Nº 6 (2025)

the article considers the problem statement and mathematical model of selection of competitive prices for products of the prospective production program of a multi-product industrial enterprise with serial production. The criterion is the profitability of equity invested in covering the costs of production activities, and the limitations of the model are the production and technological capacity of the most loaded assets in production stages and the financial and resource potential involved in the main production shops. A version of a nonlinear discrete model with two independent variables is given: the volume and price of manufactured products, and an original method for reducing the dimensionality to one independent variable is proposed, allowing the application of the linear simplex method algorithm to find the optimal solution. The result of the modeling is the solution to the problem of selecting a competitive price for products of a prospective nomenclature or a statement of the fact of its absence for the conditions of a given enterprise.

the presented study substantiates the need for revision and purposeful updating of the documentary base of international institutions responsible for controlling cross-border capital flows in order to strengthen the stability of national economies in the context of increasing intensity of global financial flows and increasing their systemic interconnectedness. The purpose of the work is to identify poorly regulated processes related to the control of international capital movements. The objectives of the work are to analyze key theoretical approaches to regulating the international movement of capital, as well as to formulate proposals for their improvement. The article also examines the practical implementation of the proposed transformation through institutionalized cooperation between states, central banks and international organizations, which involves the coordination of regulatory agreements, setting up macroprudential contours. The practical significance of the results is expressed in the development of applied tools for regulators and analysts: a set of updated recommendations for modernizing the regulatory framework, methods for assessing systemic sustainability using stress testing and network analysis of relationships, as well as operational response contours to global financial shocks aimed at reducing the negative consequences associated with uncontrolled capital flows and reducing the total costs of crisis episodes, which ultimately, increases the adaptive readiness of national economies to external shocks and strengthens their long-term financial stability.

the geopolitical shifts of the last decade, especially after 2022, have radically changed the context of the functioning of the Russian agro-industrial complex. Previously, import substitution was perceived as a necessary, short-term measure. Today, it has transformed into a strategic impetus for the deep modernization of the industry. This article analyzes how the sanctions pressure and the disruption of the usual logistics chains have become not a brake, but a catalyst for structural changes in the agro-industrial complex. The author examines the evolution of the state agrarian policy – from a focus on increasing production volumes to a new paradigm focused on increasing profitability and technological sovereignty. Special attention is paid to practical support measures: from preferential loans and customs preferences to an unprecedented increase in subsidies for elite seed production (up to 50% of costs) and livestock breeding. The article analyzes changes in the legislative framework, including the updated 2020 Food Security Doctrine and the reform of the subsidy system, which entered into force in 2024, which combined 14 areas of support into one, with an emphasis on cost compensation rather than stimulating gross performance. Import substitution has ceased to be just a survival tool. It has become a mechanism forcing the industry to solve chronic problems: dependence on foreign seeds, breeding stock and agrochemistry. The author concludes that under conditions of external pressure, the state was able to consolidate efforts and direct resources to create a sustainable, technologically independent model of agricultural development capable of not only providing the domestic market, but also strengthening Russia's export potential.

the aim of this article is to develop a model of a development company's digital ecosystem (DCDE), based on an ontological approach, which ensures variability, multitasking, and adaptability of management decisions. Methods: the research employs methods of ontological engineering, systems analysis, information systems architecture design, literature review, and business process modeling. Findings: the study presents an ontological model of a development company's digital ecosystem that enables knowledge formalization and management decision-making support under uncertainty. Knowledge and data structure formalization is proposed through ontological engineering methods, including defining classes, properties, and relationships between entities. Decision-making support is proposed based on the semantic analysis of the constructed ontology, which allows for identifying bottlenecks, generating alternative interaction scenarios for participants, and evaluating them against defined criteria. Conclusions: the developed ontological models and architectural components of the digital ecosystem, which include formalized participant roles, interaction scenarios, and evaluation mechanisms, not only help structure the current business processes of a development company but also create a foundation for adaptive management and strategic planning under uncertainty. This constitutes a significant contribution to the field of organizational design and the management of complex network structures, providing a toolkit for enhancing the coordination, transparency, and sustainability of development projects in the digital economy.

the relevance of this paper is the position of Belarus as a key country in the Central and Eastern European region, which in recent years has faced numerous challenges in the areas of foreign exchange reserve management, attracting foreign investment, and strengthening financial stability. It should be noted that the rational distribution of the reserve structure, including gold reserves, strengthening the country's financial stability, and the ability to control policy have become a top research priority requiring urgent attention. The aim of the study is to determine the maximum impact of determining factors on gold reserves using an empirical model, which will enable practical recommendations to be formulated for policymakers. In addition, this will increase the security of national reserves while complying with the principles of financial stability and external risk management. To achieve this aim, factors determining gold reserves are systematically analyzed based on data from Belarus for the period 2002-2023. The focus is on four key factors: 1) the volume of reserves forms the basis of the country's non-monetary capacity and overall economic security; 2) foreign direct investment reflects the degree of openness of the economy and the stability of capital inflows; 3) the share of social security and welfare expenditures in GDP reflects the structure of government budget expenditures and the focus on public welfare; 4) the net cash inflow from the operating activities of local authorities indicates the efficiency and liquidity of local fiscal operations. Based on the results of this study, the authors understand that examining the relationship between these variables and gold reserves using econometric analysis has revealed the logic behind Belarus' reserve policy, which can serve as a benchmark for other countries with developing market economies.

the research has developed a conceptual framework for the innovative development of the service sector, complemented by digital and social infrastructure elements. Based on the analysis of servitization and digital transformation, a model of the latter and a classification of its prerequisites, factors and results are proposed. The identified trends have allowed us to create a model of the impact of digitalization on innovation infrastructure. The author's methodology for assessing the state of infrastructure at the regional level and their classification by quartile has been developed. Taking into account the leading role of the human resource, a differentiated approach to setting development priorities is proposed. The result is a forecast and scenarios for the development of innovative infrastructure in the service sector.

modern processes of digital transformation have a significant impact on the development of national and global economic systems. One of the key phenomena determining the nature of these changes is digital platforms, which serve not only as a technological but also as an institutional foundation for the functioning of markets. Their expansion is accompanied by a radical restructuring of traditional models of competitive interaction, which highlights the need for a comprehensive analysis of this phenomenon. The article examines the specific features of digital platforms and their role in shaping a new model of market competition. It is emphasized that the distinctive characteristics of the platform economy include network effects, data concentration, and the formation of ecosystem linkages that ensure long-term user loyalty. A comparative analysis of traditional and platform-based market models was carried out, which made it possible to identify specific mechanisms of pricing, competitive strategies, and distribution of market power. The results of the study indicate that digital platforms simultaneously create opportunities for expanding market access for new participants and establish conditions for strengthening the dominance of large players, which in the long term may restrict competition and reduce the innovative potential of small companies. The necessity of adapting antitrust regulation and developing new institutional mechanisms capable of ensuring a balance of interests among business, government, and society under conditions of digitalization is underlined. The practical significance of the study lies in the possibility of applying its results in the development of state policies regulating the digital economy, as well as in designing strategies for corporate digital transformation. The theoretical value of the research consists in clarifying the specifics of modern competition and expanding the methodological framework for analyzing the platform economy.

aim: in this study, the interaction between fiscal policy, the quality of institutions and oil dependence in the formation of fair social costs, especially in rich oil and not related economies, is studied. The main goal is to study how the potential of public administration and fiscal structures affect the distribution of social resources in various economic contexts, paying special attention to oil countries, including Iraq, Russia and the OECR countries. Methods: using a bibliometric methodology, the study uses data from the SCOPUS database (2003–2021) and analytical tools such as Bibliometric and VosViewer, to identify thematic clusters, authors and coincidences of keywords. Independent variables include a fiscal policy, the quality of institutions and dependence on oil, while a dependent variable is the effectiveness of social expenses, measured with the help of indicators such as state investments in healthcare, education and social security. The results show that the quality of institutions is a key intermediary: the OECD countries with strong public administration and adaptive fiscal systems demonstrate stable and fair social investments, especially during periods of economic downturn. On the contrary, Iraq serves as an example of how institutional fragility and political instability undermine effective fiscal management, despite the abundance of resources. Russia reflects the complex heritage of the post -socialist transition period and moderate institutional structures. Bibliometric analysis additionally reveals changing trends in research and international cooperation, reflecting global concern for sustainable and inclusive development. Conclusions conclusions indicate that in order to ensure fair and long -term social investments, especially in resource -dependent countries, or politically unstable countries, it is necessary to strengthen the institutional base and diversification of budget revenues. Priority tasks for the state body should be regulatory reforms, increasing management efficiency and combating corruption in the budget and tax systems. This will allow more effectively directing state resources to key areas, such as healthcare, education.

existing methods for assessing the overall clustering index typically focus on the economic performance of individual enterprises within an industrial cluster. Therefore, there is a pressing need to develop innovative analytical tools tailored to the specifics of the industrial sector. These tools should ensure a high degree of accuracy, objectivity, and multidimensionality in assessing the synergistic effects arising from cluster activities. New approaches to measuring synergies should consider not only economic but also technological, social, and environmental aspects, providing a comprehensive understanding of the industrial cluster's contribution to regional and national economic development. For objective analysis, it is important to go beyond purely economic assessment and implement a multi-criteria approach encompassing qualitative and systemic-structural characteristics. The aim of the study is to develop the author's tools for assessing the general clustering index. Methods: the presented tool uses quantitative and qualitative methods of analysis. Findings: the proposed methodology allows us to go beyond purely economic assessment and implement a multi-criteria approach that encompasses qualitative and system-structural characteristics, such as innovation, social significance, and the infrastructural development of the cluster. Conclusions: the developed general clustering index assessment scale allows not only to quantify the current level of cluster development but also to identify problem areas requiring targeted intervention. Regular use of the general clustering index scale allows for tracking the dynamics of key cluster indicators, analyzing the results of implementing new strategies and initiatives, and promptly adjusting management measures in response to changes in the external and internal environment.

the purpose of this article is to summarize and systematize the socioeconomic effects of implementing digital and innovative technologies at industrial enterprises today. To achieve this goal, the following objectives were set: analyze current literature and best practices in industrial digital transformation; classify the identified effects into broad groups (cost reduction, revenue growth, externalities); and characterize each group of effects with specific examples. Methods: The study utilized content analysis of scientific publications, as well as comparative and systems approaches. Results: Three groups of effects were identified based on their primary impact: cost reduction, revenue growth, and multiplier (external) effects. The first group includes the results of technology implementation that lead to cost reductions for enterprises (process and resource optimization, reduced losses and downtime, etc.). The second group includes effects that increase revenue (better demand satisfaction, improved quality and product customization, etc.). The third group encompasses broader economic and societal impacts (growth of related markets, increased productivity and employment, improved environmental sustainability, etc.). Conclusions: The study concludes that industrial digitalization is highly significant for improving efficiency and competitiveness, and identifies promising areas for further research in this area.

this article examines the problem statement and mathematical model for selecting the optimal set of expansion and modernization projects for the primary process equipment in the primary production shops of a multi-product serial enterprise across groups of so-called "key" assets, the production capacity of which limits the volume of output. The criterion is the overall effectiveness of the projects accepted for implementation, assessed by the increase in production potential in groups of key fixed assets. The model's constraints, along with financial and resource constraints, include, in a formal mathematical expression, constraints defining the relationship between two or more projects in terms of implementation objects, timing, and funding volumes. The resulting problem is represented by a discrete nonlinear model that can be expanded by incorporating an additional option related to the selection of the optimal capital structure financing the projects selected for the optimal investment program.

in the context of global geo-economic transformations, the regional economy of Russia faces new challenges and opportunities. Changes in the structure of world trade flows, the development of transport and logistics corridors, and the strengthening of border regions determine new priorities for spatial development. The paper provides a comprehensive analysis of the impact of geo-economic changes on regional dynamics, identifies key spatial factors, and outlines strategic directions for sustainable growth. The practical significance of the research lies in substantiating regional policy priorities aimed at reducing disparities and forming sustainable centers of economic activity.

the aim of this study is to analyze the strategic role of intellectual property in the innovative development of digital high-tech products in the Moscow region from 2020 to 2025. The research methodological framework includes a comprehensive analysis of statistical data, content analysis of regulatory legal acts, expert interviews, and case studies of leading technology companies in the region. The author's key findings demonstrate a significant strengthening of the role of intellectual property as a driver of innovative development, with the number of patent applications filed in digital technology increasing by 187% during the study period. It has been established that an effective intellectual property management system contributes to a 34% increase in enterprise innovation activity and a 42% increase in technology commercialization. The study's findings confirm the critical importance of developing a comprehensive intellectual property ecosystem to ensure the region's technological leadership in the context of the digital transformation of the economy.

the aim of the research is to develop an algorithm for optimizing the allocation of financial resources between the support of existing IT services and the development of new solutions in technology companies. This problem is particularly relevant in the context of accelerating digital transformation and the need for strategic flexibility. Methods: comparative analysis, mathematical and simulation modeling, target programming methods, as well as expert validation of resource allocation scenarios, which allows taking into account both quantitative and qualitative performance indicators, are used as methods in the presented study. Findings: The study presents models that identify the imbalance between financing support and innovative development, take into account SLA and ROI indicators, and predict the effects of budget redistribution in the short and long term. The developed algorithm demonstrates the potential to reduce support costs while maintaining the reliability of services and simultaneously accelerating innovation growth, which is confirmed by simulation scenarios and expert assessment. Conclusions: the proposed approach to optimizing the IT budget provides a quantitative justification for the balance between current operations and development investments. This approach allows companies to build a sustainable development trajectory, increase the efficiency of resource provision and strengthen competitiveness in the global digital market.

purpose: the study aims to analyze the impact of different types of architectural solutions on personnel productivity and innovative activity at industrial enterprises within the modern Russian economy. Special focus is placed on developing a tool for predicting the consequences of organizational changes prior to their implementation. Methods. The methodology is based on a systems approach and agent-based modeling (ABM), which allows for the analysis of emergent behavior in organizational systems. A simulation model was developed, accounting for individual employee characteristics (role, social activity, need for focus) and environmental parameters (architecture type, noise level, illumination). The model was implemented for three types of industrial enterprises in Nizhny Novgorod with different personnel structures and production processes. Results. Hybrid environments (combining open and isolated zones) were found to be the most effective, ensuring 105% plan fulfillment and increasing innovative activity by 25-30%. A system of quantitative indicators and formulas for integration into the ABM was developed. Conclusions. The necessity of a differentiated approach to designing architectural solutions in industry is proven. The agent-based model allows for the optimization of work environments before their physical implementation, minimizing the risks of organizational changes. The practical significance of the work is confirmed by the calculated economic effect of implementing the proposed solutions for industrial enterprises in the region.

the purpose of this study is to identify the features of the transformation of corporate architectures during the transition from an ecosystem model to a business capability approach, and it was also necessary to determine the role of digital maturity and new information technologies in this process. Methods: comparative analysis of cases of companies from the financial, oil and gas sector, retail and public sector organizations, expert interviews with various IT specialists, cumulative data from analytical reports of consulting companies and materials from specialized scientific research are presented. Results: the article highlights the main stages of the development of corporate architecture and describes its key concepts – Architecture as Code, cloud computing, composite architecture, and others. Expert interviews have shown the diversity and originality of specialists' views on the future of corporate architecture. Conclusions: the transition from a business ecosystem to a functional approach is a prerequisite for achieving digital maturity and sustainability of organizations in a VUCA/BANI environment.

the purpose of the study is to identify promising areas of transformation of sanatoriums' business processes through the introduction of artificial intelligence tools. Methods: The methodological basis of the research was logical analysis, a systematic approach and synthesis; content analysis of open sources of information on the problems of improving organizational systems using artificial intelligence, analysis of trends and trends in the development of AI in the hospitality and medicine sectors was used. The empirical material is provided by the practical initiatives of a number of leading health resorts that are actively implementing AI-based solutions to increase the efficiency of their activities and improve the quality of services provided. The algorithmization method is used to summarize the results. Findings: the role and importance of modern information technologies, especially artificial intelligence (AI), in the transformation of the traditional format of sanatoriums is investigated. The key aspects of modernization of management and service processes that determine the strategic development of organizations in the new technological reality are considered. The business processes of sanatoriums as combined organizations combining tasks in the field of hospitality and in the field of health care are considered. The "Algorithm of the organizational mechanism for the introduction of artificial intelligence tools in sanatorium-resort organizations" is proposed, reflecting the organizational mechanism for the implementation of the stages of the introduction of artificial intelligence tools. Conclusions: The integration of artificial intelligence into the activities of sanatorium-resort organizations is an inevitable trend of our time. Properly selected and configured technologies increase the comfort of guests' stay, reduce costs and improve the brand's reputation. Research has shown that AI significantly influences consumer preferences and health, contributing to personalized marketing, health promotion, and sustainable development.

the purpose of the study is to analyze the impact of the Bank of Russia's monetary policy on the economy of the Irkutsk Region and to make possible forecasts of the behavior of the monetary policy of the Irkutsk Region. Methods: Statistical data for the period from 2003 to 2023, taken from the statistical portals of the Irkutsk Region [1], are used. The data is analyzed using stationary time series and an autoregressive model calculated in the Gretl package [2]. Findings: the analysis of the increased refinancing rate makes it possible to predict a decrease in inflation and, as a result, confirms the reliability and effectiveness of monetary policy in the region, taking into account the gross regional product, which is affected by the high needs of the raw materials industries in the Irkutsk region. Conclusions: the study has produced results that can be used to adjust the monetary policy forecasts for the Irkutsk region, as well as to take adaptive measures to address any issues that may arise.

the purpose of the work is to determine the directions of development of the legal regulation of corporate social responsibility, taking into account the transformation of the regulatory framework under the influence of the digital economy. Results: The article examines the conceptual and practical aspects of the formation of the legal infrastructure of socially responsible business in the context of the digitalization of the regulatory environment. The study identifies the main elements of the legal infrastructure of socially responsible business, analyzes the impact of digital transformation on corporate social responsibility, and draws conclusions about the necessary measures to adapt the law to new conditions. It is shown that digitalization creates both new opportunities for increasing transparency and effectiveness of corporate social responsibility, as well as new problems related to the protection of the rights and interests of participants in digital relations. Conclusions: the formation of a modern legal infrastructure of corporate social responsibility in the digital environment requires comprehensive efforts on the part of the state, business and society, including the development of special regulations, the integration of the principles of sustainable development and ESG standards into the legal system, the introduction of mechanisms of corporate digital responsibility.

this article provides a theorydriven review of Everett M. Rogers’s Diffusion of Innovations (DOI), tracing its genesis, evolution and contemporary interpretations for innovation economics and policy at sectoral and regional levels. Building on DOI’s core constructs (adopter categories; innovation attributes – relative advantage, compatibility, complexity, trialability, observability; stages of adoption; communication channels and opinion leadership), we show the shift from linear and chainlinked models to systems/network perspectives that incorporate collective behavior, network externalities, standards and critical mass. The limits of applicability of the theory of innovation diffusion are clarified, and current trajectories for its development are outlined: analysis of digital platforms and media innovations, network forms of interaction within and between organizations, as well as the integration of DOIs with technology adoption models and arrays of scientific and bibliometric data. Policy implications include targeting adopter segments, designing communication architectures, and reducing uncertainty in sectoral clusters and regional ecosystems. The contribution is a synthesized systems/network framework aligning DOI mechanisms with contemporary digital and organizational contexts.

the article examines the transformation of the innovation environment in the context of digitalization and the new economic era. Based on the analysis of domestic research, the author identifies the key characteristics of the innovation economy, the components of the innovation environment and the impact of digital technologies and processes on its structure. The article presents industry trends in the digital transformation of industry and three conceptual approaches to building and developing a digital innovation ecosystem, and suggests a multi-level structure of the digital innovation environment, including four basic components. Methods: the following methods were used in the article: analytical review and synthesis of theoretical developments, systematization and comparison of research, analysis of the conceptual framework, statistical review of the dynamics of innovation activity of enterprises of the Russian Federation for the period 2010-2024, interpretation of empirical data of official statistics. Results: the article formulates the key characteristics of the innovation economy; identifies internal (human resources, financial resources, organizational structure and corporate culture) and external (political, economic, social, technological) factors of the innovation environment; highlights global trends in the digital transformation of industry; describes the key components of the digital innovation environment; classifies three conceptual approaches to the concept and essence of digital an innovative environment; the author's concept is proposed in the form of a multilevel dynamic system. Conclusions: the article determines that the digitalization of the economy is transforming the structure and content of the innovation environment, requiring updated theoretical and methodological approaches and new evaluation criteria. The author emphasizes that for the effective construction of a digital innovation environment, a comprehensive integration of technology, data, infrastructure and human capital is necessary to create conditions that stimulate the generation and implementation of innovations.

the purpose of the study is to analyze the trends of digital transformation in the field of electronic commerce (e-commerce) and identify the underlying factors determining the effectiveness of digital change in the context of global competition. The article summarizes the results of the analysis of modern research in the field of digital business transformation in the e-commerce sector, reveals key trends and strategic guidelines for the digital development of enterprises. Methods: the research uses methods of systematic and comparative analysis, content analysis of scientific publications and analytical reports on digital transformation in the field of e-commerce, as well as a case study based on examples of successful digital transformations of Russian and foreign companies. The method of structural and functional modeling is used to identify the interrelationships between technological, organizational and economic aspects of business digitalization. The theoretical and methodological basis was formed by the concepts of the digital economy, platform ecosystems, as well as modern approaches to project management and innovation in a digital environment. Results: the analysis made it possible to identify key areas of digital transformation in e-commerce: the development of omnichannel strategies, the integration of artificial intelligence and big data technologies, the introduction of generative AI tools, the formation of sustainable (ESG-oriented) business models, as well as strengthening the role of platform ecosystems and cybersecurity systems. It has been established that digitalization contributes to the growth of operational efficiency and competitiveness of enterprises, reducing transaction costs and improving customer experience. The risks of digital transformation have been identified, such as technological inequality between large and small enterprises, staff shortages, and resistance to changes in corporate culture. Based on the analysis of forecast data, trends in the future development of e-commerce are highlighted: the expansion of international marketplaces, the introduction of autonomous logistics, the use of sustainable business models and increased regulatory requirements in the field of digital transparency. Conclusions: The study confirmed that digital transformation in the field of e-commerce is an integral element of modern strategic management, ensuring the transition from traditional business models to adaptive digital ecosystems. Digital technologies – artificial intelligence, data analytics, automation, omnichannel solutions – form the basis of a new management paradigm that increases the sustainability and innovation potential of a business. At the same time, the successful implementation of digital strategies requires a systematic approach, including the revision of management methodologies, the development of digital competencies of personnel and the formation of an organizational culture open to change. Digital transformation should be considered not as a technological project, but as a long-term development strategy aimed at creating an intelligent, sustainable and competitive business environment.

in the context of global digital transformation, which is shifting the focus of competition from individual firms to networks, the design of digital business ecosystems is becoming a key challenge. The aim of this paper is to develop a conceptual framework for the typology and design of digital business ecosystems, which can serve as both an analytical tool for researchers and a practical guide for managers. This paper presents a multidimensional typology of digital business ecosystems based on key design parameters such as governance model, degree of openness, and the dominant logic of value creation. Based on this classification, a system of interconnected principles and design elements is formulated, encompassing platform design, defining participant roles, and developing interaction mechanisms. Case studies of leading global digital business ecosystems reveal successful strategies and draw practical lessons. A specific toolkit is presented for companies seeking to create and develop their own business ecosystems to achieve sustainable competitive advantage.

this study focuses on developing a system of indicators for assessing and managing the resource boundaries of airport business processes. Methods: Mathematical modeling, expert assessment, and a Pareto diagram are used to identify key indicators characterizing the state of resources, performance results, and the relationships between them. Findings: Key factors influencing operational efficiency and service quality for passengers and airlines are identified. The resource boundaries and outputs of airport business processes are described with the aim of improving the infrastructure component. The description of resource boundaries and outputs of airport business processes is prepared for the purpose of further development of a methodological approach to managing their development. Conclusions: The principles have been proposed, a scheme for forming a package of tasks for the development of airport infrastructure has been developed, and directions for its development have been outlined.

today, Russian companies face unreasonable restrictions in foreign economic activity, while the main partners are also subject to the risks of secondary sanctions. In this situation, the development of automated systems is an important step towards reducing losses from ineffective management decisions. Incomplete or late information inevitably leads to errors, thereby threatening overflowing warehouse space, increased load on transport and people, disruption of delivery times and, in general, disruption of a pre-planned supply chain. The quality of management decisions and further economic efficiency strongly depend on the completeness and efficiency of the available information. The idea of the proposed automaton a sophisticated system for developing and making management decisions is to optimize the available resources, which will make it possible to more quickly manage the foreign economic activity of the enterprise. The purpose of the study is to develop a scheme of the information system of the enterprise in the foreign economic activity of the enterprise. Methods: design of information processes and control system, system analysis. Findings: shows the processes taking place in the information subsystems of foreign economic activity, an example of the algorithm of management decisions, as well as internal and external processes of foreign economic activity operators. Conclusions: An information system of an enterprise of foreign economic activity has been formed, taking into account social, economic and organizational efficiency.