio-economic indicators to detect typical development models, in particular, to assess the dynamics of changes in the level of financial literacy of the population for  2019 and  2023; to construct multi-level models that take into account the influence of individual and regional factors on financial behavior; to develop recommendations for adapting public policy taking into account regional specifics.

Methods. The study employed cluster analysis (k-means using the elbow method), variance analysis (ANOVA), scenario modeling, and multi-level modeling (MLM).

Results. The study revealed stable differences in the financial behavior of the population of Russian regions, induced by socio-economic factors. Cluster analysis identified four groups of regions, while each of them demonstrates characteristic development patterns. Multilevel modeling confirmed the importance of the regional context, where  15% of variations in the level of financial literacy can be due to territorial specifics. Individual factors, including age, income, and education, also have a significant impact, but their effect varies across regions. The revealed positive relationship between the level of digitalization and financial literacy is of particular interest, as residents of regions with developed digital infrastructure demonstrate higher results, regardless of individual characteristics.

Conclusions. The results confirm the need for a differentiated approach to the implementation of the task of improving financial literacy, taking into account regional characteristics. Measures for each cluster from infrastructure development in depressed regions to advanced educational programs in developed ones are recommended. 

Aim. The work aimed to determine, based on the analysis of international experience, the aspects (methods of organizing the system, techniques and tools) relevant for improving the forecasting system of socio-economic development of the Russian Federation (RF).

Objectives. The work seeks to analyze the experience of socio-economic forecasting in the USA, Canada, Germany, France, the People’s Republic of China (PRC) and a number of other countries; to identify the features of the North American, Asian and European forecasting systems; to determine the aspects (measures, mechanisms and tools) of international experience, applicable to forecasting the socio-economic development in Russia at the regional level.

Methods. A number of methods were used in the study, including deduction and induction, comparative and cause-and-effect analysis, synthesis of a number of sources, including state and regional strategies, regulatory legal acts of the Russian Federation, the European Union (EU), the USA, Canada, Japan, China, and a number of other countries, as well as generalization, specification, and graphical interpretation.

Results. An analysis of international experience in socio-economic forecasting systems has revealed key practices that can be applied to improve the efficiency of the Russian forecasting system. These practices include the creation of special bodies (in the public administration system) with tasks of coordination and methodological support of forecasting and planning processes at various levels; systematic modernization and updating of methodological documents on forecasting; inclusion in the forecasting and planning process of events for high-quality and large-scale public discussion of forecast and strategic documents; ensuring the consistency of forecast documents developed for different periods; development of commercial forecasting and cooperation between federal and regional authorities, which are subjects of forecasting socio-economic development, and university innovation and analytical centers. Further research in this field can be aimed at developing recommendations for adapting international experience to Russian conditions.

Aim. The work aimed to identify and justify the mechanisms for sustainable development of the services sector in the region using the Republic of Tatarstan as an example.

Objectives. The work seeks to consider various types of services (tourism, medical, housing and utility services, financial, etc.) and analyze their role in the socio-economic development of the region.

Methods. The study employed the analysis of scientific literature, statistical data and regulatory legal acts as the work methodological basis, which enabled to determine the key features of the services market (intangibility, synchronicity of production and consumption), as well as the main factors of competitiveness and innovation of its enterprises.

Results. The service industry development has a positive effect on the social sphere through creating new jobs and improving the quality of life of the population. The integration of modern technologies contributes to the conservation of natural resources, and the development of ecological and rural tourism protects the ecology and culture of the region by means of raising additional funds from this activity. The study results indicate the need for a cluster approach, digital transformation and government incentives to improve the efficiency and balance of the services market. The recommendations proposed can be used by regional authorities and the business community in their practical activities.

Conclusions. Sustainable development of the service sector involves increasing the diversity of services due to economic development and demand, as well as improving their quality due to competition and integration of modern technologies. In addition, sustainable development implies a close relationship between educational organizations, business and the state, within which educational institutions train qualified personnel who are proficient in innovative technologies, and the state provides benefits and subsidies for the service sector development. The service sector is characterized by the absence of a material component, which causes difficulties in standardization and requires the development of advanced management methods. Due to a comprehensive strategy for the development of the service industry, including state aid, promotion of capital investment, training personnel in the implementation of innovations, and the use of clustering in entrepreneurship, the Republic of Tatarstan is able to achieve accelerated progress in the field of services. 

Aim. The work aimed to analyze single-factor and multifactor models for assessing the profitability of hedge funds with an emphasis on emerging markets.

Objectives. The work seeks to test the CAPM (Capital Asset Pricing Model) and the Fama–French five-factor model on global hedge fund indices; highlight the key regional features of emerging markets (Asia, Latin America, Eastern Europe); as well as construct an extended factor model taking into account the features of emerging markets.

Methods. The study employed the analysis methods of calculating return-to-risk ratio coefficients (e.g., the Sharpe ratio), the index method (grouping several assets/funds similar in certain characteristics into one index), and constructing single-factor and multi-factor models.

Results. The study demonstrates that the use of multi-factor models for assessing the profitability of active investment strategies of hedge funds in most cases outperforms single-factor CAPM models. Empirical results confirm that the inclusion of additional factors increases significantly the explanatory power of the models, reaching in some cases 75%–90% of the explained variance compared to 50%–70% for CAPM.

Conclusions. The practical significance of the work consists in providing tools for a more accurate assessment of the effectiveness of active investment strategies of hedge funds, which allows investors to make informed decisions, and managers can optimize their strategies. The results for the emerging markets strategy are of particular interest to Russian investors in the context of sanctions from Western countries and limited access to developed markets and can also be used by management companies when making investment decisions related to foreign assets in the relevant regions.