Aim. Based on an analysis of corporate reporting by Russian information and communication technology (ICT) companies, to propose a toolkit for assessing the effectiveness of social digital projects that accounts for the specific characteristics of digital forms of social activity. Objectives. To identify the specific characteristics of social digital projects as an object of corporate social responsibility assessment; to analyze the disclosure practices regarding social impact in the corporate reporting of the largest Russian ICT companies; to examine the proposed toolkit for assessing the effectiveness of the projects under study. Methods. We employed general scientific methods of inquiry (analysis, synthesis, and systems approach). The empirical basis consisted of an analysis of the reporting of five leading Russian ICT companies (Yandex, VK, MTS, Rostelecom, and Sber) for 2022–2025. Results. The study identifies four mechanisms for generating social impact in digital projects: scalability at minimal additional cost, the networked nature of value creation, the integration of social functions into the company’s business ecosystem, and deferred social effect. Using a diagnostic matrix, the study demonstrates that the reporting of the companies examined is dominated by reach indicators, while intermediate results, long-term impact, and calculation methodologies are disclosed to a limited extent. A two-level framework for assessing the effectiveness of social digital projects is proposed: the diagnostic level is intended to identify gaps in reporting, while the regulatory-methodological level includes three indicators (scalability coefficient, structuredness of the social impact metric system, and effect attribution coefficient) for quantifying social impact when detailed corporate data are available. Conclusions. The scientific novelty of the study lies in revealing the specific characteristics of social digital projects as an object of assessment within the corporate social responsibility system and in developing a two-level framework for their analysis that accounts for the specific features of social impact generation in the digital environment. The practical significance of the work is determined by the possibility of applying the proposed framework by sustainability department managers to identify gaps in corporate reporting, compare the quality of data disclosure, and justify the further development of the assessment system for social digital initiatives.
Aim. To examine the institutional aspects of quality management of scientific and technical products (STP) in the system of regional support for scientific and technological development. Objectives. To clarify the conceptual boundaries of scientific result, scientific and technical activity, and scientific and technical products; to identify the quality characteristics of STP that are significant for regional governance; to demonstrate the potential of applying expert multi-criteria assessment and the “digital portrait” tool for awards in calibrating support measures for scientific and technical outcomes. Methods. Using materials from St. Petersburg, the study analyzes the institutional environment for supporting leading scientific and academic-pedagogical schools and identifies the problem of underrepresentation of scientific and production organizations in existing mechanisms of recognition and incentives. Results. The study substantiates the consideration of STP quality through a set of characteristics of effectiveness, timeliness, and resource intensity of its potential application as a methodological approach. It is clarified that these characteristics should be applied to the applied segment of scientific and technical activity, where the outcome can be correlated with a specific task, consumer, timeline, and resources. Additionally, the use of the “digital portrait” of an award is substantiated as a tool for comparing award programs and increasing the targeting of managerial decisions in the field of support for scientific and technical outcomes. Conclusions. The development of regional mechanisms for expert assessment, awards, and institutional coordination can contribute to strengthening the scientific and technological potential of a constituent entity of Russia and to making a contribution to achieving national technological development goals. It is shown that such mechanisms should take into account not only publication metrics but also the applied suitability of STP, its feasibility, resource intensity, and the expected effect of its application.
Aim. To conduct an empirical analysis of generational specificity in the structure of emotional intelligence and professional burnout among local government employees. Objectives. To measure the levels of emotional intelligence and burnout using validated instruments; to perform a generational breakdown by their components; to statistically verify the relationships as applied to age groups; to identify practical implications for personnel management. Methods. The study was conducted in September 2025 using a complete enumeration survey of 38 employees of the Civil Registry Offices (ZAGS) of Kazan. Emotional intelligence was measured using N. Hall’s questionnaire, and burnout was measured using C. Maslach’s Burnout Inventory (MBI). Statistical processing included the Pearson correlation coefficient and factor analysis within the framework of N. Howe and W. Strauss’s generational theory. Results. An average or high level of emotional intelligence was found in 71% of employees, a low level of burnout in 61%, and among managers in 80%. A negative correlation was identified between emotional intelligence and professional burnout across the sample ( r = –0,36), most pronounced on the depersonalization scale. At the same time, for Generation Y, the relationship proved to be significantly stronger ( r = –0,55) than for Generation X ( r = –0,22). Conclusions. Emotional intelligence serves as an intangible organizational resource that reduces the risk of professional burnout. However, the nature of this relationship is also determined by generational affiliation: for Generation X, emotional intelligence protects against psychoemotional exhaustion; for Generation Y, against depersonalization and the loss of a meaningful attitude toward working with citizens. The identified patterns are cross-sectoral in nature, which allows for recommending the integration of differentiated, generationally oriented emotional intelligence development programs into the corporate training systems and personnel policies of both public and commercial organizations.
Aim. To systematize the financial-economic, infrastructural, and information-cooperation tools for developing the limitrophe potential of Russian border regions. Objectives. To classify development tools by the nature of their impact; to identify the specific features of tool application in different types of border regions; to determine the dependence of tool effectiveness on the quality of the institutional environment; and to propose directions for improving the instrumental framework. Methods. The study is based on a systems approach, comparative analysis, and classification. Case study methods were applied to examine a range of tools in six types of border regions (from the Far East to the Arctic), along with elements of institutional analysis. Results. Three groups of tools are identified: financial-economic (tax incentives, subsidies, preferential financing), infrastructural (transport corridors, public-private partnership projects, logistics hubs), and soft tools (digital platforms, educational exchanges). Targeted tools aimed at removing barriers (certification, “last mile” logistics) are most effective when combined with special economic regimes. The findings reveal the key role of institutions as the foundation determining the success of these tools. Conclusion. The current system of tools is characterized by institutional fragmentation and the absence of a unified center of responsibility. To realize the limitrophe potential, a transition from universal solutions to a flexible, adaptive system is needed—one that synchronizes “hard” and “soft” tools with the real needs of border communities and the specific characteristics of each type of border.
Aim . The work aimed to explore the role of reputation mechanisms in reducing information asymmetry on e-commerce platforms and assess their impact on seller incentives and social welfare. Objectives . The work seeks to construct a theoretical model of interactions between sellers and buyers under conditions of information asymmetry; to elucidate the influence of the reputation mechanism on the strategies of sellers of goods of varying quality; to identify the conditions under which reputation acts as a disciplining factor in reducing information asymmetry and improves social welfare; to test empirically the effectiveness of reputation signals using marketplaces as an example. Methods. This article presents a two-period theoretical model with incomplete information, where sellers differ in the quality of the goods they sell. The analysis was conducted using microeconomic modeling tools. The empirical part is based on an econometric analysis of data from the Wildberries and Ozon marketplaces for 2025. Results. Theoretical analysis showed that the threat of losing future profits due to a degraded rating can alter the incentives of sellers of low-quality goods and limit their propensity to engage in dishonest behavior. The reputation mechanism improves social welfare by reducing the damage caused by fraud and increasing the share of honest transactions, while its effect increases with increase in the share of sellers of low-quality goods in the market. Empirical results confirm that reputational indicators are associated with sales volume in most specifications. This indicates the effectiveness of ratings as an economically significant signal of quality even in categories with high initial information asymmetry. Conclusions. Reputation mechanisms on e-commerce platforms serve a dual function. They serve as an informational signal for buyers and simultaneously create a system of long-term incentives for sellers. The combination of theoretical and empirical analysis shows that ratings can reduce information asymmetry and increase the resilience of digital markets even in categories with high initial asymmetry.
Aim. This work aimed to propose a concept for an improved model for monitoring the socioeconomic development of St. Petersburg based on innovative tools. Objectives . The work seeks to conduct a critical analysis of existing methods and systems for monitoring the socioeconomic processes while simultaneously identifying their limitations in the context of the management needs of a large multifunctional city; to substantiate the architecture and functionality of digital tools (including big data analysis, IoT, and GIS) integrated into the monitoring system to increase its relevance, efficiency, and predictive potential; and to propose an improved model for monitoring the socioeconomic development of St. Petersburg based on innovative tools. Methods. We employed a systems and interdisciplinary approach, including comparative analysis, regulatory and institutional analysis, conceptual modeling, a case study method (using St. Petersburg as an example), secondary data analysis, and information system design. Results. The work identified systemic limitations of St. Petersburg monitoring, namely departmental data incoherence, high lag time for indicators (two to five months, only 41,7 % of monthly data), and a lack of operational analytics tools. A digital platform architecture was developed, including a Unified City Data Lake for consolidating departmental statistics, IoT, GIS, and digital traces, as well as an analytical module using machine learning for forecasting, and a system of hierarchical dashboards for different management levels. Unlike existing developments, the proposed model is supplemented with an organizational and institutional framework, where the need to introduce a CDO position, to adapt regional legislation for working with anonymized data, and to retrain personnel are substantiated. Conclusions . A holistic model for monitoring the metropolis is proposed based on a synthesis of data science, smart city principles, and strategic management. The novelty consists in the adaptation of platform solutions to the specifics of a Russian metropolis (legislative restrictions, departmental structure), which bridges the gap between economic theory and applied IT developments. The principles of regional governance theory have been developed, and monitoring effectiveness has been proven to depend on the integration of technological, institutional, and personnel components into a single management cycle. The model provides the basis for modernizing the analytical support of the Government of St. Petersburg, reducing the response time to management situations from two to three months to real-time and transferring from recognizing the past to risk forecasting. Technological modernization is insufficient, since success depends on the transformation of management culture, regional standards of data handling, and the digital competencies of civil servants. The platform will remain unused without this.
The article argues the relevance and necessity of studying the development of the IT sector as one of the key sectors of the Ukrainian economy. The significance and advantages of the IT sector are substantiated. An analysis of recent scientific works on this issue has shown the need for further scientific research into the determinants, trends and prospects for the development of the IT industry of Ukraine in difficult war conditions. The aim of the article is to develop scientific and methodological approaches to forecasting trends and prospects for the development of the IT industry of Ukraine. The article examines the development trends of the Ukrainian IT industry in the context of war and global economic challenges. The main ones are: digital transformation, development of the technological ecosystem, increasing the strategic role in the European digital space, synergy between leading technology companies and a new generation of startups. The characteristics of the Ukrainian IT sector, the main reasons and factors that influenced changes during the analyzed period are determined. The forecast of the development indicators of the Ukrainian IT industry for the period until 2027 is made, taking into account statistical data for previous years, as well as growth dynamics based on global trends in the IT sector. Forecasting the export indicators of IT services in the export of goods and services showed a tendency to further growth, taking into account stable demand and potential for growth provided that the economic situation improves. The forecast of the number of operating legal entities providing IT services also showed a tendency to growth. The dynamics of indicators of access and use of information and communication technologies is positive and indicates an increase in these indicators. It was established that the Ukrainian IT market has significant prospects for investments by international business. Based on the results obtained, the predicted trends in the development of the IT industry in Ukraine are characterized. The practical significance of the results obtained lies in the possibility of determining the prospects for the growth of the IT industry in Ukraine by developing an appropriate strategy for its development, taking into account the instability of the economic situation in the country.
The article systematizes scientific approaches to the multidimensional structure of a brand, which encompasses four interrelated dimensions: identity, external perception by target audiences, the depth of emotional connection with the consumer, and value, which pertains to the financial results of managing the previous dimensions. The three-level architecture of an integrated brand management strategy, which operates at the corporate, product, and communication levels, each with a specific management focus and key objectives, is analyzed. Innovative trends that determine the development of modern branding are investigated. It is revealed that artificial intelligence acts as a key driver of transformation, with the trend towards AI adoption gaining relevance for the vast majority of actors in modern markets. The main directions for applying artificial intelligence in brand management are identified: market research and analytics, content creation, and product personalization. The potential of neuromarketing as a tool for measuring consumers' subconscious reactions through indicators of attention, engagement, and persuasion is disclosed. It is established that real interactions with a brand have a greater influence on shaping consumer choice than advertising messages. An author's model for forming an integrated brand management strategy based on the integration of "3C+" elements is proposed. The model represents a cyclical process that includes: the brand core, the strategic level of building brand architecture, designing customer experience using artificial intelligence tools, integrating communications through omnichannel platforms, measuring value through a combination of neurometric indicators and traditional brand equity monitoring, as well as real-time strategy optimization. Based on an in-depth analysis of case studies of leading companies, a practical toolkit for auditing an integrated brand management strategy and an algorithm for anti-crisis strategy adaptation have been developed. An algorithm for adapting an integrated brand management strategy in crisis conditions is proposed, which includes six sequential stages: diagnostics, reprioritization, communication adaptation, mobilization of internal resources, real-time monitoring, and strategy adjustment.
Aim. This work aimed to conduct a comprehensive quantitative analysis of geoeconomic fragmentation processes as a key structural trend in the contemporary global economy and assess its impact on the transformation of international economic relations, trade and investment f lows, and the formation of a new architecture of global economic interactions. Objectives . The work seeks to analyze the dynamics of geopolitical risk indices, trade and fiscal uncertainty; assess changes in the trade openness coefficient of the global economy; study the scale and direction of protectionist measures of leading countries; identify the impact of US tariff policy on the global trade architecture; demonstrate the transformation of approaches to supply chain management (reshoring, friendshoring, nearshoring); assess structural shifts in bilateral trade relations and the dynamics of trade within and between geopolitical blocs; reveal the impact of fragmentation on foreign direct investment flows and the international financial architecture; as well as to systematize key fragmentation indicators and construct a general index reflecting its dynamics across key areas. Methods . The study employed a combination of economic and statistical analysis methods, including time series analysis, calculation of relative indicators, comparative analysis, and index assessment. The information base included data from international organizations (International Monetary Fund, World Bank, World Trade Organization, United Nations Conference on Trade and Development), specialized databases (Global Trade Alert, UN Comtrade, Geopolitical Fragmentation Index), as well as analytical materials from national statistical services and research centers. Results . Geoeconomic fragmentation has been established to be a persistent structural trend, manifested across a wide range of indicators, where geopolitical risk and trade uncertainty indices have reached historical highs, the trade openness coefficient has shown a steady decline since its 2022 peak, the number of protectionist measures is more than three times higher than liberalizing ones, and the average weighted import rate in the United States has reached its highest value since 1943. Friendshoring is found to be growing faster than nearshoring, confirming the priority of geopolitical factors over economic ones. A systemic redistribution of global trade f lows is registered, manifested in the strengthening of new strategic alliances and the weakening of historically established ties. Trade volumes within geopolitical blocs are shown to be growing at a faster rate than inter-bloc trade. A reduction in global foreign direct investment flows, their reorientation toward politically proximate jurisdictions, and an unprecedented expansion of sanctions regimes are also detected. A general fragmentation index has been constructed, which dynamics indicate a transition from a phase of stable globalization (1990–2000) to a phase of accelerated fragmentation after 2022. Political fragmentation, however, demonstrates the most pronounced growth. Conclusions . Geoeconomic fragmentation is a politically motivated, multidimensional process encompassing trade, finance, migration, and political spheres, leading to the formation of a polycentric global economic architecture with the consolidation of blocs around key centers of power. The long-term consequences of fragmentation are systemically recurrent destructive in nature and could lead to a 7 % reduction in real global gross domestic product by 2040. At the same time, fragmentation stimulates the deepening of integration processes within associations which become natural “safe havens” for participants, defining the contours of a new model of global economic relations based on strategic autonomy.
The article examines the theoretical and methodological foundations for the formation of strategic guidelines for the marketing product policy of an agricultural enterprise in the context of the development of the fruit and berry market in Ukraine. It is substantiated that the fruit and berry market is an important component of the national agri-food system, the development of which is determined by the spatial differentiation of production, changes in the structure of consumer demand, increasing competition from imported products, and the transformation of supply chain logistics. It has been established that the current functioning of the market is characterized by significant challenges caused by martial law, damage to infrastructure, and rising costs of production and transportation, which affect the availability of fruits and berries for the population and the competitiveness of domestic producers. The study reveals the specific features of supply and demand formation in the fruit and berry market and identifies the key factors influencing its development, including the income level of the population, the development of logistics infrastructure, natural and climatic conditions of production, and the import dependence of certain market segments. The structure of the fruit and berry market in Ukraine is analyzed, which indicates the dominance of imported products, while highlighting the potential for the development of domestic production of apples, berries, and other fruit and berry crops. It is substantiated that an effective marketing product policy of agricultural enterprises should be based on adapting the product assortment to consumer needs, developing competitive advantages of products, improving their quality, and creating added value. The study determines that key strategic directions include diversification of the product assortment, development of fruit and berry processing, improvement of logistics processes, and expansion of marketing channels. It is concluded that the formation of a strategically oriented marketing product policy of agricultural enterprises will contribute to increasing the competitiveness of domestic fruit and berry products, reducing the dependence of the domestic market on imports, and ensuring a more balanced development of the fruit and berry market in Ukraine under current socio-economic challenges.
Aim. This work aimed to obtain analytical estimates of payment flows in lending under conditions of volatility of the key rate and to formalize the conditions for mutually beneficial lending terms for the borrower and lender. Objectives. The work seeks to estimate the present value of payment flows paid by the borrower and received by the lender; to formalize the conditions for the profitability of lending for the borrower and lender; to consider the impact of the key rate on the present value of the borrower’s payment flows to the lender and the change in the borrower’s return on equity; to formalize the conditions for the decline and increase of the borrower’s payment flows to the lender. Methods . The study was conducted using a systems approach, as well as comparative, logical, and mathematical analysis, time series analysis, tabular structuring of results, and a methodology for accounting for the time factor based on discounted cash flows. The author also used Bank of Russia forecasts on expected key rate changes and scientific research on the impact of inflation and the key rate on financial markets, published in leading peer-reviewed journals. Results . Estimates of the present value of the payment streams paid by the borrower and received by the lender bank are obtained, along with analytical expressions defining the conditions for the profitability of lending for the borrower and lender bank. Quantitative conditions for the mutual benefit of credit terms for the corporate borrower and lender are formalized. The impact of the key interest rate on the present value of the borrower’s payment flows to the lender and the change in the borrower’s return on equity are assessed, and conditions for the decline and increase of the borrower’s payment flow, adjusted for inflation, are presented. Conclusions. The present value of the borrower’s payment flow to the lender is determined by the principal amount of the debt, the ratio of the loan and deposit interest rates, the bank deposit rate dependent on the key rate, the length of the loan period, and the income tax rate. The article presents a range of loan interest rates at which the present value of the payment flow of a corporate borrower operating under the basic tax system and paying income tax is less than the principal amount of the debt, and the present value of the payment flow received by the lender is greater than this amount. A change in the key rate, while the ratio of loan and deposit interest rates remains constant, affects the relative change in the borrower’s payment flow to the lender and is determined by the analytical relationship obtained in the study. An increase in the key rate, depending on the ratio of loan and deposit interest rates, can lead to either an increase or a decrease in the relative change, the latter being more dependent on the relative change in the ratio of loan and deposit interest rates than on the relative change in the key rate. The absolute value of the relative change in the financial leverage effect, which determines the absolute change in the borrower’s return on equity due to the attraction and use of borrowed capital, is directly proportional to the product of the tax adjuster and the leverage ratio and decreases with increasing income tax and decreasing leverage
Aim . To develop and test mathematical models of an enterprise’s information flows to improve management efficiency in the context of digital transformation. Objectives . To develop a classification of information flows; to conduct simulation modeling of the dynamics of information exchange to identify critical factors affecting system performance. Methods. The methodological basis of the study consisted of comprehensive systems analysis, the use of data flow diagrams (DFDs) to visualize the logic of information movement, and ontological modeling for dynamic access rights management. The technical part of the study is based on conducting a full threefactor experiment and statistical data processing in the Minitab software environment. Results . The author proposes a classification of information flows according to four criteria: directionality, formalization, periodicity, and security. During the simulation of server node operation (sample of 12,500 transactions), an adequate regression model of response time was obtained. It was established that the greatest influence on system stability is exerted by flow intensity ( Х 1 = 2,450), while channel expansion ( Х 3 = −1.875) serves as the most effective way to compensate for delays. A regression model was constructed showing the dependence of system response time on the intensity of incoming requests, the complexity of data processing, and the bandwidth of communication channels. The experiment revealed a synergistic effect of factor interaction, indicating a nonlinear increase in time delays with the simultaneous increase in task complexity and network load. Conclusion. The study confirms the need for enterprises to transition to a microservices architecture and implement intelligent data routing algorithms. The practical implementation of the proposed approaches makes it possible to minimize information redundancy, ensure the scalability of digital flows, and increase overall controllability of the entity by 20–30 % in various economic sectors. The scientific novelty lies in formalizing the relationship between the technical parameters of information exchange and the financial indicators of an enterprise. For the first time, it is proposed to use a margin reduction function to assess the impact of data transmission delays on profitability in industrial automation.
The article examines the transformative role of global standardization and international certification within the strategic management system of modern companies. It is substantiated that under contemporary conditions, traditional competitiveness factors are being superseded by a business's ability to integrate into global ecosystems through uniform standards of quality and trust. Standardization is viewed not merely as a technical regulation but as a strategic asset that enables the scaling of processes, mitigation of operational risks, and assurance of consistent product quality worldwide. Particular attention is paid to the challenges of implementing unified requirements. Critical barriers are identified, including the tension between global unification and local market adaptation, regulatory protectionism of national governments, and the technological divide that limits the capacity of subsidiaries in developing countries. The study emphasizes the rapid obsolescence of official ISO norms due to the swift advancement of artificial intelligence, necessitating the development of proactive corporate standards. The author demonstrates that certification serves as a mechanism for the practical verification of reputational capital. The distinction between mandatory certification as a «license to operate» and voluntary certification as a strategic marketing tool is revealed. Furthermore, the article outlines eight fundamental principles of quality management that form a self-regulating system of continuous improvement ranging from customer focus and evidence-based decision-making to the establishment of mutually beneficial supplier relationships. A significant focus is placed on the integration of ESG criteria and sustainability principles into corporate strategies, which serve as key markers of legitimacy in developed markets. The study concludes that transitioning from price-based rivalry to competition based on quality, ethics, and technological excellence is the primary pathway to long-term success. Consequently, for international companies, alignment with international standards remains a strategic imperative for enhancing global competitiveness.
In the context of an increasingly dynamic economic environment, the digitalization of business processes, and growing uncertainty, traditional operations management models are gradually losing their universality. This creates a need for new management approaches that ensure flexibility, adaptability, and the ability to respond quickly to environmental changes. One key trend in modern management is the adoption of flexible management methodologies, particularly the Agile approach and its frameworks, such as Scrum, Kanban, and Lean. Integrating these methodologies gives rise to hybrid management models for organizing operational processes. This study aims to establish the conceptual basis of hybrid Agile models in organizational operations management and determine how to combine different management approaches based on task nature and environmental uncertainty levels. This article analyzes the evolution of flexible management systems, highlighting the transition from Agile approaches used by small project teams to their large-scale implementation in various organizational activities. It identifies methodological inconsistencies in the modern interpretation of flexible management approaches, particularly the mixing of different levels of managerial concepts. The article proposes a logical approach to systematizing key concepts: Lean is considered a meta-level of organizational principles, Agile is considered a flexible management philosophy and set of adaptive frameworks, Kanban is considered a practical tool for managing operational workflows, and Scrum is considered a basic teamwork organization framework. A managerial matrix for selecting hybrid approaches is developed that allows for the combination of Agile, Lean, and Kanban methods, depending on the level of predictability and whether tasks are oriented toward projects or operations. The development of hybrid Agile models is proven to be a natural stage in the evolution of operations management. Combining Scrum as a core framework with Lean and Kanban tools enables organizations to adapt management practices to uncertain environments, improve business process organization, and enhance managerial efficiency.
The modern digital landscape is characterized by a critical level of information overload, when the daily volume of data reaches hundreds of terabytes, and the consumer is faced with 6-10 thousand advertising and information stimuli. This phenomenon causes cognitive exhaustion, media fatigue, a reduction in attention span to 6-8 seconds, increased “banner blindness”, ad-avoidance and skepticism about commercial messages. Brands faced a paradox: the growth of content does not increase, but rather reduces the effectiveness of marketing communications falls by 20–40%, conversion decreases, and consumers actively protect their attention by switching platforms, ignoring push and filtering feeds. The article comprehensively analyzes the challenges of marketing communications in conditions of oversaturation: fragmentation of channels, decreased quality of perception, increased emotional stress and behavioral avoidance reactions. The effects of overload for consumers and for brands are investigated. Based on the synthesis of modern concepts and empirical data (VRK, Gartner, MIT Sloan, Adobe Digital Trends reports), a comprehensive system of tools for increasing efficiency is proposed: hyper-personalized adaptive targeting with an emphasis on context and consent, omnichannel strategies with a focus on “quality attention”, reducing cognitive load through the principle of “less is more” (one clear message, fractal approach), authentic craft content instead of mass AI-generated content, neuromarketing methods (eye-tracking, EEG) for measuring real attention, predictive analytics for predicting behavior and interactive formats (UGC, 1-to-1 dialogue, microinfluencers). Practical recommendations are focused on the transition from quantitative growth to qualitative differentiation: focus on relevance, rapid identification of value in the first seconds, design taking into account attention interruptions, and ethical personalization. Prospects for further research include empirical testing of the effectiveness of hybrid models “AI + human creativity” and the impact of generative content on longterm loyalty.
Aim . This work aimed to examine the prospects and possible models for developing Bolshoy Ussuriysky Island as a transboundary economic zone that facilitates international cooperation and stimulates the regional economy. Objectives . The work seeks to analyze existing strategies and conceptual approaches to the development of Bolshoy Ussuriysky Island; evaluate the international experience of similar projects (Khorgos International Center for Cross-Border Cooperation, the Maquiladora program, the Kaesong Industrial Region); identify the potential opportunities and threats to the development of Bolshoy Ussuriysky Island as a transboundary economic zone, and identify the factors that facilitate its successful operation; and propose recommendations for adapting international experience to Russian realities. Methods. The study employed an analysis of scientific publications, regulatory documents, press releases and reports from government agencies, as well as case studies from international organizations and professional communities. It also applied methods of comparison, systematization, and generalization of information. Results. The need to create a specialized legal status for Bolshoy Ussuriysky Island was confirmed. Priorities for its development have been identified, including a logistics hub, the agricultural sector, tourism, as well as the ecological and cultural component. Key obstacles have been identified, including the lack of clear legal regulation, a shortage of transport infrastructure, and difficulties associated with the environmental protection of the unique natural environment of the island. International analogs are considered, with the analysis of their positive and negative experiences (Khorgos, the Maquiladora program, and the Kaesong technology park), and the general patterns and specific features of each project are highlighted. Conclusions. The development and implementation of plans for Bolshoy Ussuriysky Island is a complex but promising project of paramount importance for strengthening Russian-Chinese cooperation and the socioeconomic development of Russian Far East. The main idea consists in creation of a cross-border economic zone that will transform the island into an international logistics hub, an agro-industrial complex, and a tourist attraction center. The article focuses on the development of transparent legal mechanisms and the need for harmonious infrastructure development necessary for transforming Bolshoy Ussuriysky Island into a full-fledged crossborder logistics and tourist destination.
The article substantiates scientific and methodological approaches to assessing the organizational and economic level of strategic logistics management in agricultural enterprises in Ukraine in conditions of growing external turbulence and military threats. The existing logistics strategies of agricultural enterprises (classical, adaptive, integrated, innovative) have been systematized, taking into account the type of business model, scale of activity, market orientation, and level of management maturity. It has been shown that the evolution from a cost-based to an innovative-digital paradigm ensures the growth of sustainability and competitiveness of agrarian business. Based on the generalization of domestic and foreign studies, key barriers to strategic logistics management (digital divide, environmental inefficiency, institutional inconsistency, staff shortages, infrastructure constraints) have been identified, and their impact on the sustainability of agricultural enterprises' logistics chains has been determined. Particular attention is paid to the development of an improved concept for assessing logistics efficiency based on a system of key performance indicators (KPIs), supplemented by the Integrated Logistics Effectiveness Mirror (ILEM) indicator. The proposed ILEM methodology combines the normalization of quantitative KPIs, expert validation of qualitative parameters, weighted aggregation, and scenario analysis, which allows moving from fragmented, predominantly retrospective control to continuous monitoring of logistics efficiency in near real time. The results of the study prove that the implementation of an integrative KPI system and the author's ILEM indicator transforms the logistics strategies of agricultural enterprises from a tool for recording facts into a mechanism for proactive strategic risk management and the formation of a sustainable competitive advantage in national and international markets. Practical testing of this approach, as demonstrated by leading agricultural companies in Ukraine, confirms its ability to enhance the transparency of logistics processes, reduce costs, and strengthen companies’ resilience to external destabilizing factors.
Aim . To identify the mechanisms of adaptation of production systems to the hybrid organization of labor and production, as well as to develop a methodological approach to assessing enterprises’ readiness for such a transformation. Objectives . To analyze contemporary scientific literature; to study practical cases; to synthesize the identified patterns; to create diagnostic tools. Methods . The study is based on a qualitative methodology employing a multiple-case design. The empirical basis consists of five implemented projects in various industrial segments. Methods of comparative and systemic analysis, as well as synthesis of theoretical and empirical data, were applied. Results. It was established that effective hybridization requires synchronous changes across four interconnected circuits: technological, infrastructural, managerial, and protective. Objective contradictions are revealed: automation increases productivity but increases dependence on the reliability of software and hardware; the integration of heterogeneous equipment preserves functionality but complicates maintenance. Based on the synthesis of cases, a four-circuit readiness assessment model and an integral maturity index were developed, allowing for the diagnosis of bottlenecks and the determination of development priorities. Conclusion . The proposed methodological approach shifts the management of hybrid transformation from piecemeal implementations toward systemic diagnostics and balanced development. Further research should be directed toward the quantitative assessment of the economic efficiency of hybridization and the verification of the model on an expanded sample of enterprises.
The article examines the theoretical and applied aspects of improving the macro-level mechanism for combating money laundering and the financing of terrorism in Ukraine under conditions of martial law, financial digitalization, and increasing cross-border risks. The purpose of the article is to define the essence, structure, and functional characteristics of the macro-level mechanism for combating money laundering and the financing of terrorism and to substantiate directions for enhancing its effectiveness in the context of adverse external conditions. The research systematizes scientific approaches to macro-level regulation in the field of financial monitoring, reveals the interconnection between risk-based supervision, institutional capacity, and international coordination, and analyzes the dynamics of Ukraine’s position according to the Basel Anti-Money Laundering Index during the period from 2020 to 2025. The author’s contribution consists in developing a comprehensive conceptual model of the macro-level mechanism as an intersectoral system operating at the intersection of finance, law, and security. The article substantiates the expediency of integrating the risk-based approach with big data analytics tools, supervisory and regulatory technology solutions, and information exchange mechanisms among financial intelligence units, regulatory authorities, and law enforcement agencies. The scientific novelty of the results lies in deepening the theoretical understanding of the macro-level mechanism through the prism of macroprudential regulation and in defining institutional consolidation, digital integration, and the implementation of proportionality and privacy-bydesign principles as systemic prerequisites for its modernization. The practical significance of the research is reflected in the possibility of applying the proposed approaches to the development of public policy in the field of financial security, improvement of coordination mechanisms among financial monitoring entities, and harmonization of national legislation with international standards. The main conclusions demonstrate that strengthening the resilience of Ukraine’s financial system to the risks of criminal proceeds legalization requires deeper international cooperation, simplification of mutual legal assistance procedures, expansion of cross-border data exchange, and enhancement of the independence of regulatory and law enforcement institutions.
The article examines international capital movement as an important component of the system of international economic relations and one of the key factors influencing the development of the global economy. In the context of globalization and increasing economic interdependence between countries, the movement of capital across national borders plays a significant role in ensuring the efficient allocation of financial resources, stimulating investment activity, and supporting economic growth. The study focuses on the theoretical foundations of international capital movement and its place within the structure of modern international economic relations. The main forms of international capital movement are analyzed, including foreign direct investment, portfolio investment, and international lending. Particular attention is paid to the mechanisms of their functioning in the global financial system and their role in the redistribution of financial resources between countries. The study emphasizes that international capital flows contribute to the development of global financial markets, the expansion of international investment activities, and the strengthening of economic cooperation between states. The article also examines the current trends in international capital movement in the global economy. It highlights the growing role of transnational corporations, the increasing importance of international financial markets, and the influence of global economic initiatives on the formation and direction of investment flows. It is noted that modern international capital flows are characterized by high mobility, structural complexity, and sensitivity to economic, institutional, and geopolitical factors. Special attention is devoted to the analysis of the impact of international capital movement on the development of national economies. It is concluded that international capital movement plays a crucial role in shaping modern global economic processes. Effective participation of countries in international capital flows contributes to strengthening their economic potential, increasing competitiveness, and facilitating their integration into the global economic system.
