In the context of digital transformation, organizational ecosystems management is becoming a key area of scientific research and practical activities. The analysis of conceptual approaches to ecosystem management, their classification, and effectiveness assessment in modern conditions has been carried out. Special attention has been paid to the functional and level aspects of managing interactions among ecosystem participants, which makes it possible to identify structural features and determine optimal coordination mechanisms. Methods of system analysis, comparative research, and theoretical modeling were used, which allowed us to structure existing approaches and identify their applicability in various scenarios. The analysis results indicate the high importance of integration, innovation, and evaluation approaches, as well as the need for an integrated management approach that ensures a balance among strategic development, operational efficiency, and technological adaptation. Practical application of the findings is possible in developing management strategies for various types of ecosystems, including business associations, digital platforms, and public-private partnerships. The prospects for further research are related to adaptive management models development focused on dynamic changes in the market environment and technological innovations. The findings confirm the importance of a multi-level management structure for achieving sustainability and competitiveness of organizational ecosystems.

In modern conditions, information and communication technologies and the Internet are of particular importance for economy development. Traditional science and technology management tools are becoming less equipped to capture the pace at which innovation is changing society. The relevance of the research topic lies in the fact that in the context of the Russian economy digitalization, a new approach to technology management is needed, as well as an effective state strategy development in the digital economy sphere. Given all the obstacles to new technologies implementation, digital economy policy should be aimed at creating favorable economic conditions necessary for development and growth of digital industrial companies and small innovative enterprises. The role of digital technologies in the modern dynamically developing economy has been determined. The Russian telecommunications market development at the present stage has been assessed. The features of e-commerce development in Russia have been investigated. The Russian market dynamics in the artificial intelligence sphere has been analyzed, and the positive and negative factors influencing its development have been highlighted. The features of digital transformation of large industrial companies have been considered. The issues faced by small and medium-sized enterprises in digital technologies implementation have been highlighted. The factors and obstacles affecting the digital ecosystem development in Russia have been identified. The main components of an effective state strategy in the digital economy sphere, as well as the directions for state policy in the sphere of digital transformation of the Russian industry have been developed. Recommendations on innovative small and medium-sized enterprises activation have been proposed.

A comprehensive analysis of the directions hindering effective development of innovative entrepreneurship in the Russian regions has been carried out. Both internal and external factors limiting the implementation of innovations and modern digital technologies into production processes, as well as into management and organizational activities of enterprises have bene considered. Special attention has been paid to institutional barriers, lack of support infrastructure, low investment activity, and weak integration of science and business. Innovative entrepreneurship plays a key role in ensuring sustainable economic growth, increasing competitiveness of the regional economies and shaping a modern development model. The main issues that hinder forming an effective mechanism for realizing the innovative potential necessary for dynamic development of the business environment have been identified. The presented results have high practical significance and can be used when forming regional and federal programs to support the innovation sector. Recommendations have been given on how to eliminate structural constraints and improve innovation efficiency in business activities. Measures aimed at stimulating cooperation among scientific institutions, business, and the state, as well as creating a favorable environment for the growth of high-tech startups and small innovative businesses in the regions have been considered particularly relevant.

The theoretical and methodological aspects of optimizing organizational structure of management in construction eneterprises have been considered. Various types of organizational management structures, their main characteristics, functioning features, and impact on managerial potential, activities coordination, decision-making efficiency, and overall production efficiency of construction enterprises have been studied. The traditional and modern models of organizational structures, such as linear, functional, divisional, design, matrix, and network, have been analyzed from the point of view of their applicability in construction enterprises of various scales and activity profiles. Based on ­scientific research, the main patterns and trends of structural transformations in construction enterprises have been identified. Successful examples of implementing methods for optimizing organizational structure of management aimed at improving effectiveness of a large-scale targeted investment program, the objectives of which are to create favorable living conditions for citizens, promote renewal of their living environment and public space development, as well as to prevent the growth of dilapidated housing stock in Moscow, have been named. The results of implementing organizational measures to optimize management structure have been analyzed: integration of separate interdependent organizational processes into a single one in order to eliminate functionality duplication and achieve the required level of cooperation, reorganization of structural units to improve coordination, establishment of a mechanism for personnel adaptation and corporate culture development by creating a socially effective system. The rationality and effectiveness of management decisions taken from implemented measures have been substantiated.

The profound structural changes taking place in the global and national economies due to technological progress acceleration, digital transformation, and the transition to knowledge economy have been studied. Special attention has been paid to the manufacturing industry as a key element of industrial potential, with an emphasis on the metallurgical sector, which plays a strategic role in providing the resource, technological, and infrastructural base of other industries. The trend of shifting the center of value creation from tangible components to intangible ones, such as scientific knowledge, innovation, intellectual services, and digital technologies, has been analyzed in detail. The impact of digitalization, automation, and implementation of new management solutions on production processes transformation, changes in the industry structure, and labor resources redistribution has been highlighted. The growing importance of high-tech and knowledge-intensive industries capable of ensuring long-term sustainable growth has been emphasized. Special attention has been paid to the analysis of the current state of the Russian metallurgical industry. Key issues have been identified, including technological backwardness, limited product range, poor integration with science, and a low level of innovation activity. Solutions have been proposed, including production facilities modernization, horizontal and vertical cooperation development, multifactor management models implementation, strategic planning, and increasing international competitiveness.

Based on the analysis of available literature sources on the issue of developing a modern effective land management system in agriculture, the most common disadvantages and factors of inefficient use of agricultural land have been identified. Various theoretical aspects and practical results of land use in the agricultural sector of the agro-industrial complex have been discussed. Much attention has been paid to the analysis of the terminology used, objective economic laws, and scientific foundations of forming and applying management system for the use of land resources. The existing shortcomings of management and inefficient use of agricultural land have been noted, as well as measures to improve management bodies and the system of effective use of land resources in agriculture. There is a need to further deepen the theoretical foundations of the main provisions of agricultural land use and improve land relations in the agro-food complex, ensure continuous monitoring of land using modern means of remote aerospace observation and analysis of the data obtained, and improve the land management system in order to ensure effective management of land resources through (on the basis of) more accurate accounting and assessing land and planning rational land use. It is necessary to strengthen the regional and municipal level of land management, including with a view to further involve unused land in the turnover.

The mechanisms of smoothing the spatial heterogeneity of migration flows, which is one of the key issues of demography, regional economics, and public administration, have been studied. The imbalance in population distribution between regions and municipalities leads to increased economic inequality, a decrease in the quality of life in peripheral and adjacent territories, a demographic crisis, and an overload of large cities. The relevance of the research topic is due to the need to adapt migration policy to changing conditions, including digitalization, remote employment development, and new forms of labor mobility. The purpose of the study is to identify effective tools that promote more uniform population movement and eliminate territorial disparities. Methods of statistical analysis and comparative study of international and Russian experience through research of scientific sources have been applied. The main results include the classification of the mechanisms influencing migration flows regulation and the definition of measures (strategies) for their management. Measures have been proposed to stimulate economic activity in regions with a migration outflow, including investment programs, employment projects development, transport accessibility and infrastructure projects improvement. The practical application of the findings covers the spheres of migration policy management, strategic planning, regional development programs implementation, and sustainable social structures formation.

The interrelationships of economic, demographic, and social factors determining regional economic security have been studied using the Krasnodar Region case. The study covers the period 2012-2022 and includes an analysis of 12 significant indicators such as gross regional product, labor productivity index, and unemployment rate. Based on the correlation analysis, key indicators have been selected for building regression models. Based on the regression modeling results, it has been found that the selected indicators have a nonlinear relationship with gross regional product. A factor analysis has been carried out, as a result of which three groups of factors affecting regional economic security have been identified, with the most significant factors being from the Demographic and Economic Indicators group. Data clustering has demonstrated structural changes in regional economy related to integration into international markets. Binning has been carried out, according to the results of which it has become possible to draw a conclusion about the relationship between unemployment rate and regional economic wellbeing. A logistic regression has been built, and a binary model has been obtained for predicting unemployment rate with a predictive power of 76.6%. Based on the conducted analyses, the most significant indicators for regional economic security have been identified: gross regional product, total fertility rate, and share of high-tech industries in gross regional product. The need for an integrated approach to ensuring economic security has been emphasized, and attention has been focused on supporting innovative sectors and balanced economic development.

The population’s monetary incomes structure for 2015 and 2023 has been analyzed, and the characteristics of structural shifts during the period under review have been given. Special attention has been paid to the characterization of the trends in changes in the average per capita population’s monetary income (both nominal and real). Considering the relevance of the regional differences assessment, a characteristic of the degree of the regional factor impact on the average per capita population’s monetary income has been given. A comparative analysis of the values of per capita population’s monetary incomes in the federal districts of the Russian Federation has been performed. The degree of constituent entities differentiation by the amount of per capita household income in 2015 and in 2023 has been estimated. An algorithm has been presented, and a multidimensional indicator characterizing the quality of life of the population has been calculated, which includes three subindicators such as Economy, Social conditions and State of the environment. The constituent entities of the Russian Federation have been grouped according to the value of a multidimensional indicator of the quality of life of the population in 2023. Based on the calculations carried out, the regions that are the leaders, lagging behind in terms of the the multidimensional indicator value, as well as each of the sub-indicators included in it, have been identified. The measures of social support for citizens aimed at improving their quality of life have been summarized.

In the context of the digital transformation of modern global economy, global digital platforms are becoming key drivers of economic growth in countries. A comprehensive analysis of the international competitiveness of global digital platforms has been carried out, the factors determining it have been identified, and modern trends affecting the balance of power in the global market have been studied. An overview of classical and modern theories of international competitiveness and the possibility of their application in the study of global digital platforms has been presented. Traditional competitiveness indicators are giving way to new and specific factors such as the network effect, scalability, the use of artificial intelligence technologies, and big data. Special attention has been paid to modern challenges and trends, including the tightening of regulatory policies of states in the spheres of antimonopoly regulation and data protection, the growth of digital sovereignty, and digital spaces regionalization. The impact of these factors on global digital platforms adaptation to their business models and strategies for entering new foreign markets has been analyzed. Based on the study results, it has been concluded that the sustainable competitiveness of global digital platforms in modern world is determined not only by technological superiority, but also by the ability to effectively interact with market regulators and quickly adapt to a rapidly changing geopolitical and legal environment.

A comprehensive analysis of digital ecosystem as a key factor in achieving technological leadership of Russia in the context of global competition has been carried out. The conceptual foundations of forming digital ecosystems, their key characteristics, and properties, including integrativity, network effect, scalability, and cross-industriality, have been considered. Based on a comparative analysis of the models of the United States of America, China, and the European Union, institutional and organizational approaches applicable to domestic practice have been identified. Special attention has been paid to the Digital Economy national program, as well as cases of large corporations and projects such as Sberindex, Avtodata, Roselektronika, Yandex, Ozon, Wildberries, and VK. The issues of personnel shortages, infrastructural barriers, cybersecurity issues, and legal restrictions have been studied. Digital ecosystem formation can ensure not only the economy modernization, but also the strengthening of the technological sovereignty of Russia. It has been concluded that the further development of digital ecosystem in the country will be determined by the ability of the state and business to overcome these challenges, reduce dependence on imported technologies, and form a sustainable model of digital sovereignty under sanctions pressure.

Modern digital transformation trends in global and Russian industry has been studied, and scenarios for developing digital transformation trends in domestic industry until 2030 have been considered. The definition and characteristics of industrial digital transformation, as well as its trends, have been given. Attention has been focused on the impact of implementing trending technologies of Industry 4.0 on the achievement of Russian technological sovereignty. The global market of Industry 4.0 technologies has been analyzed, and the key trends of their implementation in the global industry by region have been highlighted. Based on statistical data, the dynamics of implementing digital technologies in the Russian industry for 2020-2023 has been studied, and promising trend technologies of its digital transformation have been described. Based on the analysis, scenarios have been considered for predicting digital transformation trends development in the Russian industry until 2030, including the global crisis and baseline and favorable scenarios. Based on the study results, it has been concluded that there is a discrepancy between the domestic industry digital transformation trends and the global one. An assumption has been made about the possibility of implementing the fourth scenario for developing trends in the digital transformation of the Russian industrial base.

The subject of the study is social and economic relations of socially oriented non-profit organizations, which are developing in relation to ensuring economic security of a state. The purpose of the study is to determine the role and place of such organizations in the state–business–society three-sector model, which is the necessary basis for ensuring social and economic security of a state. The research methodology is based on the use of the interdisciplinary theory of the society three-sector model, which is applied to assess the role and place of socially oriented non-profit organizations in ensuring economic security of a state. It has been proved that economic security of a state is formed and supported not only by state institutions, but also by private institutions of the commercial sector, as well as entities of the non-profit sector. Socially oriented non-profit organizations not only act as partners of a state and its population and economic entities of the commercial sector, but also create a deep foundation for social and economic justice and a fundamental basis for social and economic security at the level of people’s consciousness. The sphere of the obtained results application is defined as political activities implementation and civil society formation through the use of legal, economic, social, and other methods, mechanisms, and tools in order to ensure economic security of a state. It has been concluded that the activities of socially oriented non-profit organizations should be regulated according to one of the three proposed models of state regulation, depending on the goal-setting of non-profit organizations and the depth of their tasks to strengthen economic security of a state.

The expansion of the possibilities of conducting the pricing policy of a retailer of normal goods during the transition to a dynamic pricing strategy has been considered. The market of such goods has been defined as an oligopolistic market of goods with saturated demand and purpose of production. The main method of researching aspects of pricing is the market mathematical modeling. To characterize it, the concept of the saturation coefficient of the market has been introduced, which shows the rate of decrease in the equilibrium price of goods with an increase in the total number of such goods on the market. Special demand functions have been developed that reflect the characteristics of a normal product with saturated demand, and algorithms for estimating the parameters of such a product using econometric methods have been built. The issue of optimizing dynamic price of a product has been formulated in a general way, and its mathematical model has been constructed, which uses a special demand function. An algorithm for solving the issue for a stepwise price function using the Lagrange conditional optimization method has been developed. A critical range of parameters characterizing the properties of a product being sold has been determined, going beyond which requires a transition to dynamic pricing. The optimal values of stepwise dynamic price have been determined. A methodology for optimizing dynamic pricing in a specific retail organization selling normal goods has been compiled, and ways to improve the methodology have been indicated when considering the competitive environment in which an enterprise in question operates.

Amid the turbulence of the global economy, changes are also taking place in population’s well-being, which are recorded not only in the poorest countries, but also in relatively developed countries such as the USA. The comparison of indicators determining the standard of living in the Southeastern United States has been carried out. The purpose of the study is to compare the standard of living in the Southeastern United States and identify trends in the standard of living in these states. The objectives of the study are to form a ranking of states according to the rating of each considered indicator of living standards and a general ranking for all three analyzed indicators of living standards, identifying their dynamics. According to the study results, in the states with a more diversified structure of the national economy, the quality of life is higher. Moreover, in these regions, the insignificant impact of external factors on the social and economic development and the standard of living has been established. Such factors include the impact of global economic crises. The study has not revealed any trends in changes in the standard of living in the future in the regions under consideration. In some states (for example, in West Virginia), the negative impact of scientific and technological progress on the economy state is noticeable, which is reflected in the transition of the energy industry to more modern and cheaper fuels such as shale gas.

The issue of improving interaction in B2B markets based on knowledge management has been studied. The conducted research of consumer behavior in the process of interaction between business clients and a KIBS company revealed a trend towards a gradual decrease in their activity, which invariably leads to an aging of the customer base and an outflow of customers. Considering the main advantages of KIBS companies, namely a high level of expertise and extensive knowledge bases, it has been proposed to include expert and educational content in the interaction process, which will not only transfer knowledge to customers during the interaction, but also form longterm loyalty by creating strong relationships between participants. The types of knowledge-based communications have been identified, and their phased implementation has been proposed. The conducted research allowed us to develop a model of interaction between a KIBS company and business clients, considering communication activity regression. A shift in the focus of knowledge-based communications from informing to involving and educating has been revealed. The omnichannel inclusion of expert and educational content in the process of interaction between a KIBS brand and a client company is not only justified, but also necessary to preserve and develop the client base of KIBS companies and strengthen its competitiveness.

The results of the research work carried out on the basis of the data from the federal state budgetary institution of the Department of Land Reclamation of the Ministry of Agriculture of the Russian Federation have been presented, revealing the features of building the competitiveness potential of organizations in the land reclamation industry due to extensive development opportunities. The purpose of the study is to analyze extensive factors in forming the competitiveness potential of the subordinate organizations labor force in the context of federal districts. Research methods are comparative, theoretical, and practical analyses, statistical methods (grouping, cluster and correlation analysis), and indicative rating assessment of organizations of the Department of Land Reclamation. The study results consist in collecting, statistical and economic analysis of the data on extensive labor force indicators from subordinate organizations of the Department of Land Reclamation, and determining the dynamics of their changes in the context of federal districts for the period 2020 and 2022. The novelty of the results lies in the fact that for the first time a methodology for indicative rating assessment of the competitiveness potential of the federal state budgetary institution in the labor force has been developed and tested, extensive factors of the competitiveness potential of the labor force have been identified, which make it possible to identify significant changes and opportunities for building the competitiveness potential of subordinate organizations in the labor force. The results obtained reveal the characteristic features of the labor competitiveness potential of the federal state budgetary institution in the context of federal districts for the period 2020 and 2022, actualize the strategic directions for developing labor resources of the Federal State Budgetary Institution of the Department of Land Reclamation, and allow forming a database named “Indicators of extensive factors of competitiveness potential in the reclamation sector of the agro-industrial complex of the Russian Federation”.

The issues of state financial support for domestic small and medium-sized enterprises (hereinafter referred to as SMEs) have been studied. These enterprises have the ability to flexibly adapt to the conditions of both the internal and external environment. The distinctive features of SMEs are their openness to managerial, technological, and marketing innovations, their ability to respond promptly to market demand, and develop new business lines. SMEs have other advantages of responding flexibly to a changing business environment. The forms and methods of state support for SMEs at the regional level have been considered. It has been noted that at the present stage of the Russian economy development, one of the characteristic features of the country’s economic space is noticeable imbalances in the regional social and economic development, especially between the western and eastern constituent entities. The analysis shows that the implementation of the considered forms and types of financial state support requires large amounts of budget funds to support SMEs. Wider use of various forms of non-financial support is advisable. To stimulate the activities of regional SMEs, it is necessary to create a favorable environment for entrepreneurship and implement a set of institutional support measures.

The purpose of the study is to identify current issues in the process of financial management in municipalities and propose ways to solve them based on the study of theoretical and practical aspects of financial management in municipalities. The subject of the study is the financial relations of municipalities. The research methods used were general scientific (sources research, analysis, abstraction, formalization, thought experiment, deduction, synthesis, and classification) and empirical (coefficient method, absolute indicators method, balance method, and vertical and horizontal analysis) ones. The issue of the discrepancy between positive cash flows to municipal budgets from internal sources and their expenditure side has been studied. It has been proposed to pay attention to measures to expand the potential for forming the revenue side of the budget of the Adyge-Khablsky municipality in Karachay-Cherkessia or to make better use of existing reserves. The application sphere is the budget system of the Russian Federation, namely the finances of municipalities. Further research should be aimed at substantiating the methodology for using reserves to strengthen the revenue side of municipalities, an algorithm for identifying issues and opportunities to strengthen the financial management system of municipalities, and making proposals to improve certain standards regarding municipal finances.

The XX World Sociological Congress held in 2023 on the topic “Resurgent Authoritarianism: The Sociology of New Entanglements of Religions, Politics, and Economies” has been analyzed. The present study is based on the congress materials comprehension results. The authors’ main interest is aimed at considering the topics of the materials presented at the congress, as well as the issues that they contain. The authors’ approach to data analysis has been presented, based on the content analysis method, as well as the use of modern statistical analysis tools and the Python programming language. Based on the data obtained, modern sociology trends have been identified. The analysis carried out and the identified trends allow us to judge world sociological thought development, as well as the key issues faced by modern society. In addition, the international congresses analysis makes it possible to identify the main patterns of sociology development and also provides an opportunity to consider both local and global issues from all sides and to identify the most relevant topics. The analysis showed that the most crucial topics for modern sociologists include inequality, conflicts, and various challenges facing humanity. The World Sociological Congress study results emphasize the importance of cross-cultural interaction among scientists, as it makes possible a comprehensive analysis of social processes and phenomena.

The factors of consumer behavior and their relationship with economic parameters have been investigated and determined. Macro-environmental factors force consumers to adapt to circumstances beyond their control. A review of studies related to dependence of changes in the purchasing patterns of country’s population and its economic and political environment has been conducted and presented. Insufficient data has been found in the studies, and therefore a sociological method has been used to collect primary information among the demographic group of women under 35, who are the most prone to making impulsive purchases. Based on the obtained results analysis, the hypothesis about the impact of state’s economic instability on the consumer behavior of its population has been confirmed. Based on the implemented research results, general recommendations have been formulated for businesses in the following segments: confectionery, bakeries, and coffee shops. The outlined options for business growth points in these categories correspond to the identified trend towards making impulsive purchases by Russians as a way to deal with stress caused by instability and uncertainty of the country’s economic condition, which is confirmed by a review of scientific sources, statistical data, and the collecting expert opinion. A further research vector has been proposed.

A comprehensive analysis of the historical and political factors that led to forming an original path of the Russian civilization development has been carried out. The complex of interrelated reasons has been considered, from Russia’s unique geopolitical position between East and West to the deeply rooted Orthodox worldview, which influenced national identity and the spiritual and moral guidelines of society. Considerable attention has been paid to the study of the power relations specifics, in particular, the steady trend towards a centralized management model and the dominant role of the state as the main source of order and legitimacy. The key historical cycles have been analyzed, which manifest themselves in alternating phases of modernization breakthroughs and periods of conservative return, which has been interpreted as a characteristic feature of Russian political dynamics. The importance of the phenomenon of the state’s priority over the interests of individual and civil society, reflected in historical memory, political culture, and institutional practices, has been emphasized. The research has been carried out using an interdisciplinary approach that combines political science, historical, and socio-cultural analysis. This approach provides an opportunity to understand more deeply the nature of Russian statehood and the specifics of its evolution over the centuries. The issue of historical management models’ continuity and their impact on modern political processes in Russia has been considered. The emphasis has been placed on the deep cultural codes that determine the attitude of society to power, freedom, and justice. The conclusions presented in the paper will be useful for understanding the stable features of Russian political culture and forecasting its further transformation in the context of global modern challenges.

The phenomenon of patriotism representation as a social value in modern digital environment has been studied, with an emphasis on social networks as a communication channel that has a significant impact on forming worldview of younger generation. The theoretical framework consists of the axiological approach to defining patriotism as a value and the tools of dramatic sociology by I. Hoffman in the context of the analysis of the values representation phenomenon in social networks. A process-information approach to communication has been applied to analyze patriotism value representation in social networks. Through the prism of classical communication models (the linear model of G. Lasswell, the mathematical model of Shannon-Weaver, and the circular model of Osgood-Schramm), the key components of translating patriotic narratives in the digital environment as a communicative process have been considered and illustrated, in particular, the mechanisms used in transmissing such signals, communication barriers (noise) that hinder successful communication, and the role of feedback in building and correcting communication strategies. The results obtained emphasize the multidimensional nature of representation in social networks, demonstrating both the positive effects of communication (widespread dissemination and assimilation of patriotic values) and the negative ones (the risk of semantic distortions that deform information perception). The research contributes to a comprehensive understanding of the value representation process in a networked society, emphasizing the importance of a combined analysis that considers the maximum number of components of the communication process.

The specifics of forming university’s social capital as a system of social ties, norms of interaction, and trust that arise in interpersonal and professional spaces has been considered. The purpose of the study is to expand the conceptual provisions of the social capital theory in relation to university development in the context of the resource-institutional approach. It has been proved that social capital as a communication resource is transformed into desired results under the influence of institutional factors (moral, legal, and economic norms and customs governing the activities of people and organizations), which allows the subjects of various relations to benefit. A model transforming internal and external university communications (intangible elements of social capital) into practical results (publications, technologies, inventions, and projects) that form the final performance indicators for education, science, innovation, entrepreneurship, and the “third mission” has been presented. The key directions of social capital development have been demonstrated using the example of the Ural Federal University, the importance of strategic partnership with representatives of science and business, stimulating research and innovative entrepreneurial activities of employees, maintaining long-term relationships with graduates, and forming a social culture in the professional environment of the university has been noted. The study showed the reciprocal impact of social capital on the university’s activities. On the one hand, social resources materialize into performance indicators and competitive advantages, and on the other, the results achieved make it possible to improve the mechanisms of social capital accumulation (employee motivation, communication technologies among stakeholders).

Two dependencies have been considered in comparison, which are similar in form, representing dependencies with a maximum of approximately the same values in standard scores or comparative weights, but at the same time completely different in linear Pearson correlation within the accepted rules of its interpretation. These are the dependence of the Sensitivity (SMI-2) variable of the Smishek questionnaire on the Respect for others – self-esteem (25F-10) variable of the five-factor personality questionnaire with a negative (– 0.218) significant correlation and the dependence of the Guilt Feeling (AGR-8) variable of the A. Bass and A. Darki methodology on the Pedantry (SMI-7) variable of the Smishek questionnaire with a positive (0.225) significant correlation. These correlations are significant at the level of p = 0.01, that is, according to the unspoken rules accepted by the majority of the psychological scientific community, they deserve a lot of attention in order to be presented as the study result. With this approach, two strong dependencies with a maximum should be considered as two opposite relationships: one as a direct relationship (increasing dependence), the other as an inverse relationship (decreasing dependence), which qualitatively changes both the interpretation of the results and possible practical recommendations. For clarity, all information has been illustrated with graphical representations of the analyzed dependencies.

Digitalization has had a significant impact on various aspects of public life. In the context of economy, this process has led to active development of e-commerce sector, an increase in the number of online businesses, and a change in consumption patterns of goods and services. In catering sphere, as an important element of economy, innovative technologies bring changes both to the cooking process and to consumption experience. Special attention has been paid to such risks as a decrease in the level of personal communication, emergence of dependence on automated systems, as well as stress and burnout among employees. The survey conducted among respondents of different generations showed the variety of adaptive strategies they apply in response to modern challenges. The effectiveness of these strategies significantly affects the approaches to risk management in Russian catering enterprises. The key aspects of digital technologies impact on interpersonal interactions within management structures, as well as on consumer behavior, have been considered. Using methods of qualitative and quantitative analysis, the study reveals the impact of digitalization on collective norms and values, as well as on the psycho-emotional state of employees in the changing market. The study results emphasize the need to develop strategies aimed at minimizing the negative consequences of digital transformations, such as adapting management models and implementing programs to support the psycho-emotional well-being of employees.

The interrelation of self-control and life satisfaction among students of different courses of higher education institutions has been considered. The purpose of the study is to identify the features of this interrelationship at various stages of the educational process. A sample of full-time students from Moscow universities, covering five bachelor’s and specialist’s degree courses, has been used as an empirical base. The methodological tools included the Short Self-Control Scale (Brief Self-Control Scale), the Social Self-Control Scale (Self-Monitoring Scale), the Life Satisfaction Scale (Satisfaction with Life Scale), and the Subjective Happiness Scale (Subjective Happiness Scale). Statistical data processing has been carried out using the Shapiro-Wilk criterion to verify the distribution normality and Pearson correlation analysis to assess the interrelationship of the studied indicators. The results demonstrated that self-control positively correlates with life satisfaction in the junior years, reaching its maximum significance in the third year. At the senior stages, the impact of self-regulation weakens, giving way to social factors. The revealed patterns emphasize the need for a differentiated approach to psychological support for students, considering the stages of their professional and personal development. The prospect of further research is to analyze the impact of individual personality characteristics and external social determinants on subjective well-being regulation in the educational environment. The use of the longitudinal approach and additional methodological strategies will make it possible to clarify the mechanisms underlying these relationships.