Vol 8, No 6 (2025)

the article examines the main directions and mechanisms of state support for large families in modern Russia. Special attention is paid to the analysis of current social policy measures, their effectiveness, as well as identifying existing problems and ways to solve them. A comparative analysis of the regional specifics of the implementation of support measures is carried out. To achieve the goals, methods of comparative and content analysis of legal acts, scientific literature, and statistical data of recent years were used. Proposals are made to improve the support system for large families using an integrated approach.

the purpose of the research in this article is a comprehensive sociological analysis of the probation institute in Russia as a social institution that defines its role in overcoming the problems of social exclusion, alienation and facilitating the adaptation of marginalized groups (former convicts, persons in conflict with the law) in the context of the transformation of modern Russian society. The research objectives include: revealing the essence of probation as a social institution through the prism of sociological concepts; analyzing the structural and functional characteristics of the Russian probation model; identification of key problems hindering its effective functioning in the context of social integration; development of practice-oriented recommendations for optimizing its activities. Methods: the methodology of this study is based on a systematic approach, analysis of documents and official statistics data. The research is based on theoretical developments in the field of sociology of law, sociology of deviation and theory of social institutions. Results: the results and scientific novelty of this study are that the probation institute is considered not only as a penitentiary mechanism, but also as a key factor in reintegration, whose effectiveness directly affects the level of social exclusion and marginalization in society. The systemic dysfunctions of the institute related to interdepartmental barriers, staff shortages and stigmatization of target groups have been identified. Specific measures have been proposed to strengthen the social component of probation. The practical significance of the work lies in the fact that its conclusions and recommendations can be used by the Federal Penitentiary Service of Russia and social services to develop rehabilitation programs, improve methods of working with probation clients, as well as to form public policies aimed at reducing recidivism and strengthening social cohesion.

in the context of rapid digitalization, childhood is increasingly integrated into the information and communication environment, which is no longer a neutral tool and is becoming a structural factor in modern childhood culture. The purpose of this study is a theoretical and cultural analysis of the information and communication environment as an ontological condition of childhood, actively determining its content, forms and vector of development. In contrast to traditional approaches that focus on either the risks or the opportunities of the digital environment, the paper offers an integrative view of the information and communication environment as a system-forming cultural phenomenon that forms new models of identity, communication, play and spiritual experience of the child. The research used methods of theoretical and phenomenological analysis, as well as an interdisciplinary approach combining cultural studies, philosophy, pedagogy and media studies. The results show that the information and communication environment transforms the traditional culture of childhood, generating hybrid, post-traditional practices, but at the same time carries risks of loss of authenticity, privacy and depth of experience. The practical significance of the research lies in the possibility of using its findings to develop humanistic models of digital education, media literacy programs, ethically sound educational strategies and child protection policies in the digital environment.

in this article, the author summarizes the main theoretical positions on the problem of defining subjective well-being, personality, and values. An empirical study is organized and conducted, aimed at identifying the value-normative foundations of the subjective well-being of modern youth. As many note, youth are at an important stage when they are just forming life goals, value orientations, and ideas about what it means to be satisfied with their life. Therefore, it can be said that subjective well-being plays a significant role not only for individual people but also for the development of society as a whole. The basis of the research is the sociological survey method (n=100). Based on the results of the study, contradictions are identified, and the value-normative ideal of subjective well-being characteristic of modern youth (in a student sample) is determined.

the article is devoted to a sociological analysis of interactions in the field of social work with convicts in the context of modern institutional transformations in Russia. The purpose of the study is to identify and comprehend the contradictions between the normatively fixed goals of re-socialization and real everyday practices determined by the institutional framework of the penitentiary system. The objectives of the study included: analyzing the institutional design of social work and probation, studying the content of everyday interactions between social workers, convicts and other actors, as well as identifying key dysfunctions and barriers in the relationship under consideration. The methodological basis of the study was the analysis of scientific publications and works devoted to these issues, as well as the practice of social work with convicts. As a result, certain gaps have been identified between the practice of humanization implemented through new institutions (probation) and the peculiarities of the penitentiary system, which is able to reproduce criminalization and stigmatization in case of errors in the practice of executing criminal sentences. The scientific discussion is based on the issues of probation effectiveness, the social worker's role conflict and the potential for intersectoral interaction. The practical significance of the work lies in the development of proposals to improve institutional design, personnel policy and interaction technologies aimed at overcoming the identified contradictions and increasing the effectiveness of the rehabilitation of convicts.

in the context of the unprecedented Western sanctions against Russia imposed following the 2022 Ukrainian crisis, the resilience and adaptive transformation of Sino-Russian trade and economic relations have gained critical scientific and practical significance. The aim of this study is to identify the mechanisms of adaptive transformation, analyze the optimization of the commodity structure of bilateral trade, and investigate the formation of new mechanisms for industrial and supply chain cooperation between China and Russia from 2020 to 2024. The methodological framework of the research is based on the comprehensive application of a sanctions intensity index, fixed-effects panel data regression, case study analysis, and a comparative analysis of data from the General Administration of Customs of China, the Federal Customs Service of Russia, and UN Comtrade. The theoretical foundation builds upon the works of scholars such as N. Gould-Davies, A.V. Gavritukhin, I.V. Karavaeva, Li Shuangshuang, among others, while the empirical part relies on regulatory documents and official statistics from both countries. The results demonstrate the following key findings: empirical evidence confirms the asymmetric impact of sanctions on the trade structure – a one-unit increase in the sanctions intensity index leads to a 0.32% decrease in energy trade volume but stimulates a 0.45% increase in trade of machinery and electrical equipment, confirming the "forced transformation" hypothesis; a structural reorientation of bilateral trade has been identified, shifting from traditional energy complementarity towards deepened cooperation in manufacturing and technology, with the trade volume of machinery and electrical equipment growing by 145% over the 2020-2024 period; it is established that institutional innovations, including settlements in national currencies and policy coordination, effectively mitigated external shocks and fostered synergistic effects within value chains. The study's findings have enabled the formulation of specific recommendations for state policy, corporate strategy, and public engagement, aimed at enhancing the mechanisms for the sustainable development of Sino-Russian economic cooperation in the post-sanctions period.

the purpose of the study is to develop an approach to forecasting Russia's foreign economic development in the context of ongoing sanctions pressure from Western countries. The key factors influencing the dynamics of exports, imports and the development of the country's economic model are analyzed. Methods: statistical methods for analyzing Russia's foreign trade turnover are used as methods in the presented study. Results: the study has developed a model that allows forecasting the development of Russia's foreign trade activities while maintaining critical geopolitical conditions. The results of the correlation and regression analysis showed that Russia's foreign trade activity with the European Union is largely influenced by oil prices and the redistribution of trade flows towards China. Conclusions: the structure of Russia's foreign trade until 2030 will be determined by the price situation of commodity markets, the further reorientation of flows towards China and Asian countries, as well as institutional and sanctions restrictions from the European Union. The key drivers of changes will continue to be China's share of trade and the dynamics of global oil prices, and the restoration of previous trade volumes with the EU is unlikely under current development scenarios.

in the current context of economic development of the Russian Federation, which is experiencing unprecedented sanctions pressure, limited access to international capital markets and key venture funds for the development of innovative projects, the task of developing methodologies for selecting innovative projects that take into account the specifics of the external environment and the development of the economy as a whole is relevant. The objective of this study is to analyze the best international methodologies for selecting innovative projects in order to adapt them and build a national methodology for selecting innovative projects that allows achieving both the objectives of achieving national technological sovereignty and commercial efficiency from the implementation of innovations through the selection of the most viable projects with high implementation potential. Based on the conducted analysis, an adaptation of the original scoring model MDP by E. Litau is proposed, which allows increasing the efficiency of innovative project selection procedures by including in the assessment model the indicators aimed at synchronizing with the national innovation development strategy of the Russian Federation; inclusion in the model of innovation assessment parameters based on a set of indicators of the best methods used in the Russian Federation for the purposes of public financing (SPIC 2.0, FRP programs); the use of a two-loop MDP scoring system based on the use of a simulation model, which allows for a qualitative scenario analysis of the development of an innovative project.

this article is devoted to a comprehensive study of the role of public-private partnerships (PPPs) and venture investments in ensuring sustainable economic growth and innovation-driven development in modern Russia. The research aims to identify the contribution of these tools to the modernization of the national economy, describe their key elements and implementation mechanisms, as well as assess prospects for further development. The author focuses on specific features of PPP mechanism formation and implementation, revealing its potential for effectively promoting infrastructure projects, developing scientific and technological capabilities, and enhancing innovation activity within the economy. The unique role of venture investments is analyzed, highlighting their active involvement in supporting small businesses, launching high-tech startups, and advancing new ideas and developments. The study covers both positive aspects of existing models of PPPs and venture investing, as well as challenges that limit their effective application. It provides an in-depth analysis of current conditions surrounding these mechanisms, identifies obstacles hindering improvements in PPP practices and venture financing in Russia, pinpoints weaknesses in the established system, and offers recommendations for overcoming barriers and optimizing interaction between state authorities and business entities. In conclusion, it is argued that efficient integration of PPP components and venture investment instruments is essential for transitioning towards an innovation-based type of economic development in Russia, improving competitiveness among domestic producers, and ensuring sustained economic growth.

the article examines current trends in the socialization of business in Russian regions and evaluates the practice of governmental regulation and support of socially oriented corporate activities. A systematic analysis of public governance mechanisms in business socialization processes within the regions of Russia is presented, based on empirical data from 2022–2024. The scientific novelty of the study lies in the development of an integrative regional governance model that combines legal, economic, institutional, and digital mechanisms within a unified analytical framework, as well as in the justification of a methodology for assessing the synergistic effect of social programs using standardized indicators and long-term financial instruments. A three-level institutional architecture is proposed to align corporate ESG programs with national priorities and indicators of population well-being. Based on an analysis of more than 4,400 public-private partnership projects, corporate ESG practices, and data on social investments, key limitations were identified, including a lack of unified metrics for evaluating social outcomes, fragmentation of project activities, and limited availability of long-term financing instruments. Policy recommendations are formulated, including the standardization of reporting, implementation of social bonds, and the development of digital platforms for evidence-based governance. Purpose: to identify and analyze the state of business socialization processes in Russian regions and evaluate the effectiveness of public policy mechanisms aimed at supporting and integrating socially oriented business practices into the regional development system. Methods: the research applies methods of system and comparative analysis, as well as content analysis of regulatory documents and scientific publications related to public policy and business socialization. Logical and structural-functional approaches were used to generalize and interpret the findings. Results: the study confirms that Russian business demonstrates a stable trend toward participation in social initiatives; however, the implementation of public policy remains uneven across regions. The research identifies several core issues: the absence of a unified system for assessing social outcomes, insufficient integration of business initiatives into regional development strategies, and the limited availability of long-term financing mechanisms. A three-level regional governance model is proposed to align business ESG strategies with state priorities and metrics of population well-being. Conclusion: the results indicate that business socialization in Russia is undergoing a transformational shift from fragmented initiatives to systemic integration into regional development agendas. Enhancing policy effectiveness requires the standardization of social reporting indicators, the development of digital monitoring platforms, expansion of financial support instruments, and the introduction of outcome-based financing. Implementation of the proposed model will increase the social return of business involvement and strengthen the resilience of regional socio-economic systems.

current trends in the development of small communities include digitalization, tourism development, rethinking agriculture, and the emergence of new economic models based on local potential. These trends aim to improve quality of life, engage the population, and ensure sustainable development through support for local infrastructure, entrepreneurship, and innovation. Objective: to study and analyze the key features of the modern development of small communities and identify the challenges and opportunities that arise during development. Methods: a variety of methods were used in this study, including analysis of statistical data and existing scientific literature, as well as theoretical generalization, comparison, grouping, and synthesis, to provide a deeper understanding of the topic under study. Results: The analysis of current small community development methods revealed a number of objective problems and characteristics that hinder their development. The study's findings highlight the importance of considering social, economic, and environmental factors in the development of communities. Conclusion: the study concludes with practical recommendations for the application of small community development methods. These recommendations are aimed at improving quality of life and attracting residents to these communities.

mentorship plays a crucial role in achieving success for both employees and organizations as a whole. For newcomers, it serves as an effective adaptation tool that helps them quickly adjust to the work environment, avoid common mistakes, and gain confidence through the support of more experienced colleagues. For companies, mentorship is a strategic investment in the development of human capital, strengthening teamwork, improving productivity, and reducing staff turnover. This article examines the significance of mentorship in modern organizations as an important factor in enhancing employee performance and strengthening organizational culture. The author justifies the need to develop a motivation and incentive system for mentors that supports their professional growth and satisfaction with their role. The relevance of the topic is highlighted in the context of increasing competition and technological change, where effective mentorship becomes a key tool for unlocking employee potential and improving company competitiveness. Under these conditions, organizations must purposefully develop their employees’ potential through a well-structured mentorship system. This requires a carefully designed motivation and incentive framework for mentors that aligns with the organization’s culture. The degree to which this system harmonizes with the company’s values and principles directly affects not only employee performance but also overall sustainability, innovation, and market competitiveness. The purpose of this study is to explore approaches to motivating and incentivizing mentors in accordance with the specifics of the organization’s culture, as well as to identify the factors influencing the effectiveness of these approaches. Results: it has been established that the presence of a well-developed mentoring system contributes to the accelerated adaptation of new employees, reduces stress levels during the onboarding process, and shortens the time required to reach planned performance levels. It was also determined that effective mentoring is directly linked to the level of mentors’ motivation, which depends on the availability of a system of incentives (both material and non-material) and recognition of their contribution to team development. The study revealed that mentor motivation is most effective when it aligns with the company’s values and organizational culture: formal incentives have a lesser impact if they are not supported by an intrinsic sense of significance in the mentor’s role. Conclusions: mentoring should be viewed not as a temporary adaptation tool but as a strategic element of human capital management that has a long-term impact on organizational development. The effectiveness of mentoring is determined not only by the personal qualities of mentors but also by the presence of a well-designed system of motivation and incentives that reflects the specifics of the organizational culture. To enhance the effectiveness of mentoring programs, it is essential to create a balance between material and non-material incentives, including recognition, professional development opportunities, and participation in decision-making.

the article discusses the problem of building a balanced scorecard (BSC) for manufacturing companies. In an environment where traditional financial indicators are increasingly insufficient for an adequate assessment of the long-term viability of such enterprises, it is advisable to turn to the BSC concept as a tool for overcoming this gap. The relevance of the article is dictated by the existing contradiction between the retrospective nature of financial analysis and the need for proactive strategic management focused on intangible assets such as customer base, internal processes, and human resources. The goal of the article is not just to describe a classic model, but to characterize the scientific and methodological principles for its construction, taking into account the specifics of the industrial sector. Results. The author's contribution lies in formulating recommendations that are focused on solving typical implementation problems. The presented material will be useful for heads, entrepreneurs and managers of production organizations, specialists in strategic planning, and researchers who focus on the problems of modern management accounting and strategic management in industry. Conclusion. It is summarized that the mechanical application of universal BSC templates in production is ineffective. Deep adaptation is required, with a special focus on the perspective of internal business processes and ensuring multi-level balance of indicators (structural, resource, and time).

the presented article examines theoretical and practical aspects of risk management in small trading companies operating under the conditions of digital transformation and increasing market uncertainty. The study outlines the current state and development prospects of small business in the Russian Federation, highlighting the specific risks inherent to small trading enterprises, including operational, logistics, financial and digital risks. Special attention is paid to the possibilities of adapting modern risk management instruments – based on the ISO 31000 and COSO ERM frameworks as well as digital monitoring and analytics tools – to the resource constraints of small firms. The article proposes an integrated toolkit for risk identification, classification and assessment in small trading companies, including a probability-impact matrix, a risk map and a step-by-step algorithm for managerial response. Using the case of the small trading company “Excellent Tools” LLC, a pilot implementation of the proposed approach is carried out: key risk factors are identified, their level is evaluated, and a targeted risk mitigation programme is developed. The results show that the introduction of a systematic risk management mechanism contributes to higher resilience of business processes, reduction of the likelihood and consequences of adverse events, and improvement in the quality of managerial decision-making.

the relevance of the study is driven by the need to adapt the project financing system of the oil and gas industry to new challenges, including geopolitical instability, the energy transition, tightening environmental standards, and rising capital costs. The aim of the article is to develop comprehensive recommendations for improving project financing mechanisms in the Russian oil and gas complex based on an analysis of modern domestic and foreign practices. The methodological framework includes comparative analysis, case studies of major projects, risk analysis, and economic-mathematical modeling for investment portfolio optimization. The scientific novelty lies in the systematization of project financing barriers and the proposal of an integrated model that combines public-private partnership (PPP) instruments, digitalization methods, and risk mitigation approaches. The study identifies the key problems as high cost of capital, long payback periods, and exposure to currency and technological risks. Based on the analysis of literary sources, practical mechanisms for optimizing the financing structure are proposed, including the use of ESG principles to attract "green" capital and the implementation of digital twins to improve cash flow predictability. The results of the work are of significant practical value for financial managers of oil and gas companies, credit institutions, and government bodies shaping sectoral investment policy.

the aim of this study is to develop a comprehensive methodology for assessing the maturity of digital e-commerce platforms' innovation ecosystems. In writing this article, the author used the following research methods: systems analysis, expert assessments, comparative analysis, and multi-criteria evaluation. The work of three largest Russian marketplaces was analyzed: Ozon, Wildberries, and Yandex.Market. During the study, a proprietary methodology for assessing innovation ecosystem maturity was developed, incorporating five key dimensions: technological infrastructure, innovative potential, partner network, customer focus, and adaptability to change. The main results of this study demonstrate significant differentiation in the maturity levels of the analyzed platforms. The author's findings demonstrate the need for a systems-based approach to developing the innovative ecosystems of Ozon, Wildberries, and Yandex.Market marketplaces and offer practical recommendations for enhancing their competitiveness in the context of the digital transformation of the economy.

the purpose of the study is to develop and substantiate a methodological approach to constructing a risk matrix for light industry enterprises using logarithmic scaling. Methods: the research methodology includes expert evaluation techniques, logarithmic transformation of scales, and data visualization methods. Findings: The study proposes a methodology for constructing a 5?5 risk matrix adapted to the operational specifics of light industry enterprises. It demonstrates that the use of a linear scale under conditions of wide variation in the parameters of “probability” and “impact severity” leads to distortions and reduces classification accuracy. A logarithmic model of the risk matrix is developed, ensuring correct visualization of risk zone boundaries. An expert survey was conducted, on the basis of which critical risks included in the red zone were identified. Conclusions: the adapted methodological approach shows clear advantages of logarithmic scaling over linear scaling, significantly improving visualization accuracy and the validity of managerial decision-making. The expert assessment confirmed the effectiveness of the logarithmic risk matrix for identifying risks that require priority response.

the use of digital technologies is becoming necessary to quickly process large amounts of data for detected anomalies, deviations from predefined values, possible inefficiencies in business processes, and markers of corporate fraud. BI-tools can serve as one example of digital implementations. They allow you to link data from various sources, track changes and detect deviations in near real time (taking into account data updates in the systems). This article discusses the use of BI-tools to digitalize control procedures in the process of selling products. Popular BI tools such as Power BI, Tableau, Fine BI, Qlik Sense, Google Data Studio, DataLense are considered. The advantages and disadvantages of BI-tools as a means of control are considered, as well as the possibilities of using these tools in a business process as a control. In addition, the article also analyzes the role of the human factor and the level of competence of economic security employees when using dashboards. Special attention is paid to how their professional skills can be improved to work more effectively. This research can be useful for management and employees of economic security, internal audit, controlling, and internal control in large industrial companies.

in the economic sphere, cross-industrial synergy is a phenomenon where the interaction of organizations or initiatives from different sectors leads to a result that surpasses the simple addition of their individual contributions. This effect occurs due to mutual enrichment and the use of innovative, unique characteristics that are born when combined. Examples include the integration of enterprises operating in unrelated fields, or collaborations to develop common products, where the competencies of one sector contribute to solving problems in another. The features of cross-industry synergy include: the combination of assets and expertise (enterprises from different industries coordinate their resources, technologies and skills to create innovations); the emergence of new properties (when combining elements into a whole, qualities appear that are not peculiar to each element individually); improved productivity (as a result of such interaction, productivity increases and there is a synergistic effect). In a rapidly changing world where traditional approaches to business and manufacturing often prove ineffective, cross-industry synergy represents an important step towards creating a more flexible and adaptive economy capable of meeting modern challenges. The article examines the phenomenon of cross-industry synergy as an important factor in stimulating economic growth. Practical recommendations are proposed to stimulate intersectoral cooperation in order to increase innovation activity, increase productivity and improve the competitiveness of the economy.

the aim of this study is to develop a methodology for assessing the digital competencies of Russian regions and to evaluate the digital competency asymmetry between regions. Methods: statistical methods for analyzing data on ICT and digital competencies development were used, including median normalization and threshold classification, followed by clustering of regions by digital competency profiles. Findings: the results of digital competency assessments using methods from Eurostat, the Ministry of Labor, the Higher School of Economics, and others were analyzed, and a comparison of digital competency development with EU countries by federal district was made. A proprietary assessment methodology was used to assess the digital competency asymmetry between Russian regions. The study analyzed the population's proficiency in various digital competencies in Russian regions: information, communication, problem-solving, and software skills, and assessed the digital competencies of the Russian population across four groups. The regions with the most developed digital competencies were Moscow and the Moscow Region, Tyumen Region, Khanty-Mansi Autonomous Okrug – Yugra, and Chelyabinsk and Irkutsk Regions. Conclusions: a study of the Digital Transformation Strategies of leading and trailing regions allowed us to formulate digital competency development strategies for each group (PPPs for financing digital transformation projects, venture and crowdfunding financing, IT funds, participation in federal programs, support for digital transformation in business, and implementation of educational programs for training in digital competencies).

the purpose of the study is to reveal friendshoring as a new paradigm of economic geography and to determine its impact on the spatial organization of the global economy in the regional and sectoral context. Methods: methods of description, analysis and synthesis, comparative and systematic approaches, as well as tabular and graphical methods are used to structure and visualize the determinants of friendshoring and spatial dynamics of global production networks. The empirical basis is made up of scientific publications, materials from international organizations, and data characterizing the transformation of global supply chains. Findings: the main methods and tools of friendshoring are highlighted; a model of friendshoring as a mechanism for the redistribution of global production networks is proposed, including geopolitical, institutional, technological and socio-economic factors; an analysis of key macro-regions using friendshoring is carried out. Conclusions: the development of friendshoring strengthens the "geography of trust", significantly changes the structure of production chains and expands the analytical capabilities of regional and industrial economy in the context of fragmentation of international trade.

in the context of growing interest in rural tourism, ethno-confessional heritage is becoming a vital resource for agrotourism development. This article examines the relationship between the settlement patterns of ethnic minorities (Tatars, Mordvins, and Chuvash) and the concentration of cultural heritage sites in the Penza Region. The study aims to identify the potential of ethno-confessional agrotourism and formulate recommendations for its practical implementation. Research methods include secondary data analysis, cartographic and comparative-geographical approaches, and spatial visualization using GIS technologies. This study was supported by a grant from the Russian Science Foundation (Project No. 25-28-20463, https://rscf.ru/en/project/25-28-20463/). Results: A clear correlation was established between the compact settlement of Tatars and Mordvins and the high density of religious monuments. Chuvash communities, by contrast, demonstrate a weak connection with heritage sites. Most monuments are in poor condition and remain unintegrated into tourism infrastructure. Conclusion: Effective integration of cultural heritage sites into agrotourism is achievable through support for small and medium-sized enterprises (SMEs), development of rural HoReCa (hotel, restaurant, and catering) infrastructure, and the creation of thematic tourism routes.

purpose: to systemize and develop a comprehensive mechanism for ensuring the economic resilience of single-industry municipalities (monotowns), synthesizing the theoretical foundations of key economic paradigms and adapted to the modern challenges of Russia's spatial development. Methods. The research employs methods of theoretical synthesis and systemic analysis to integrate the principles of sustainable development theory, spatial development theory, economic diversification, and institutional and evolutionary economic geography. A structural-functional approach is also used to build a multi-level model of the mechanism and develop a typology of monotowns. Findings. Based on the analysis, the following results were obtained: an integrated mechanism for ensuring the economic resilience of monotowns was formed, consisting of three interconnected blocks: a system of principles (ideological foundation), a system of strategies (substantive vectors), and a system of tools (practical implementation); the key role of a multi-level institutional architecture coordinating the actions of federal, regional, and municipal authorities, businesses, and public structures was identified; a comprehensive typology of monotowns based on risk level and development potential was proposed, allowing for the differentiation of state support measures. Conclusions. The developed mechanism is proactive and aims at the systemic transformation of monotowns through economic diversification, infrastructure modernization, and targeted changes in the institutional environment. Its implementation enables a shift from a policy of palliative support to a strategy of structural transformation, turning monotowns from "risk zones" into "territories of opportunity," which is of strategic importance for enhancing Russia's resilience and national economic security.

the article is devoted to the analysis of the integration of artificial intelligence (AI) technologies into corporate governance, identifying the prospects and challenges associated with this process. Theoretical foundations are considered, including the concepts of data-centric management and industry 5.0, as well as practical examples of AI applications in the oil and gas, legal and HR fields. Particular attention is paid to technological, organizational, ethical, and regulatory risks, including a lack of quality data, resistance to change, algorithmic bias, and a lack of unified standards. Based on the analysis, recommendations are proposed for the phased implementation of AI, including digital maturity audits, the development of ethical codes, staff training, and performance monitoring. The article emphasizes that the success of AI integration depends on a balance between technological innovation and the human factor, which allows companies to achieve sustainable development and competitive advantages in an era of global challenges.

the purpose of the article is to analyze the economic and financial relations of the BRICS countries in the context of the continuous sanctions impact of the G7, the EU countries and their allies on a number of the member states of the association. The article examines the main economic and financial indicators of the BRICS, G7 and the EU. The share of BRICS, G7 and EU in global production and consumption is compared. The analysis of the GDP of the BRICS, G7 and the EU has been implemented. A search has been carried out for directions for the development of economic and financial relations between the BRICS countries in order to increase economic power. The research used the method of comparative analysis of statistical data, the method of generalization and grouping of data, the graphical method and the method of analysis of scientific literature. It is concluded that overcoming a wide range of sanctions problems of the BRICS countries is associated with the expansion of cross-border settlements based on national and digital currencies of the members of the association. The pressure of sanctions and trade restrictions on cross-border payments within the framework of the integration association will reduce the introduction of the BRICS supranational payment system. The possibilities of practical application of the research materials are based on the use of the data obtained to solve real problems in the development of economic and financial relations of the existing BRICS member states.

in the context of accelerated digital transformation and the formation of global ecosystems, the traditional business models of the consumer goods sector (FMCG) are undergoing fundamental changes. The modern economic reality requires companies to introduce innovative approaches to value creation and delivery, where the key factors are the use of artificial intelligence (AI), the transition to direct sales channels (D2C) and the personalization of consumer experience. The relevance of the research is determined by the need to systematize new forms of interaction within the framework of the platform economy. Objective: to develop theoretical and methodological provisions and practical recommendations for the formation of innovative business models of FMCG companies in the context of the development of the digital commerce ecosystem. Methods: the work uses a systematic approach, general scientific methods of analysis, synthesis and comparison. The methods of structural and logical analysis were used to identify the links between digitalization and model transformation, as well as a case study (based on the experience of Vkusville) to detail the mechanisms for implementing innovative strategies. The theoretical basis consists of the works of domestic and foreign scientists in the field of digital transformation, platform economics and ecosystem theory. Results: a conceptual model for the transformation of FMCG business into a hybrid ecosystem (KMT FMCG-GE) has been developed, combining D2C channels, a platform-oriented strategy and data-based management using AI. The five most effective business practices (subscription model, data-driven customization, Phygital integration, platform collaboration and proactive demand management) are identified and systematized, and an algorithm for implementing the model through the creation of a "Data Core" is proposed. Conclusion: the digital transformation of the FMCG sector requires a transition from product-centricity to customer-centricity. A sustainable competitive advantage in the new environment is achieved through the synergy of technology and data, which allows companies to overcome dependence on traditional intermediaries and directly manage the consumer experience.

the article presents an analysis of vertical integration models as a factor of resilience in medium-sized businesses operating in the real sector of the economy. The study combines theoretical approaches to assessing the impact of structural integration, digital modernization, and managerial maturity on companies’ ability to maintain stable operations under external instability. Three integration models are examined – the classical model, vertical M&A transactions, and digital integration – and their differing mechanisms of influence on resource control, execution predictability, and the adaptability of operational systems. The findings show that process consistency, the presence of proprietary infrastructure, and digital management systems form stable operational frameworks that reduce dependence on suppliers and enhance a company’s ability to withstand demand fluctuations and logistical disruptions. Particular attention is given to the limitations of applying integration models in medium-sized businesses, including constraints related to access to financing, human resources, and integration capacity. The study substantiates that vertical integration becomes effective when organizational readiness and technological foundations are in place, forming the basis for long-term resilience and competitive advantages. The article may be useful for managers of industrial and construction companies, supply chain analysts, and strategic development specialists.

the article is devoted to the design and application of the Immersive HRM module for recruiting, pre-boarding and adaptation based on AI-assisted and behavioral analytics. The relevance is justified by the growing demands for differentiation of the employer's brand, reduction of input costs and the transition of HR analytics to operational solutions. The novelty is related to the principle of "reverse onboarding", end-to-end telemetry within story missions, and the hybrid AI-support–human solution model. The work describes architecture, metrics, and legal verification procedures, examines mechanisms for transferring skills from the VR environment to workflows, and examines cases of scaling across industries. Special attention is paid to the link "engagement ? cognitive processing ? behavioral transfer" and the guided ethics of selection. The goal is to create a reproducible Immersive HRM operating model with criteria of efficiency and fairness. To achieve this goal, comparative analysis, narrative synthesis, process mapping and case generalization are applied. In conclusion, the proven effects for the selection and input cycle, scaling conditions, and risk regulators are described. The article will be useful for HR directors, training methodologists, product teams, and people-analytics specialists.