Purpose: to identify the degree of macroeconomic, industry, and internal factors influence on the fair value of PJSC Norilsk Nickel shares in the context of macroeconomic and geopolitical instability.Methods: сorrelation and regression analysis were the primary methods used to identify statistically significant relationships between fair value and various corporate, industry, and macroeconomic indicators. The analysis was conducted using R programming language, with statistical packages and visualization tools. Stationarity of time series was confirmed using ADF testing; non-stationary components were differenced. Multiple linear regression was used to build the model, followed by residual diagnostics.Results: correlation analysis indicated that global nickel prices and the IMOEX index are key positive drivers of the fair value for Norilsk Nickel shares. Notable inter-variable relationships were observed: global nickel and copper prices are correlated; the IMOEX index and USD/RUB exchange rate show a positive connection; RVI (Russian Volatility Index) and OFZ yields relate, reflecting growing uncertainty and interest rates. ROA and ROE are logically linked, while the debt burden shows a weak negative correlation with ROE. The final model demonstrates high statistical significance, stability, and absence of multicollinearity and heteroscedasticity. It explains the majority of fair value variation during 2015–2024.Conclusions and Relevance: the study confirms the significance of both industry-specific and general market factors in determining the fair share value for metallurgical companies. The resulting model holds forecasting potential and aids decision-making amid uncertainty. The findings can help investors assess the investment attractiveness of PJSC MMK Norilsk Nickel and assist corporate governance in strengthening resilience to external shocks.
Purpose: to formulate proposals for the stable development of the crowdinvesting segment in the conditions of the current market challenges.Methods: the research is based on the processing and analysis of data on deals conducted using crowdinvesting in 2022 – the first half of 2025. Systematization, classification and statistics methods were used to form the database. The methods of direct and indirect analysis were used to analyse the investors’ structure. The method of content analysis and comparison is applied to foreign scientific researches. To identify the market development prospects the analysis perimeter involves the regulatory environment, strategic financial market development documents, as well as modelling analysis of crowdinvesting platform and financial infrastructure interaction.Results: the database of investors in crowdinvesting was investigated, which served as the basis for the analysis of market participants in quantitative and qualitative aspects. The author's typologization of business models of crowdinvesting platforms and classification of transactions is proposed, which can become a part of the methodological basis for the formation of a risk management system for this financial instrument. The risks inherent in the involvement of retail investors in venture financing are indicated. A conceptual fork in the financial market development strategy is outlined in the format of minority investors’ participation in the equity of joint-stock companies.Conclusions and Relevance: recommendations for reducing risks and overcoming the limitations of the long-term development of the crowdinvesting tool were given. A comprehensive approach is proposed, which includes improving financial and investment literacy; increasing the share of institutional investors, taking into account the specifics of the early stages of the company's development, market segmentation depending on the type of transaction and characteristics of the company; risk distribution among market participants, taking into account the risk of transactions; improving the trust of all market participants by increasing information openness.
Purpose: to assess the potential of interstate integration as a foundation for achieving technological sovereignty within the Union State.Methods: the study is grounded оn systemic and spatial-economic approaches that conceptualize integration as a multilevel system of technological, production, and institutional interactions. An assessment of national approaches to technological sovereignty is conducted using a comparative analysis of academic literature and a macroeconomic analysis of indicators reflecting key factors of scientific and technological development. The potential for economic integration is evaluated through a structural analysis of mutual trade, a dynamic analysis of regional trade flows, and an institutional analysis of joint ventures.Results: the findings identify distinct models of technological sovereignty within the Union State. The Russian model is characterized by large-scale public financing of science and the development of a domestic research base, while the Belarusian model is primarily based on enterprise-level innovation activity and industrial modernization. Analysis of the structure of mutual trade indicates increasing sectoral complementarity, particularly in mechanical engineering and the chemical industry, while hydrocarbons remain a key driver of economic convergence. Interstate integration demonstrates growing spatial concentration in capital cities and industrially developed regions. Institutional constraints remain, but coordinated actions and harmonization of standards contribute to reducing barriers to integration, creating a technological and economic platform for it.Conclusions and Relevance: the study demonstrates that increased political tensions and sanctions pressure have intensified both similarities and differences in the models of technological sovereignty within the Union State, while simultaneously stimulating deeper economic integration. This is reflected in the convergence of trade relations, development strategies, and regional economic interaction toward more intensive contractual and industrial partnerships.
Purpose: to assess the impact of patent activity on the financial performance (EBITDA and ROA) of oil and gas companies in the context of import substitution policy in the framework of the open innovation concept.Methods: comparative, correlation and regression analysis with time lags of data from eight leading vertically integrated oil and gas companies – 4 Russian (PJSC Gazprom, Lukoil, Rosneft, Tatneft) and 4 international (BP, ExxonMobil, Chevron, Shell) for the period 2015– 2023. To assess the impact of import substitution on the operating profit of Russian companies, models with interaction variables were used.Results: universal positive relationship between patent activity and subsequent growth in EBITDA and ROA (with a 3-year lag) was not identified. Significant differences in the effectiveness of innovation strategies between companies were revealed. The correlation turned out to be strongly positive for Tatneft and ExxonMobil, and negative for Lukoil and Gazprom. This reflects different approaches, from formal patenting and meeting institutional requirements to the targeted creation of commercialized technological assets. Regression analysis with the interaction variable revealed a tendency to weaken the positive impact of patents on operating profits of Russian companies compared with international ones in the context of import substitution policy.Conclusions and Relevance: the import substitution policy stimulated the quantitative growth of patenting, but weakened its positive impact on the operational efficiency of Russian companies. This indicates a shift towards a more "closed" innovation model, where patent growth is often formal and does not provide the expected financial returns in the medium term. The study confirms that the quality of patents, the effectiveness of their commercialization, and the depth of integration into business processes are critical to financial results, rather than the volume of the patent portfolio.
Purpose: to justify the need to coordinate fiscal and monetary policies in order to create a favourable environment for the development of companies in the technology sector.Methods: the methodological basis of the study is a comprehensive interdisciplinary approach incorporating tools from behavioural economics, economic analysis, and event modeling. The computational part of the work is based on an analysis of technology companies' reactions to the Bank of Russia's key rate decisions using an abnormal return model. The empirical analysis utilized the returns of the Moscow Exchange MOEXIT index. The research objects include the shares of Ozon, YDEX (Yandex), HEAD (Headhunter), VKCO (VKontakte), POSI (the Positive Group), CNRU (Zian), ASTR (Astra Group), SOFL (Softline), DATA (the Arenadata Group).Results: the results of the analysis show that despite increased budget support for the technology sector, budgetary funds are being utilized insignificantly, while private investor funds are declining. Furthermore, investor reactions to key rate changes are weak and statistically insignificant. This means that when fiscal and monetary impacts are multidirectional – when fiscal measures stimulate development and high interest rates simultaneously restrain it – an environment is formed in which the technology sector does not receive sufficient impulse for accelerated development.Conclusions and Relevance: this paper substantiates the need to align fiscal and monetary policies as a key condition for effectively reorienting investment flows toward strategically important sectors that contribute to achieving technological leadership. The findings highlight the need to rethink the role of the stock market as a channel for transmitting macroeconomic incentives in the face of sanctions pressure, limited access to external financing, and the growing importance of private capital's behavioural sensitivity to state economic policy instruments.
Purpose: to determine the value and labour orientations of Russian youth in the context of current modernization of the society.Methods: the methodology is based on the integrated application of general scientific methods (analysis, synthesis, systems approach) and specialized sociological techniques. The empirical base consisted of a survey of the representative sample of Penza Oblast youth followed by a statistical data analysis, comparative intergenerational analysis of semi-structured interviews with the youth to identify qualitative characteristics of value transformations.Results: the study confirms the adaptive transformation of traditional orientations across different generations of youth in the context of economic modernization and digitalization. It clarifies the mechanism for selective continuity of values, ensuring the integration of traditional attitudes into modern work strategies without losing core cultural patterns.Conclusions and Relevance: the study refutes the hypothesis of generational conflict of values, demonstrating adaptive transformation of traditional youth orientations. Synthesis of traditional (stability, duty, respect) and modern (flexibility, self-realization) values is identified, shaping work strategies without breaking with cultural patterns. An evolution of value orientations is established, from idealism (Generation A) through pragmatism (Z) to ethical-practical synthesis (Y), reflecting natural process of socialization. The results provide an analytical basis for developing targeted public policy in education, human resources management, and implementation of national projects, considering value profiles of young people. The research prospects include studying the mechanisms of adaptive value transformation, analyzing the translation of traditional patterns in the digital environment, and comparative studies of intergenerational dynamics in different sociocultural contexts.
Purpose: to examine the dependence of households' inflation expectations on the values of observed and actual inflation, as well as the key rate of the Central Bank of Russia and its inertia.Methods: the main tool in the article is econometric analysis. The least squares method is used to test the level of dependence of inflation expectations on indicators of actual inflation, observed inflation, and the key rate of the Central Bank of Russia for the period 2014-2025. The source for the simulation is statistical data from the Central Bank of Russia. The assessment of the inertia of inflation expectations, i.e. their dependence on previous values, was carried out using an autoregressive model with lags.Results: the results obtained indicate that Russian inflation expectations are close to irrational ones. The indicators of observed and actual inflation have a significant impact on their formation. The current key rate has a weak impact. The lagged autoregressive model shows a high dependence of Russian inflation expectations on previous values, indicating the adaptive nature of these expectations. However, the farther back in time the previous results are, the less impact they have on the respondents' current assessment.Conclusions and Relevance: the average and median values of Russian inflation expectations are about twice as high as the corresponding official inflation indicators, and there is a moderate positive correlation between these two variables. The dependence of inflation expectations on the key interest rate remains weak, which indicates the irrational nature of Russian households' inflation expectations. Due to this weak relationship, tightening monetary policy through high interest rates does not have significant impact on household inflation expectations, so the effectiveness of the monetary policy interest rate channel should be compensated for by active communication from monetary and fiscal authorities.
Purpose: to assess the impact of various immigration types on the small business development in the Russian regions.Methods: quantile regression with fixed effects and time effects is the main method. The data of 82 subjects for 1996–2023 were used. The regions, depending on the level of entrepreneurial activity, are divided into 10 quantiles – from 0.1q to 0.99q.Results: models with two dependent variables are evaluated – the number of employees per small business and the number of small enterprises. The specific weights of three types of immigration (intraregional, interregional, international) are explanatory variables. Some socio-demographic factors are also included. The results showed different effects of immigration on the dependent variables. Thus, interregional and intraregional immigration has a reverse effect on the number of employees, increasing from low to high quantiles, while international immigration has a direct growing effect in medium and high quantiles. The impact on the number of small enterprises of intraregional immigration has not been revealed; interregional immigration has a reverse effect with a decrease in the coefficient values from low to high quantiles; a slight reverse effect of international immigration was manifested in the regions of two middle quantiles.Conclusions and Relevance: the domestic mobility of Russians does not have a positive impact on the development of small business. International immigrants increase employment, but only in the regions where SME development has reached at least average levels. The regions with higher employment rates in the small business are more acutely aware of the multidirectional impact of domestic and international immigration.
Purpose: to update the methodological foundation of meso-level economics research through a systematic bibliometric analysis that identifies and structures its key thematic areas and theoretical and methodological approaches.Methods: the paper employs a systematic bibliometric analysis using the VOSviewer tool to construct terminological maps, cluster data and analyse the dynamics of topics. The present study is grounded in a selection of publications from the Scopus database (2008–2025), which have been filtered by mention of the meso-level of economy. The methodology encompasses a retrospective analysis of the mesolevel concept evolution, the identification of central terms, and the application of а cluster analysis to terminological domains.Results: the context of the development of meso-level economics research is defined. Eight thematic clusters reveal a paradigm shift: from static structures to dynamic transformations, and from theoretical to applied management tools. The sustainable development agenda – particularly its environmental dimension - emerges as central, enabled by digital transformation. Critical gaps include: (1) weak conceptualization of integration forms, and (2) insufficient attention to socio-demographic and geopolitical factors. Stakeholder approaches are essential for harmonizing interests in quasi-integrated structures. The meso-level is redefined as a dynamic space for harmonizing stakeholder interests and resources to enhance interorganizational efficiency.Conclusions and Relevance: the meso-level confirms its role as a pivotal adaptation space for global crises and sustainability. Methodological pluralism and deeper theoretical integration are imperative. The future research should prioritize developing rigorous conceptual frameworks for business integration forms.
Purpose: to develop a dynamics approach to substantiating management decisions for in-demand professions. The second part of the article substantiates a dynamics approach to finding solutions on in-demand professions and proposes to develop a ranking draft of All-Russian Register of in-demand professions of the economic and socio-humanitarian orientation.Methods: when displaying the relationships of the mental schemas’ elements and processing empirical data on solutions for in-demand professions, methods of formalization, gamma distribution, modeling linear regressions, ranking and grouping were used to build a draft of the ranks register of economic and socio-humanitarian orientated in-demand professions.Results: a loopy shaped regularity of the in-demand professions changes has been revealed. It has been disclosed that decision makers accept solutions of four types for in-demand professions based on the frequency approach of the vacancy’s ratio to job seekers. The logic and analytical tools of applying a dynamic approach to finding solutions for in-demand professions are set out.Conclusions and Relevance: at the frequency approach, stochastic transitions of quantitative changes from in-demand professions to qualitative ones (such as ordinary, then ordinary to unclaimed professions and vice versa) follow a loopy shaped regularity. The dynamics of transitions is characterized by the "vacancies" indicator, identified with the concept of "demand" for labour. The decision makers based on "loopy shaped" curve intervals of the in-demand professions take into account four types of solutions based on the ratio of vacancies to job seekers: "outstripping growth" of vacancies; compensation for the outflow of labour by an increase in the supply of vacancies; "stabilization" of vacancies supply; "shortage" of vacancies supply. The emergence of online job search sites, the need for decision makers to improve the efficiency of labour resource management form the modernization prerequisites for the methodology and tools on finding solutions to in-demand professions, including the development of new registries for them.
Purpose: to develop categorical and conceptual apparatus for the subject area "external consumers of the organization", reflecting its basic study aspects, a system of concepts, most fully and accurately describing this phenomenon, as the foundation of a future theory.Methods: in terms of bibliographic research, elements of a systematic review method were used; in terms of developing the conceptual apparatus, the categorical and systemic triad network method was used in the article.Results: the research allowed obtaining the following results: 1) key categories and concepts that describe the subject area "external consumers of the organization" at the level of fundamental aspects of the study have been identified; 2) a model of the categorical and conceptual apparatus of the subject area as an ordered system of interconnected concepts has been developed. Examples of identifying new knowledge about the object are presented through the description of triads, complexes, and chains of triads of the model. The intermediate result of the study is a map of the terminological apparatus of the organization's external consumers extracted from scientific literature which allowed evaluating the content, completeness, elaboration and systematization of the theoretical aspects of the subject area at the time of the research.Conclusions and Relevance: the developed triad network model integrates the conceptual apparatus of the subject area into a system of categories and concepts about external consumers of the organization that are united by a logical sequence, which most fully and accurately describe this phenomenon. This allows us to reduce the gap between theoretical understanding of the phenomenon and actively developing practice, create a foundation for scientifically grounded methods of managing relationships with external consumers, and ensure greater clarity in scientific discussions.
Purpose: to develop a model of a payment token based on the analysis of its key economic characteristics, such as backing, price stability, liquidity, and volatility.Methods: heterodox, systemic, structural-functional, institutional, cybernetic, and pragmatic methodological approaches to the formation of a cross-border payment infrastructure based on distributed ledger technology; methods of mathematical modeling: descriptive statistics method, index method, normalization method, numerical optimization methods.Results: a payment token model based on a stable currency basket has been developed. Optimal quantitative characteristics of the payment token for use in a cross-border payment infrastructure based on distributed ledger technology have been determined. For the cross-border payment space of the BRICS countries, it is advisable to use a payment token backed by a stable currency basket consisting of the Chinese yuan, Russian ruble, Indian rupee, and Brazilian real. By minimizing the optimization function, the coefficients of the national currencies in the stable basket backing the payment token of the BRICS cross-border payment space have been determined. An alternative model of a payment token backed by a currency basket of Western countries – the US dollar, euro, pound sterling, and yen – has been developed. It is shown that the volatility of tokens based on currency baskets with weights optimized within the proposed model is significantly lower than the volatility of any single currency.Conclusions and Relevance: in the money circulation subsystem of a cross-border payment infrastructure based on distributed ledger technology, it is rational to employ a payment token that meets the economic characteristics of backing, price stability, liquidity, and low volatility. Such a token will ensure the uninterrupted functioning and accessibility of cross-border settlements for economic agents of the BRICS cross-border payment area. The application of an invariant index of the currency value in the design of the payment token model provides a methodological foundation, independent of the choice of a base currency, for optimizing the numerical indicators of its economic characteristics.
Purpose: to identify opportunities and constraints for the development of trade among EAEU member states.Methods: based on export and import data for an extended group of EAEU countries and affiliated partners, trade intensity indices, a modified Herfindahl–Hirschman index, integration potential indices were calculated, and structural trade networks were constructed. A multilateral analysis of EAEU trade prospects under potential enlargement scenarios was conducted.Results: the study assesses the stability of intra-EAEU trade relations over the period 1995–2024, covering trade interactions among 13 countries with the most intensive ties. Key features of trade relations within the EAEU and with potential integration partners are identified. The results reveal uneven and asymmetric export–import structures within the EAEU. Russia and Kazakhstan remain oriented toward European markets, while Armenia, Belarus and Kyrgyzstan are more closely linked to Asian markets. Risks and integration potential associated with new participants are identified.Conclusions and Relevance: trade dynamics indicate deepening integration within the EAEU, accompanied by both risks and opportunities. There is strong volatility of Kazakhstan's trade participation, the risk of dependence remains high for Belarus. Key challenges include Russia’s limited involvement in intra-union trade and the similarity of export structures between Russia and Kazakhstan. Expansion toward Iran, Uzbekistan, India and Egypt could mitigate these constraints and enhance integration resilience. The conclusions made it possible to formulate recommendations for forming the EAEU development strategy.
Purpose: theoretical and analytical substantiation of the directions and mechanisms of digital tools and platform-based solutions impact on the transformation of economic policy and public governance systems in the BRICS countries (with a focus on Russia, India, and China).Methods: research methodology is based on a systemic and institutional approach, involving the use of comparative and structuralfunctional analysis methods, content analysis of regulatory and statistical data, as well as elements of the platform economy theory and the concept of «state as a platform» to assess the impact of digital instruments on the formation of new economic policy in the BRICS countries.Results: study's findings demonstrate that digital tools and platform solutions are becoming a systemic factor in the transformation of economic policy in the BRICS countries, creating the preconditions for sustainable economic growth and improved public administration efficiency. The development of a platform economy is found to facilitate the transition from traditional forms of government regulation to an ecosystem-based governance model based on network effects, reduced transaction costs, and the personalization of public services, thereby enhancing the transparency and adaptability of institutions. The concept of «state as a platform» is substantiated as an institutional basis for the formation of a new digital model of an interaction between the state, business, and society, aimed at increasing technological sovereignty and inclusiveness of socio-economic development.Conclusions and Relevance: study examining the fundamentals of platform economy development using Russia, India, and China as examples confirmed that digital tools are a key driver in the formation of new economic policies in the BRICS countries. The transition from fragmented digitalization to a platform model is shaping a new architecture of economic relations based on the principles of openness, networking, and technological sovereignty. The need to adapt national strategies to the conditions of the digital economy and develop institutional mechanisms to ensure the sustainability and inclusiveness of digital transformations in the BRICS region is emphasized.
Purpose: to assess the involvement of domestic universities in the critical technology development in Russia based on the analysis of the integration of scientific and educational activities and related aspects of the scientific results transfer.Methods: the study is based on data on the publication activity of Russian universities in the RSCI core journals and the assessment of the integration of scientific results reflected in them with the basic professional educational programs (BPEP) implementation. Bibliometric analysis methods and data parsing techniques were used. Informational basis includes data from the eLIBRARY; data from the Russian universities’ official websites; QS ranking data on the Russian universities’ positions.Results: the level of universities specialization in specific critical technologies was assessed. A statistical relationship between the university publication activity in the field of the analyzed critical technologies and their activity in implementing the corresponding BPEP was identified. The results showed a moderately positive correlation (r=0.45) between the studied parameters. Master's degree programs (r=0.51) demonstrated a stronger connection with the results of scientific activity than bachelor's degree programs (r=0.38). The clustering of universities revealed differences in the approaches of sectoral, specialized, and multidisciplinary universities to the integration of research and educational activities within the framework of the analyzed critical technologies. It was found that universities with higher levels of collaboration between publication activity and BPEP tend to have higher positions in the QS rankings.Conclusions and Relevance: the study’s results indicate a relationship between the university publication activity in the field of critical technologies and the BPEP implementation in the same field. The nature and extent of these relationships vary depending on the BPEP level and the type of university. These results can be used for the further analysis of the mechanisms that link scientific and educational activities in higher education institutions.
Purpose: to identify the dependence of the results of environmental projects of non-profit organizations (NPOs) on the quality of their project applications to improve the grant support system.Methods: the information base of the work was the indicators of 1280 environmental projects supported by the Presidential Grants Fund and completed up to and including December 31, 2023. The study utilized content analysis, descriptive statistics methods, calculated correlation coefficients, and constructed ordinal regression equations.Results: this study examined the results of applying the current grant application evaluation methodology used by the Presidential Grants Fund. It was found that, for Russian NPO projects focused on environmental conservation, there is no correlation between the quality of the project application and the assessment of the project outcomes. The study demonstrated the differential impact of grant applicant experience on the success of the project preparation and implementation; it confirmed the existence of a certain category of applicants who do not take past experience into account when writing the project applications. Factors hindering mutually beneficial cooperation between NPO representatives and the government were identified.Conclusions and Relevance: the study found that the grant applications that receive the highest ratings do not always transform into the best environmental non-profit projects. The theoretical significance of the study lies in its formalization of a project logic model for improving the grant support system for NPOs. Of practical value are the recommendations formulated for representatives of the Presidential Grants Fund and NPOs, aimed at increasing the effectiveness and predictability of non-profit projects.
Purpose: to develop a model for training and development system of civil servants amid digitalization, the key element of which is a mechanism for building civil servants’ digital competencies based on a value-based approach.Methods: the study relies on comprehensive methodology, including institutional and systems approaches. A content analysis of scholarly publications and Russian regulatory legal acts regulating the digitalization of HR processes in the civil service was conducted. Based on the modelling method, graphic interpretations of the system of civil servants’ training and development and the mechanism for the formation of digital competencies were developed.Results: the analysis of key regulatory legal acts allowed systematizing the main areas of personnel work digitalization: remote interaction expansion, integration of personnel procedures in the digital environment, documentation standardization, and employee data updating. The article provides the model of the staff training and development system. A cyclic algorithm for implementing this mechanism is proposed, which includes diagnostics, goal-setting, training and assessment.Conclusions and Relevance: the proposed system of civil servants’ training and development amid digitalization can become an effective tool for modernizing Russian public administration. The introduction of a value-oriented mechanism for the formation of civil servants’ digital competencies will overcome excessive bureaucratization and ensure the transition to a modern model of digital public administration in Russia. The feasibility of developing a separate federal project “Formation of Digital Competencies of Civil Servants” within the framework of the national project “Data Economy and Digital Transformation of the State” is substantiated.
Purpose: to assess the impact of a border position on trade interaction between Russian and Belarusian regions.Methods: the study used statistical methods for analyzing indicators of socio-economic development of the regions, general logical methods of comparison and generalization, as well as gravity and Dixit-Stiglitz-Krugman models.Results: as a result of assessing indicators of socio-economic development of the Russian-Belarusian border regions, it was found that the influence of the border position on the regions’ foreign trade interaction is heterogeneous and depends on a combination of spatial and sectoral factors. Calculations of elasticity coefficients have shown that for the border regions the volume of industrial production and transport accessibility are significant determinants of foreign trade flows, while the price factor is less stable. Comparison of the industry profiles of the Russian regions bordering the Republic of Belarus (Smolensk, Pskov and Bryansk) made it possible to identify groups of the regions with pronounced industry connectivity, primarily in the chemical industry, mechanical engineering and process manufacturing.Conclusions and Relevance: the results obtained confirm that the presence of a border position itself is not a sufficient condition for formation of stable foreign trade relations and requires taking into account the sectoral structure of the regional economy. The spatial and sectoral interpretation of the results made it possible to identify the complementary specialization profiles of the regions, which allowed substantiating directions of cross-border cooperation development and clarifying the guidelines for spatial development of Russia and Belarus border regions. The practical significance of the study lies in possibility of using the findings in the development of regional policy measures and strategies for the socio-economic development of the border areas.
Purpose: to systematize scientific knowledge about digital twins (DT), considering their potential as a tool for digital modernization of socio-economic systems within the innovation-driven economy, with an emphasis on identifying key trends, terminological discrepancies, and factors of interdisciplinary development.Methods: the methodological basis includes bibliometric, comparative, and content analysis of publications indexed in ScienceDirect and eLibrary (2000–2024). Classification, systematization, thematic modeling, and interpretation were applied. The analysis considered quantitative and qualitative indicators: publication dynamics, terminology, disciplinary orientation, and national research traditions.Results: a steady growth of publications was established, especially over the past 5 years. Most studies are concentrated in engineering, computer science, and medicine, reflecting the technological orientation of the discourse. Differences between international and domestic publications were found in terminology, priorities, levels of interdisciplinarity, indicating asynchronous development and limiting transfer of engineering solutions into the socio-economic sphere. A classification of application areas and a taxonomy of implementation methods of digital twins were developed, supporting terminology unification and guiding applied research. At the same time, significant untapped potential was revealed in managerial and organizational-economic practices – from logistics and maintenance to strategic planning and sectoral digital programs – making digital twins an important instrument of modernization in the innovative economy.Conclusions and Relevance: the analysis confirmed the high potential of digital twins for integration into management processes, strategic planning, and industry programs within the innovation-driven economy. The practical significance of the study lies in creating a unified knowledge base for strategic management and modernization of the innovative economy. The future research should focus on terminology institutionalization, development of interdisciplinary models, and empirical case studies of technology implementation.
