Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process.

   Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.

   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education.

   Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.

   Purpose: is to study of the processes of digitalization and digital transformation of the real sector of the economy of the regions of the North Caucasus Federal District.

   Methods: the methodological basis of the study was the concept of the digital economy, the theoretical principles of supply-side economics, the systems approach, trend analysis and predictive analytics. The study is based on the use of the methods of economic and statistical analysis, scientifi c abstraction, analogies and scientifi c generalizations. The methods used are characterized by validity and show a high degree of eff ectiveness.

   Results: digitalization and digital transformation processes are underway in the North Caucasus Federal District, but the pace remains low. To accelerate these processes, it is necessary to solve two interrelated problems: fi rstly, to materialize the processes of digitalization and digital transformation in the real sector of the economy of the regions of the federal district, and secondly, to train personnel in certain specialties who can eff ectively operate digital technologies. In the fi rst case, it is possible to use the model of catch-up development at the regional level, which will make it possible to implement the principle of “advantage of backwardness” and use the accumulated global and regional experience in the transition to the modern trends in the operation of digital technologies. In the second case, it is proposed to organize special centers in the subjects of the district for retraining digital technologies specialists with the necessary competencies and/or advanced training with the issuance of the confi rming certifi cates. Such centers could train exclusive specialists at the request of enterprises or engage in refresher training and retraining of the necessary specialists. The creation of the centers is possible on the basis of public-private partnership.

   Conclusions and Relevance: the main task of the digital transformation of industry is considered to be the modernization of production process management, which will lead to the signifi cant increase in labor productivity. To implement such a scenario, the economic entities in the regions of the North Caucasus Federal District need to move away from the traditionalist approaches that take place in the organization and management of enterprises, and switch to the processes of digitalization and digital transformation of the real sector of the economy of the district.

   Purpose: is to reveal the peculiarities of government policy aimed at building human capital in high-tech industries.

   Methods: this research is based on a systems approach; decomposition of human capital in order to identify systemic gaps in its formation; qualitative (traditional) analysis of government programs and projects; a comparative analysis of the directions of Russian government policy and some leading countries in the field of high technologies aimed at human capital development.

   Results: the essence and structure of the organization's human capital are considered based on the stages of its reproduction, as well as from the position of its expanded interpretation. Systemic gaps in the formation of human capital of high-tech organizations have been identified, including gaps in the formation of individual and corporate human capital, as well as in the institutional and infrastructural support for its reproduction. The features of Russian government policy aimed at the formation of human capital in the high-tech sector are shown, in comparison with the policies of a number of foreign countries. The role of government programs and projects (“Priority
2030”, “Professionalitet” and “Advanced Engineering Schools”) in overcoming systemic gaps in the formation of human capital in high-tech organizations is outlined.

   Conclusions and Relevance: the performed analysis showed the presence of a wide range of government policy measures of a number of countries that occupy leading positions in the field of high technology, aimed at developing human capital in the high-tech sector. Among them are the development of fundamental science, interdisciplinary and mathematical knowledge, STEM competencies, as well as strengthening the interaction between the academic sector and the high-tech sector. The arsenal of tools of domestic government policy includes a focus on practice-oriented training, the development of digital competencies, advanced training of management personnel, as well as the development of interaction between the academic and high-tech sectors. The federal project “Advanced Engineering Schools” corresponds to the elimination of the largest number of system gaps. At the same time, the systemic gap at the stage of formation of general human capital, which manifests itself in the poor physical and mathematical training of schoolchildren, remains unresolved.

   Purpose: through the prism of new knowledge generated by the author, to explore possible ways of modernization and transformation of Russia in the conditions of the new reality: conducting the special military operation, the sharp confrontation with the collective West, the series of sanctions and counter-sanctions, the new economic course – supply-side economics, the Concept of technological development until 2030 and development of neural network artifi cial intelligence.

   The article is a natural continuation and an integral part of the research conducted by the author over several decades and dedicated to finding ways to a future without crises and destructive wars for Russia and the global world.

   Methods: the article uses a complex of general scientifi c methods, including analysis, generalization, comparison, etc. The research is based on the results of the author’s previous works and is relies on the methodological tools formed in them – new knowledge, a new scientific paradigm (NSP).

   Results: the author analyzed the state of Russia in the context of the need to gain economic and technological sovereignty. It is shown that there remains a lack of eff ective ways out of the deepest crisis and understanding the future in economic, scientifi c and technological aspects. Analysis of Russian and foreign publications through the prism of new knowledge made it possible to once again prove that the future of the world does not lie in the development of artifi cial intelligence, but in the transition to a new development paradigm (NDP) and comprehensive human development in a new model of life.

   Conclusions and Relevance: the conclusions of the author’s previous research on the need to transition to a new development paradigm were confi rmed. New evidence has been obtained that Russia, in the conditions of the new reality that began in February 2022, has become even closer to switching to NDP, the meaning and goal of which is the person himself, within the framework of which his highest need is satisfi ed – to become perfect in the physical, intellectually and spiritually.

   Purpose: of the study is algorithmic modeling of the commercialization of digital intellectual assets (CIAS), taking into account pricing factors, risk and the level of commercial potential, based on the identifi cation of CIAS and determination of their specifics.

   Methods: general scientific methods of comparative analysis, systematization and generalization, identifi cation of distinctive features and price-forming factors that take into account the specifics of the objects of research are used. To form a model of the commercialization of digital intellectual assets, the algorithmic approach, the method of expert assessments in calculating the indicator of commercial potential, approaches and methods of valuation in determining the initial value of assets were used.
Results: the author formulated the defi nition of a digital intellectual asset (DIA), establishes its relationship with related categories of assets, identifi es two categories of DIA indicating common and distinctive properties. Based on the results of the identifi cation of DIA, the factors aff ecting the value and commercial potential of various types of DIA are determined. The method for calculating the indicator of the commercial potential, taking into account the factors considered, is proposed. The tools of the commercialization, as well as approaches and methods of estimating the initial cost for various categories of DIA are disclosed. The algorithmic model of the DIA commercialization is constructed.

   Conclusions and Relevance: the algorithmic model of commercialization of new types of assets, digital intellectual assets, proposed in the article takes into account their specifi cs and factors aff ecting the initial cost and commercial potential. The model can be used by Russian companies to increase their competitiveness in the context of the development of the digital rights and technologies market. Further research should be devoted to the specifi cation of the commercialization algorithm for certain categories of DIA: 1) intellectual property objects in digital form; 2) digital (digital utilitarian) rights to such objects and their use, implemented exclusively according to the rules of the information system (investment platform).

   Purpose: of the article is to develop a model of the value system of Russian youth, which can form the basis for the formation of the orientations of young people necessary for the state, contributing to the sustainable development of the Russian Federation.

   Methods: the article used both traditional methods of scientifi c analysis and methods of Bayesian intelligent measurement methodology used in conditions of uncertainty, inaccuracy and incompleteness of data characteristic of social and socio-economic systems.

   Results: in the presented study, the extensible hierarchical information model of the value system of Russian youth has been developed. The methodology for processing questionnaire data has been developed, the results of which are presented on numerical and linguistic scales, which makes it possible to take into account the uncertainty of the information received. According to the results of the survey of university students of 10 subjects of the Russian Federation aged 17 to 30 years, a total of 1816 people obtained the values of factors characterizing the value world of Russian youth, which allowed her to form her portrait. Some value factors of young people of the Tula region are evaluated and analyzed.

   Conclusions and Relevance: the proposed model and methodology for processing personal data allows us to create the adequate holistic portrait of Russian youth in modern economic conditions. The formation of two groups of young people characterized by unfavorable and favorable value attitudes towards Russian society has been revealed, which in the future may lead to a confl ict of social and economic interests, thereby negatively aff ecting the pace of economic growth and sustainable development of the state. In order to reduce internal tension between youth groups and the formation of values inherent in Russian society, measures at the federal and regional levels are proposed.

   Purpose: is to propose a model for managing a digital brand image brand based on consecutive feedback loops from the image target
audience.

   Methods: collection, processing, and analysis of secondary data were carried out on the basis of desk research, synthesis methods, content
analysis, and systemic, structural and functional data evaluation using an interdisciplinary approach.

   Results: systemized methodological approaches in Russian and foreign practice by the authors served as the basis for development of a digital brand image management model based on consecutive feedback loops from the image target audience. Within the framework of the proposed model, it is supposed to create systems in a digital environment for providing feedback to the image target audience and monitoring of formed relationships with consumers. The authors' methodological recommendations for implementation of the proposed model are manifested in detailed approaches to organizing the relationship of the image object with the image target audience through different types of feedback loops, methods of monitoring responses and reactions of target consumers, methods of assessing image in a brand's digital environment to close feedback loops.

   Conclusions and Relevance: loops of feedback from the brand’s image target audience are a causative mechanism of dynamic nature in which the output data of subjective and objective consumer assessment of brand reputation is used as input data for the management and enhancement of the digital image. Setting up a system of feedback from consumers through digital channels on the basis of consecutive loops allows you to correlate planned indicators of the brand image with the actual indicators, as well as identifi cation of the existing problems and introducing timely adjustments to decisions on managing a brand’s digital image.

   Purpose: of the study is to develop an adaptive model of higher education system management in the context of digital transformation of the economy.

   Methods: the methods of interdisciplinary, structural and logical analysis, typologization of management models, rating and expert assessments were used in the work. The methodological basis of the research was: a three-sided model of higher education management assessment, a "management cube", including a model of new managerialism, a two-plane model of higher education system assessment, level-based, adaptive approaches to higher education management.

   Results: based on the analysis of the higher education management system in the context of the digital transformation of the economy, the need for the formation of new adaptive mechanisms and management models of this system as an area where human capital is formed and developed, necessary for the breakthrough development of the country. Also, the trends of digitalization in the field of higher education have been identifi ed. Recommendations for its adaptation to the digital transformation of the economy have been developed and substantiated. As a key tool of the adaptive management model, an organizational model of adaptive management of the higher education system has been developed, which makes it possible to adapt the entire education system to the challenges of digital transformation of the economy.

   Conclusions and Relevance: the developed organizational model will make it possible to build an eff ective work of the higher education system using adaptive management mechanisms, that allow it to optimally adapt to modern transformational processes, that occur according to cyclical crisis phenomena and the next industrial revolution. Digital transformation and the conditions of Industry 4.0, as well as the technological singularity, which is already the reality, do not allow us to strategically correctly build one specifi c model of management of the higher education system, since the above-mentioned processes become the trigger for constant transformations, including in the field of education. The organizational model of adaptive management proposed by the authors is innovative, allowing to adapt iteratively to the ongoing transformations of social and economic systems. Thus, this model is strategically relevant and promising for the both modern conditions of functioning and long-term development of the education sector.

   Purpose: is to test the research tools for studying modern trends in the implementation of ESG practices and their effectiveness in Russian companies.

   Methods: this article examines the applicability of the research tools for analyzing the activities of organizations in the direction of the ESG agenda. We analyzed such tools as comparative analysis of fi nancing ESG projects, content analysis of report texts, regression analysis of the relationship between the ESG ratings and the fi nancial performance of the company. A comparative analysis of methods was carried out based on the results of appropriation of instruments.

   Results: the main result of the reporting analysis is the identifi cation of a trend towards reducing disclosure of information on the financing of ESG projects. We can identify main areas of investment in requests from external and internal stakeholders based on available financing information. The conclusion about the increase in mentions of social projects and initiatives in the fi eld of environmental protection based on a content analysis results. We also identifi ed the highest priority areas for each of the ESG components. The main priorities are: the social agenda – "employee welfare"; responsible attitude to the environment – "reduction of greenhouse gas emissions", "energy–efficient materials and technologies", "waste management" and "water consumption"; corporate governance – "observance of shareholders' rights". The hypothesis about the positive impact of ESG rating on company value confi rmed. There was a positive relationship between a company's environmental performance and value, as well as a negative relationship between value and social performance.

   Conclusions and Relevance: despite the challenges and sanctions restrictions, Russian companies continue to be active in the ESG field. For a more complete analysis of the ESG projects and their coverage in non-financial reporting, it is preferable to use a combination of research tools.

   Purpose: is to identify state of the art, key aspects and distinctive characteristics of the smart specialization concept based on a study of the current state and the initial prerequisites for its formation, including linkages with other theoretical approaches.

   Methods: theoretical provisions of regional and spatial economics, innovative development, and economic geography by Russian and foreign scientists were used for conducting the research. Тhe methods of bibliometric, statistical and content analysis of literary sources constituted a methodological framework for the study. A systematization of publications for 2012–2021 was grounded on thematic samples from eLIBRARY.ru, Scopus and Web of Science databases. An analysis of text array content was conducted with the aim of further critical interpretation of the revealed patterns and identifi cation of promising research directions.

   Results: it was found, that despite the fact that the concept of the smart specialization was based on many previous theoretical approaches, it made a signifi cant contribution to the new political vision of regional development. It is shown how the initially sectoral approach, through the use of the postulates of economic geography, was transformed into the territorial concept. The conducted bibliometric and content analyses of literary sources made it possible to identify the inherent characteristics of the concept, principles and tools for its implementation, as well as formulate the author’s defi nition of the smart specialization approach.

   Conclusions and Relevance: the importance of smart specialization consists of the following aspects. Firstly, substantiating the need for differentiated regional policy for various types of regional innovation systems. Secondly, scientifi c and practical substantiating the importance of the related diversifi cation approach to regional development to stimulate structural changes that are signifi cant for economic dynamics. Thirdly, focusing on interregional interaction to ensure complementarity of scientifi c and technological regional development.