The article examines the functional areas of outsourcing in the public sector and identifies the specific features, advantages, limitations, and risks associated with transferring individual functions to external providers. Based on a synthesis of international and Ukrainian scholarly publications, the main areas of outsourcing are identified: information technology, accounting, human resources, legal, procurement and logistics, communications, and facilities and technical services outsourcing. For each area, the functions that may be transferred to external providers are specified, and the key conditions for their application are characterized. Drawing on examples from the United Kingdom, the United States, Australia, New Zealand, Poland, and European Union institutions, the study analyzes the potential of outsourcing to optimize the internal processes of public organizations, provide access to specialized competencies, and support the performance of auxiliary functions. It is established that the appropriateness of transferring functions depends on the possibility of formalizing and controlling results, confidentiality requirements, continuity of performance, the level of responsibility, and the capacity of external providers. An indicative classification of functional outsourcing areas according to low, medium, and high levels of risk associated with transferring functions to an external provider is proposed. The potential of this approach to differentiate requirements for provider selection, contractual regulation, performance control, and information protection is substantiated.
The paper examines the role of knowledge management methods in improving managerial and operational performance in the distribution sector, with particular emphasis on knowledge sharing practices, organizational culture, and technological support. The research applies a mixed-method approach combining quantitative and qualitative techniques. A survey was conducted among 102 employees from the distribution sector using a structured questionnaire, while qualitative insights were obtained through semi-structured interviews with three distribution managers. Findings indicate that organizational culture plays a crucial role in facilitating knowledge sharing, while the perceived impact of knowledge management methods is most significant in decision-making quality, productivity and interdepartmental coordination. Key barriers include lack of time, low employee motivation, and resistance to change, whereas technical barriers and insufficient managerial support were less prominent. The study contributes to a better understanding of how knowledge management practices influence management performance in distribution. It identifies practical challenges and proposes initiatives for improving knowledge exchange processes, thereby supporting organizational efficiency, innovation, and competitive advantage in dynamic market conditions.
Introduction. In times of war, monetary policy plays a key role in ensuring macro-financial stability, maintaining the functioning of the banking system, and restoring economic activity. Military risks, disruptions to production and logistics chains, rising inflationary and devaluation expectations, as well as the general instability of the financial environment necessitate the adaptation of monetary regulation of the economy to new conditions. Therefore, determining the directions for optimizing monetary policy, improving its impact on business activity and the functioning of the credit mechanism is becoming increasingly important and relevant. Purpose. The purpose of the article is to study the implementation of monetary policy in wartime, determine the effectiveness of the inflation targeting regime in Ukraine, and substantiate the directions for optimizing monetary regulation to ensure macro-financial stability and stimulate crediting to the real sector of the economy. Methodology. The theoretical and methodological basis of the study is modern concepts of monetary theory, in particular the theory of money neutrality in the long run and the functioning of the transmission mechanism of monetary policy. The study uses general scientific methods of analysis and synthesis, comparison, summarization and grouping, as well as the method of scientific abstraction to summarize the results of the functioning of the main instruments of monetary regulation in wartime. Results. The study found limited effectiveness of the interest rate channel of monetary transmission in conditions of dominance of cost-push inflation and a high level of openness of the national economy. It is substantiated that the reorientation of monetary policy towards achieving inflation targets while abandoning active support for exchange rate stability contributes to the narrowing of the credit market, the suppression of investment activity, and the strengthening of devaluation expectations. The need for a transition to a more flexible model of monetary regulation, which involves activating the exchange rate channel of influence and stimulating bank crediting to the real sector of the economy, has been proven.
Introduction. In the context of increasing requirements for transparency and accountability, the digitalization of managerial and financial accounting in public sector institutions is becoming a key element in ensuring their effective functioning. The use of modern domestic software solutions enables systematic planning, control over the use of financial resources, and analytical data processing, thereby enhancing the accuracy and reliability of managerial and financial reporting within the framework of national security. Aim. The purpose of this article is to provide a comprehensive study of the organization of managerial and financial accounting in public sector institutions within the digital environment of Ukrainian software products, with a primary focus on the software product “Master: Budgetary Institutions,” and to assess its practical significance for optimizing the preparation of financial and managerial reports. Methods. The study is based on the application of general scientific methods, including analysis, synthesis, abstraction, comparison, and generalization. This approach made it possible to evaluate the functional capabilities of Ukrainian software, the effectiveness of accounting process automation, and the impact of digitalization on enhancing transparency and accountability in the use of budgetary funds. Results. The analysis has shown that the active implementation of Ukrainian software ensures comprehensive automation of managerial and financial accounting, the generation of operational and analytical reports, control over budget execution, and expenditure forecasting. It has been revealed that the software “Master: Budgetary Institutions” improves accounting accuracy, promotes the rational use of resources, and provides centralized control over the activities of all structural units of an institution. The application of this digital product is of particular importance in the healthcare sector under martial law and in the process of post-war economic recovery. Conclusions. The comprehensive digitalization of managerial and financial accounting in budgetary institutions enhances accountability, efficiency, and reliability of accounting processes. The use of the software product “Master: Budgetary Institutions” contributes to more effective managerial decision-making and ensures transparency of budgetary procedures. Further research should focus on the integration of digital systems, assessment of their impact on the economic security of public institutions, and optimization of analytical reporting for strategic planning.
Introduction. The strengthening of climate policy, the expansion of carbon pricing mechanisms, and the growing demand for sustainable agricultural products are creating new opportunities for diversifying the financial resources of agricultural enterprises. In this context, carbon credits are increasingly considered a potential financial instrument, although their implementation is associated with substantial market, institutional, and methodological risks. Purpose. The purpose of this study is to develop a theoretical and methodological framework for assessing the financial feasibility of using carbon credits as a source of financial support for agricultural enterprises. Methodology. The research is based on systemic, institutional, financial-analytical, risk-oriented, and scenario approaches. The study employs open-access data from international organizations, regulatory documents, voluntary carbon market reports, and recent scientific literature on climate finance, soil carbon sequestration, additionality, and greenhouse gas verification. Results. An original model for assessing the financial suitability of agricultural carbon projects is proposed, integrating climate outcomes, carbon credit market liquidity, verification-related costs, and strategic compatibility with the enterprise’s production model. The study identifies key financial channels through which carbon credits generate economic benefits, including direct credit sales, project pre-financing, access to sustainable finance, supply-chain premiums, and enhanced investment attractiveness. Scenario modelling for an agricultural enterprise with a 5,000-hectare land bank demonstrates that net income may range from USD 0.83 to USD 14.00 per hectare depending on verified emission reductions, carbon credit prices, and monitoring, reporting, and verification costs. Conclusions. Carbon credits should not be regarded as a guaranteed financing source for agricultural enterprises. Instead, they should be integrated into a blended financial mechanism that combines additional revenue generation, climate risk mitigation, improved access to finance, and enhanced competitiveness in sustainable agricultural markets.
In the contemporary context of the transformation of economic systems and the growing requirements for social and environmental responsibility of businesses, the integration of sustainable development principles into enterprise management systems is becoming increasingly important. Under these conditions, the reconsideration of the role of personnel management as one of the key mechanisms for ensuring the long-term sustainability of organizations becomes particularly relevant. The article examines the theoretical foundations of personnel management within the paradigm of enterprise sustainable development and substantiates its role in forming an integrated system of strategic management of organizational development. The object of the study is the enterprise personnel management system, while the subject of the research includes theoretical and conceptual approaches to the integration of the HR system into the framework of ensuring organizational sustainable development. The methodological basis of the study includes a systemic approach, structural-functional analysis, the method of theoretical generalization, and logical modeling. Based on the generalization of contemporary scientific approaches to strategic human resource management and the concept of sustainable development, a conceptual model for integrating personnel management into the system of ensuring enterprise sustainable development is proposed. The model is based on the interaction of three functional contours: the development of human capital, the provision of organizational social stability, and the formation of employees’ environmental responsibility. The scientific novelty of the research lies in the development of theoretical and methodological approaches to interpreting personnel management as a system-forming element of ensuring enterprise sustainable development and in the formation of a conceptual model for integrating the HR system into the structure of strategic management of organizational sustainability.
The object of the research is human capital development of machine-building enterprises based on digitalization and its influence on economic growth. One of the most problematic areas of the research is finding economic prerequisites that will positively influence human capital development at the micro level. During the research, it was proposed to use economic and mathematical modeling to determine changes in the human capital development of Ukrainian machine-building enterprises within changes in several economic indicators. An analysis was made of how the average annual salary of employees, investments per person, and capital equipment correlate with the human capital development of enterprises. Considering the analysis of sources, models of economic support were selected - based on salary adjustments according to digital competencies, ensuring capital equipment through digitalization and investments in the digital development of human capital. Analysis of scientific works also showed that human capital could increase GDP, and then it was determined that at the micro level, with the right model of human capital development, it can increase net income. The economic and regressive relationship between these indicators and the indicator of the value of human capital was revealed. The impact of economic indicators on human capital was determined. When choosing the economic support model for human capital development, the developed forecast of changes in the enterprise net income allows us to see the dynamics of economic changes in indicators. The models of economic support for human capital development were selected for each enterprise with the achievement of the maximum possible predicted positive result of net income. For instance, net profit and human capital value increased on JSC Elmiz with the model based on salary adjustment according to digital competencies. The above-mentioned stages established that increasing investments in digital human capital and capital equipment through digitalization of an enterprise is not always effective for developing human capital. Compared with similar known approaches to human capital analysis, the multi-stage approach can be used to define economic dependencies and identify shortcomings in human capital development and economic policy formation. That may lead to economic growth of machine-building enterprises.
The article examines theoretical approaches to understanding the digital transformation of business processes as a factor in the innovative development of enterprises. The managerial and technological dimensions of digital transformation are characterized, defining the shift in the architecture of business processes in terms of their automation, acceleration, and integration into a unified digital environment. It is established that the impact of digital changes on the innovative development of enterprises is realized through a system of interrelated mechanisms, whose combined effect creates qualitatively new conditions for innovative activity. It is substantiated that digital transformation cannot be reduced to the technological upgrading of individual operations but implies a comprehensive reconfiguration of the organizational, operational, and managerial processes of an enterprise. A conceptual model is developed that reflects the indirect nature of the relationship between the digital transformation of an enterprise and its innovative development. Research Methods. The study employs a set of general scientific and specific methods, including: analysis and synthesis – to generalize scientific approaches to the interpretation of digital transformation and its impact on the innovative development of enterprises; the systemic approach – to identify the relationships between the digital transformation of business processes and the innovative activity of enterprises; abstraction and generalization – to systematize the mechanisms through which digital changes influence innovative development; conceptual modelling – to construct a model reflecting the sequence and logic of the impact of digital resources on the innovative development of an enterprise through the transformation of business processes. Results. The essence of digital transformation as a systemic managerial phenomenon encompassing all levels of entrepreneurial activity is revealed. The mechanisms of its impact on the innovative development of enterprises are systematized. A conceptual model is proposed that may serve as a basis for diagnosing the state of digital transformation of enterprises and identifying priorities for managerial changes aimed at strengthening innovative potential.
The transformation of Ukraine's pension system and the growing need for long-term investment resources make it relevant to study the development of non-state pension funds as a key element of the modern pension provision model. The purpose of this article is to comprehensively assess changes in the functioning of non-state pension funds in Ukraine under current conditions, identify key trends, structural constraints, and potential directions for their further development. The research methodology is based on the analysis of statistical data, a review of the regulatory framework, a comparative study of international experience, and a summary of analytical reports from regulatory authorities. As a result, steady growth in the assets, contributions, and payments of Ukrainian NPFs was established, as well as positive nominal investment returns for the period under review. At the same time, a number of systemic problems were identified: low coverage of the population, preservation of a conservative structure of investment portfolios, limited financial instruments, high inflationary pressure, and insufficient development of the domestic capital market. It has been proven that these factors hinder the realization of the full economic and social potential of NPFs. The need to modernize the institutional and investment mechanisms of NPFs, expand their instrumental base, and increase public confidence has been substantiated. The practical implications of the study lie in identifying priority areas for the development of the third level of the pension system and outlining opportunities for using NPFs as a source of long-term investment capital in the context of post-war economic recovery.
Introduction. In the context of ongoing digital transformation of the economy, increasing complexity of socio-economic processes, and the intensification of wartime and post-war challenges, the issue of enhancing the effectiveness of fiscal policy – particularly in stimulating the agricultural sector – has become critically important. Traditional instruments of state support are losing their effectiveness under conditions of high uncertainty, which necessitates their intellectualisation through the application of advanced digital technologies. In this context, the convergence of human and artificial intelligence emerges as a new paradigm for the development of adaptive and effective managerial decisions within the system of fiscal stimulation of the agricultural sector. Aim. The aim of the article is to examine the theoretical foundations and substantiate practical approaches to the modernisation of fiscal stimulation of the agricultural sector based on the convergence of human and artificial intelligence, with the identification of key influencing factors in the context of sustainable development of Ukraine’s agricultural sector, and the development of a conceptual model for evaluating the effectiveness of their interaction. Methods (Methodology). The study employs the dialectical method, methods of theoretical generalisation, systematisation, and comparative analysis, as well as structural-logical and graphical modelling methods. The methodological foundation is based on the principles of fiscal policy theory, institutional economics, the concept of sustainable development, and approaches to the digital transformation of the agricultural sector. Results. The article substantiates the essence and role of the convergence of human and artificial intelligence as a driver of modernisation of fiscal stimulation in the agricultural sector. A conceptual graphical model is developed, reflecting the nonlinear relationship between the level of convergence of human and artificial intelligence and the effectiveness of fiscal stimulation over time, taking into account the influence of endogenous and exogenous factors. It is demonstrated that the effectiveness of fiscal policy is determined not only by the level of digitalisation but primarily by the quality of interaction between human and artificial intelligence and the ability to ensure their optimal configuration. Directions for enhancing the effectiveness of fiscal stimulation in the agricultural sector are proposed, based on the implementation of intelligent decision-making approaches.
Introduction. In the modern digital economy, enterprise logistics management is undergoing significant transformations related to the introduction of digital technologies, information platforms and automated transport flow management systems. The digitalization of logistics processes, the use of ERP, TMS and other information systems, as well as the development of data analytics tools, contribute to improving transportation planning efficiency, optimizing resource use and enhancing the quality of transport services. At the same time, the effectiveness of such transformations largely depends on the level of personnel preparedness and the development of the human resource management system. The purpose of the article is to form a system of indicators for the digital efficiency of enterprise logistics management taking into account the level of digital maturity of the HR system, as well as to determine approaches to the integration of logistics and personnel indicators into a unified system for assessing resource management efficiency under digital transformation conditions. Research methods. The following research methods are used in the article: induction and deduction – to analyze theoretical approaches to the digital transformation of logistics management and determine the essence of the digital maturity of the HR system; system analysis – to study the relationship between logistics processes and personnel support of the enterprise; synthesis – to form an integrated system of indicators for the digital efficiency of logistics management taking into account the human resource factor; comparison – in analyzing existing approaches to assessing the effectiveness of logistics processes and the digital maturity of personnel management systems; tabular method – to systematize the components of digital maturity of the HR system and groups of indicators of digital efficiency of logistics management; normalization and integrated assessment methods – to form a generalized index of digital efficiency of logistics management; modeling method – to build an integrated model for assessing the effectiveness of enterprise logistics management taking into account the level of digital maturity of the HR system. The results. The theoretical foundations of the digital transformation of enterprise logistics management are studied and the role of the personnel management system in ensuring the efficiency of digital logistics processes is substantiated. The economic essence of the digital maturity of the enterprise HR system and its importance for improving the effectiveness of logistics management in the digital economy are determined. The main approaches to assessing the digital efficiency of logistics management are systematized and the necessity of integrating logistics and personnel indicators into a unified evaluation system is established. A structural model of the components of digital maturity of the HR system is developed, including technological, organizational-process, competency-based and analytical components. Based on this model, a system of indicators for the digital efficiency of enterprise logistics management is formed, taking into account the level of digitalization of logistics processes, the efficiency of the use of transport flow management information systems, the development of employees’ digital competencies and the use of HR analytics. A methodological approach to indicator normalization and calculation of an integrated index of digital efficiency of logistics management is proposed. The practical advantages of the proposed system of indicators are substantiated, in particular the possibility of conducting comparative analysis in dynamics, coordinating logistics and personnel KPIs, increasing the validity of management decisions and forming strategic directions of enterprise digital development. It is proved that the use of an integrated system of indicators contributes to improving resource management efficiency, optimizing logistics processes and strengthening enterprise competitiveness in the digital economy.
The article examines the digitalization of business processes as an important factor in improving the efficiency of financial analysis in entrepreneurial activity. It is substantiated that under the conditions of digital transformation, enterprises experience changes not only in the technical foundations of information processing, but also in the very logic of analytical support for management. It is shown that digitalization contributes to the transition from fragmented and predominantly retrospective financial analysis to a more continuous, integrated, and management-oriented model of analytical work. Particular attention is paid to the fact that improving the efficiency of financial analysis is associated with enhancing the timeliness, reliability, structure, and analytical relevance of data generated within digitalized business processes. The paper summarizes scientific approaches to understanding the digitalization of business processes, the digital transformation of the accounting and analytical system, and the role of the information environment in managerial decision-making. It is determined that the key areas of the impact of digitalization on financial analysis include the integration of operational, accounting, and managerial data, the automation of their processing, the increase in business process transparency, the continuous updating of indicators, the deepening of information detail, and the expansion of its visualization capabilities. It is proved that under such conditions financial analysis acquires not only an evaluative, but also a control, coordination, and forecasting significance, which strengthens its role in ensuring the financial stability, profitability, and adaptability of the enterprise. It has been established that the effectiveness of digitalization as a factor in improving the efficiency of financial analysis depends on the coherence of information flows, the quality of software, the level of integration of digital solutions, the standardization of data processing approaches, and the readiness of management personnel to use analytical results in decision-making practice. It is concluded that the digitalization of business processes creates new conditions for the functioning of financial analysis within the enterprise management system and forms the basis for increasing the validity of financial decisions in entrepreneurship.
The article analyzes the functional framework of government aid in Ukraine, highlighting the emergency adaptations necessitated by martial law. To provide a comparative perspective, the paper examines the European Union’s experience, where a clear pivot is observed from pandemic and energy crisis relief toward long-term strategic goals, specifically environmental protection, green energy, and digital innovation. The research focuses on the data from the most recent reports by the Antimonopoly Committee of Ukraine and European Commission. In addition, the authors propose a set of economic indicators for measuring the alignment of state aid with both the public good and Ukraine’s goal of European Union integration. The proposed indicators include permissible administrative aid measures and a modified competition distortion index, which utilize the widely applied Herfindahl-Hirschman Index to assess the compatibility of government aid in the process of Ukraine’s post-war recovery, taking into account the potential risks of increased monopolization and market distortion. The study concludes by outlining prospects for Ukraine’s post-war reconstruction and emphasizes that long-term stability depends on aligning national policies with the European Union in the context of EU economic integration. The authors argue that integrating EU standards will be vital for transforming Ukraine into a resilient, high-tech hub within the European Single Market.
Introduction. Effective management of innovative enterprise development directly depends on the reliability of accounting information regarding investment resources directed at research, development, and production modernisation. The absence of a unified methodological approach to the accounting representation of investments in innovative activity necessitates the systematisation and clarification of relevant approaches in the context of national accounting standards and IFRS requirements. Purpose. To investigate the role of investments in ensuring the innovative development of enterprises and to substantiate the specifics of their representation in the accounting system in accordance with the requirements of national and international financial reporting standards. Methodology. Comparative analysis of national accounting standards (NAS) and IFRS requirements regarding the recognition, measurement, and disclosure of investments in innovative activity; systematisation of the regulatory framework; classification of accounting approaches by type of investment flow. Results. The study substantiates the appropriateness of examining investments in innovative development through four accounting contours: investments in intangible assets, research and development (R&D) expenditures, capital investments in property, plant and equipment, and financial investments. A comparative characterisation of the recognition criteria, measurement procedures, and disclosure requirements for each type of investment in accordance with NAS and IFRS has been conducted. It has been established that the most methodologically complex issue is the distinction between research and development expenditures, as this boundary determines whether costs are recognised as period expenses or capitalised as assets. The study identifies that the aggregated nature of R&D cost accounting within the national Chart of Accounts, without analytical detail by innovation project, reduces managerial transparency. Directions for improving accounting support have been substantiated, including enhancing the analytical depth of accounting records, improving the documentation of innovation-related expenditures, and aligning the financial and managerial accounting aspects of innovative activity reporting.
The article examines the theoretical and methodological foundations of organizational and methodological support for accounting and taxation of cryptocurrency transactions in the context of the digital transformation of the economy. The relevance of the topic is determined by the rapid development of cryptocurrency markets, the growing spread of digital asset transactions in the economic activities of enterprises, and the need to adapt traditional approaches to accounting and tax regulation to the functioning of digital financial instruments. The object of the study is the economic relations arising in the process of conducting cryptocurrency transactions within the system of financial and accounting relations of an enterprise. The subject of the research comprises theoretical and methodological approaches to the organization of accounting and taxation of cryptocurrency transactions. The methodological basis of the research is formed by systemic and institutional-economic approaches to the analysis of the functioning of digital financial assets. The study employs methods of theoretical generalization, analysis and synthesis, comparative analysis, and a systemic-structural approach. As a result of the research, a conceptual approach to the organizational and methodological support of accounting and taxation of cryptocurrency transactions is substantiated. This approach provides for the integration of the economic identification of crypto-assets, the methodology of their accounting recognition, mechanisms of tax regulation, and the information infrastructure of the enterprise accounting system. The scientific novelty of the study lies in the development of theoretical and methodological foundations for the organizational and methodological support of accounting and taxation of cryptocurrency transactions based on the formation of a conceptual approach to integrating crypto-assets into the financial and accounting system of an enterprise. The obtained results may be used to improve the methodology of accounting for crypto-assets and to develop approaches to the tax regulation of cryptocurrency transactions in the activities of enterprises.
Digital transformation is gradually moving from the level of individual innovations to the level of a systemic phenomenon that determines the conditions of competition, the speed of creating new products and the ability of the economy to renew itself. In these conditions, traditional growth factors such as capital, labor, material resources are increasingly supplemented by digital assets, data and technological platforms, which become key sources of added value. The high-tech sector acts as a kind of environment in which these changes are most clearly manifested. The purpose of the presented work is to determine the features of the digital impact on innovations and the efficiency of economic development in the high-tech sector. The main methods used in the work are: logical method, methods of analysis and synthesis, methods of induction and deduction, generalization method, comparison method, mathematical methods for substantiating the presented research results, graphical method for visual display of individual research results. Integration of artificial intelligence, big data, cloud computing and other solutions allows to significantly shorten the cycle of innovation creation, increase the accuracy of management decisions and ensure flexibility in responding to changes in the global market. As a result, the effectiveness of economic development increasingly depends not on the scale of resources, but on the ability to quickly transform them into new technological solutions. At the same time, digital transformation does not have a clearly linear impact. Along with obvious advantages, it is accompanied by increased competition, increased technological dependence and the need for constant updating of competencies. Digital transformation is a key factor determining the current dynamics of innovation and the effectiveness of economic development in the high-tech sector. It not only accelerates the creation and implementation of new technologies, but also changes approaches to resource management, increasing the flexibility and competitiveness of economic systems. At the same time, its impact depends on the ability of business entities to adapt to the digital environment, develop relevant competencies and effectively integrate innovations.
Introduction. The digitalization of economic processes, increasing information turbulence, and instability of logistics systems necessitate the transformation of approaches to material resource management. Traditional resource management models demonstrate limited effectiveness in dynamic environments, which determines the need for the implementation of adaptive management mechanisms. Purpose. The purpose of the article is to substantiate the theoretical foundations and develop a conceptual approach to adaptive management of material resource utilization in organizations, as well as to design a mechanism for its implementation under digital and information challenges. Methodology. The methodological basis of the study includes general scientific methods, in particular analysis and synthesis, generalization, as well as system and logical approaches, which made it possible to examine existing scientific approaches to material resource management and to systematize them. Results. The study systematizes scientific approaches to material resource management and substantiates the feasibility of their integration within an adaptive framework. A mechanism for adaptive management of material resource utilization is proposed, integrating digital-information, analytical, strategic, organizational, and process components into a unified adaptation loop. It is proven that the implementation of this mechanism contributes to improving resource efficiency, optimizing inventories, reducing costs, and enhancing organizational resilience to environmental changes.
Introduction. Overcoming technological backwardness and maintaining the resilience of Ukraine’s economy under wartime conditions are impossible without the modernisation and expansion of production, which, in turn, require the widespread implementation of innovations and the intensification of innovation processes. At the same time, the domestic research and development sector is currently in an extremely difficult state. Ukraine expects that European integration will, at least partially, contribute to its improvement. However, such expectations may prove overly optimistic, as the European Union itself is experiencing significant challenges in this area under the pressure of global competition. Ukraine must take these factors into account when shaping its own innovation policy. Aim. Based on an analysis of the problems and shortcomings in the formation and functioning of the EU’s innovation potential, the study aims to identify the key directions for its development and to determine the resulting opportunities for activating innovation processes in Ukraine in the context of European integration. Results. The study reveals negative trends in the EU’s research and development sector that contribute to its technological lag behind the United States and China. The underlying causes of these trends are identified, and potential directions for their mitigation are outlined. It is emphasised that although Ukraine faces similar challenges in the field of research and development, these problems are significantly deeper and more critical in nature. It is demonstrated that overcoming them is impossible without accelerated development and modernisation of industrial production, which would generate demand for research and development and serve as a prerequisite for increasing its financing. In light of the challenges faced by the EU, the necessity of identifying domestic sources for expanding research funding in Ukraine is substantiated. Particular attention is given to the potential of existing state support programmes for the real sector, as well as to opportunities for integrating research and educational institutions with the production sector through industrial parks and sectoral technological clusters.
This article develops a model of partnership relations between Ukraine and the European Union in the field of technological breakthrough, based on a SWOT analysis verified by quantitative data from an integral model of the state's technological capacity. The methodological foundation comprises block indices of six analytical dimensions – digital, structural, productivity, human capital, capital base, and defence-industrial – calculated using Penn World Tables 10.01, SIPRI, World Bank, and IMF data for five countries (Ukraine, Poland, Estonia, Germany, Republic of Korea) over the period 2000–2023. According to the calculations, Ukraine's integral index of technological capacity in 2023 stands at 37.91 points, while the multiplicative breakthrough index is 24.03, which falls below the established threshold of 28.84. TheSWOT analysis identified the following: strengths include defence-industrial mobilisation (98.81) and the digital sector; weaknesses include critically low productivity (4.74) and structural transformation (7.84); opportunities include EU instruments (Horizon Europe, Ukraine Facility worth EUR 50 billion, EIC4Ukraine); and threats include a negative forecast trajectory for the capital block by 2030 (–51.1%). Based on the SWOT matrix, four strategic partnership vectors are formulated: SO (converting the defence-industrial advantage), WO (overcoming the productivity gap through EU programmes), ST (protecting digital positions), and WT (minimising capital collapse). The practical value of the study lies in specifying the implementation instruments for each vector and substantiating the priority of partnership in the structural transformation and productivity blocks.
Introduction. Today, analyzing the market is a key element in making management decisions on developing short- and medium-term strategies for the enterprise, investment decisions, and tax reporting. The regulators are also interested in obtaining up-to-date information on the market conditions in which the reporting enterprise operates. Market players do not always act rationally, as they have their own, often unpredictable, biases. In these conditions, traditional fundamental analysis methods risk one-sided coverage of the situation on the market; therefore, it is advisable to analyze market sentiment using natural language processing techniques. The work aims to study the theoretical and practical aspects of applying sentiment analysis in behavioral finance and to develop a technique for analyzing economic circumstances in transfer pricing procedures using sentiment analysis methods. Methodology. To achieve the goal, general scientific methods of analysis and synthesis, logical generalization and comparison, and graphical and tabular methods were used to present the research results, and the FinBERT language model and market sentiment index were used to analyze market sentiment. Results. The article substantiates the need to develop and implement a technique for sentiment-adjusted analysis of economic circumstances in transfer pricing procedures, thereby enabling profitability verification and minimizing operational and audit risks. A study of the applications of sentiment analysis methods in behavioral finance was conducted. On this basis, the feasibility of using the FinBERT language model to calculate the market sentiment index was substantiated. Based on the FinBERT language model, a software solution was developed that automates data collection, filtering, and classification by tone, and calculates the market sentiment index, which was verified in the heavy construction equipment market.
