π-Economy

RAR RUS 7-31 Mukhacheva Anna Econometric modeling of digital development of the economy and social sphere of Russian regions The problem of the research lies in the deficiency of statistical apparatus and mathematical models for relevant assessment of digital development of regions, necessary for achieving the national goal of “digital transformation”. This problem is especially pronounced in terms of digitalization of the social sphere, since most statistical indicators reflect digitalization of the economy. The first hypothesis of the study is that digitalization of the economy and social sphere of the region largely depends on the socio-economic and innovative development of the constituent entities of the Russian Federation. According to the second hypothesis, key factors of digital development of the economy and social sphere of the region can be identified using econometric analysis and formation of mathematical models on its basis. Econometric analysis also allows to form a typology of regions in accordance with the dynamics of digital development indicators, identify the main digital profiles of the constituent entities of the Russian Federation; determine trends in the development of digitalization in Russian regions, which have been insufficiently studied so far. The objective of the study is to conduct an econometric analysis of publicly available statistical data on the digital development of the economy and social sphere of the regions in order to: a) mathematically identify the key indicators of the digital development of the social sphere (the least studied area of regional development in terms of the introduction of digital technologies); b) determine the integral indicators of the comprehensive digital development of the region (including the economy and social sphere); c) identify the most significant factors-determinants of the digital development of the economy and social sphere; d) conduct a typology of regions to form a list of the most common digital profiles of the constituent entities of the Russian Federation. The research methods are represented by factor, correlation, regression, cluster types of analysis. Factor analysis was used to reduce the dimensionality of indicators, identify correlated factors, and form key integral indicators of digital development of the social sphere, as well as the economy and the social sphere in the relationship of these indicators. Separately, through factor analysis, the key components of the socio-economic and innovative development of the region were identified in order to subsequently form regression models of their impact on the digital development of the territories. Cluster analysis made it possible to identify the digital profiles of the regions. The significance level of the models was verified by technical methods in SPSS Statistic. The results of the study can be used in the formation of regional policies for the digitalization of the economy and social sphere, taking into account the level of socio-economic and innovative development of the region. 10.18721/JE.18401 332.14 digital development digital profile of the region digital needs of the region digital resources of the region digitalization of the social sphere digitalization of the economy https://economy.spbstu.ru/article/2025.114.1/ 01_Muhacheva.pdf

RAR RUS 32-53 V-1094-2019 56968223000 0000-0002-0941-6358 Peter the Great St.Petersburg Polytechnic University Babkin Alexander babkin@spbstu.ru

Russia, 195251, St.Petersburg, Polytechnicheskaya, 29

Mikhailov Pavel Q-4229-2017 57195759467 0000-0003-3644-4239 Voronezh State Technical University Shkarupeta Elena 9056591561@mail.ru

20 letiya Oktyabrya st., 84, Voronezh, Russia

Chen Leifei A toolkit for assessing the digital maturity of an intelligent industrial ecosystem based on coevolution and ecosystem synergy In the context of widespread digitalization and digital transformation of industry, there is an increasing need for comprehensive methods for assessing the digital maturity of not only individual enterprises, but also full-fledged intelligent industrial ecosystems. Despite the availability of various methods for assessing digital maturity for companies and enterprises, this topic is still developing. Moreover, approaches to the analysis of full–fledged ecosystems remain rather fragmented and often do not take into account important aspects of their functioning, such as the synergetic effects resulting from the use of ecosystem formats, as well as coevolution between ecosystem participants, which means the need for coordinated and interconnected development between all participants to achieve maximum results. Thus, intelligent industrial ecosystems functioning on the basis of coevolution and ecosystem synergy are considered as the object of research. The subject of the study is the digital maturity of an intelligent industrial ecosystem operating on the basis of coevolution and ecosystem synergy. The purpose of the research is to develop scientific and methodological tools for assessing the digital maturity of an intelligent industrial ecosystem operating on the basis of coevolution and ecosystem synergy, which reflect the systemic properties of connectivity, the interdependent development of elements and ensuring mutually beneficial cooperation between ecosystem actors. Within the framework of the study, the concepts of "intelligent industrial ecosystem" and "digital maturity" were clarified; the current state of the subject area of the digital economy, digitalization, and digital technologies was considered; a comprehensive scientific and methodological approach was proposed to assess the digital maturity of an intelligent industrial ecosystem, which makes it possible to assess the digital coevolutionary potential, taking into account the features of the synergetic effects of the ecosystem, and the digital foresight of industrial ecosystems; Based on the proposed approach, a methodology for assessing digital maturity has been developed that integrates an analysis of both the current capabilities of the ecosystem (coevolutionary potential) and its development prospects (digital foresight). The key features of the study are taking into account the effect of coevolution in ecosystem formats – the adaptation of participants to joint development in the digital environment, as well as assessing the synergy between them – additional effects from the interaction of enterprises within the ecosystem. 10.18721/JE.18402 330.322.012 intellectual industrial ecosystem digital maturity coevolution synergy industrial symbiosis https://economy.spbstu.ru/article/2025.114.2/ 02_Babkin%2C-Mihaylov%2C-Shkarupeta%2C-CHen.pdf

RAR RUS 54-67 Baranovskiy Vladimir vlad205@mail.ru Digital transformation and strategic management: Rethinking concepts, approaches and organizational forms The article provides a comprehensive analysis of the evolution of strategic paradigms, covering traditional approaches and modern methods of strategic management. The author systematizes key changes in the logic and practice of strategy formation, highlighting three central areas of transformation: the transition from static strategies to process management, the strengthening of the role of corporate values as the core of strategic thinking, as well as the need to integrate business and IT strategies at the architectural level of the organization. Particular attention is paid to the architectural approach, which considers an organization as a system of interrelated components – goals, structures, processes, and digital technologies – requiring coordinated development and management. The paper also analyzes examples of leading Russian and international companies such as Skyeng, SBER, Spotify and Amazon, demonstrating successful adaptation to the new challenges of the digital age. The results obtained form the methodological basis for the development of new conceptual and practical models of strategic management that meet the modern requirements of the digital economy and allow organizations to effectively adapt and develop in conditions of high turbulence and technological uncertainty. 10.18721/JE.18403 338.24 strategic management digital transformation process approach organizational architecture value leadership flexible strategy https://economy.spbstu.ru/article/2025.114.3/ 03_Baranovskiy.pdf

RAR RUS 68-84 Beilin Igor Kormushina Elena Development of investment attractiveness of the innovative industrial center of the oil and gas region in the nationally oriented economy The economic and theoretical discourse on the trends and prospects of the rent-raw materials model of regional development through the prism of venture investment and technological entrepreneurship allows us to formulate a scientifically grounded economic assessment of the structure of the investment climate of the oil and gas region. The purpose of the study is to identify various aspects of the problem of investing in the fixed capital of the oil and gas region in order to find ways, forms and methods of developing the investment attractiveness of its scientific, technological, innovative, industrial and financial center and assessing the possibilities of transition to new technological structures in the context of financial embargo and transformation of the global energy balance. The scientific novelty of the study lies in the fact that, based on the analysis of investments in the fixed capital of the oil and gas region, an equilibrium cyclical model for the development of the investment attractiveness of its administrative and economic center, which owns the majority of the entire scientific, technological, innovative, industrial and financial wealth of the region, has been developed. The study uses methods of regression analysis of the structure and dynamics of investment in fixed assets of organizations in the oil and gas regions of the Volga Federal District and constructs polynomial trend lines up to 2030, the choice of which in all cases is due to the highest reliability of approximation, taking into account the high volatility of oil and gas quotes throughout the observed period. The result of the study was the development of an equilibrium cyclical model for the development of investment attractiveness of the scientific, technological, innovative, industrial and financial center of the oil and gas region in the nationally oriented economy. The practical significance of the results of the study is determined by the possibilities of their application in the real sector of the economy of the oil and gas region, consisting in attracting investments in the main production assets of the urban agglomeration, as a pole of regional economic growth, and ensuring a balance of technological and reproductive innovative investments for the growth of capital productivity of the regional fixed capital. Such a mechanism for the development and maintenance of a favorable investment climate in the urban agglomeration has broad application potential in the context of improving strategies for the commercialization of innovations in the direction of new technological paradigms, forming regional and interregional innovation markets as an important factor in national economic security under Western sanctions. 10.18721/JE.18404 332.1 regional economy regional finances oil and gas region budget policy investments in fixed capital industrial economy innovation economy urban agglomeration https://economy.spbstu.ru/article/2025.114.4/ 04_Beilin%2C-Kormushina.pdf

RAR RUS 85-104 Morozov Danila 56436586400 0000-0003-3042-7550 Penza State University Gamidullaeva Leyla Impact of transport infrastructure on socio-economic development of regions: econometric analysis This article examines the impact of transport infrastructure on socio-economic development of the regions, analyzes theoretical approaches of foreign and domestic authors to the assessment of transport infrastructure in the context of regional development. The subject of the study is the features of the impact of transport infrastructure on the level of socio-economic development of the regions, formalized as gross regional product (GRP). The influence of transport infrastructure on key socio-economic indicators of regional development and the assessment of its significance through the use of econometric methods are substantiated. To collect and process information, methods of analysis and synthesis, induction and deduction were used; for practical justification of hypotheses, analytical, statistical and econometric methods were used; for the conclusions, the method of generalizing materials from scientific, educational and specialized literature, regulatory framework, as well as official statistics data were used. The authors present an attempt to practically justify theoretical approaches to determining the relationship between transport infrastructure and socio-economic development of regions using regression analysis. The study found that the impact of transport infrastructure is heterogeneous – in each region, various significant transport factors influencing economic development are identified, which is due to the peculiarities of the economic structure of the regions, the level of infrastructure development and social aspects. As part of the analysis, the authors were able to establish the statistical significance of the impact of transport infrastructure on economic growth for a number of regions of the Volga Federal District. However, the authors noted that the dynamics of the GRP, as one of the indicators of the level of socio-economic development of the regions under consideration, depends on various factors of the transport infrastructure, which indicates the heterogeneity of such impact. Based on the results of the study, the authors identified the problem of accounting for spatial externalities affecting interregional transport links, which requires a more comprehensive approach to assessing transport infrastructure. The authors concluded that it is necessary to develop a universal and transparent methodology for accounting for external spatial externalities affecting the socio-economic dynamics of the regions. 10.18721/JE.18405 332.12, 338.12 transport infrastructure socio-economic development gross regional product spatial externalities social effects regression analysis https://economy.spbstu.ru/article/2025.114.5/ 05_Morozov%2C-Gamidullaeva.pdf

RAR RUS 105-123 Kurnikova Marina Assessing the technological maturity of Russian regions as a foundation for their technological sovereignty and global competitiveness 10.18721/JE.18406 332.1:330.341 region technological sovereignty technological maturity of regions innovation potential global competitiveness strategy https://economy.spbstu.ru/article/2025.114.6/ 06_Kurnikova.pdf

RAR RUS 124-139 Flek Mikhail rostvertol@aaanet.ru Ugnich Ekaterina ugnich77@mail.ru Assessment of career potential of employees in the system of the enterprise human capital management The relevance of the study is due to the need to improve the human capital management system of enterprises, due to the problem of shortage of qualified specialists. It is shown that for enterprises, a comprehensive assessment of the career potential of employees is of great interest among the tools for managing human capital, the results of which can contribute to the formation of recommendations aimed at increasing labor productivity. The purpose of the article is to develop a comprehensive methodology for assessing the career potential of employees as a systemic tool for managing the human capital of an enterprise. The scientific novelty of the study lies in the development and substantiation of a comprehensive methodology for assessing the career potential of employees of an enterprise, which integrates objective and subjective indicators, and also contributes to the formation of individual trajectories of employee development to improve the efficiency of the enterprise as a whole. The theoretical basis of the study is the works of domestic and foreign authors devoted to the development of ideas about the career, personnel potential of employees and the management of human capital of the enterprise, as a whole. The use of the index research method made it possible to form integral assessments that give an idea of the objective and subjective indicators of employee performance. Visualization of the results is presented in the form of a positioning map. The empirical basis of the study was formed by the data of the questionnaire survey of employees of three structural divisions of the machine-building enterprise, as well as the information provided by the HR department. A total of 31 employees were surveyed. The result of the study was the developed methodology for assessing the career potential of employees, which is aimed at identifying promising employees with the necessary competencies and qualities. The proposed methodology is based not only on the assessment of objective indicators of employees characterizing their productivity and experience, but also on the assessment of subjective indicators reflecting the personal characteristics and internal motives of employees. This methodology was tested, in each of the three divisions of the enterprises (technological, design departments and production) employees were identified for the career reserve. The results obtained made it possible to give recommendations on the development of career potential to all assessed employees, depending on their placement on the positioning map. 10.18721/JE.18407 331.108 human capital career potential human capital management career potential assessment enterprise https://economy.spbstu.ru/article/2025.114.7/ 07_Flek%2C-Ugnich.pdf

RAR RUS 140-157 Bulatnikova Polina Radaev Anton TW-inc@yandex.ru Model for substantiating the characteristics of a material resource inventory management system, taking into account various risk categories Effective management of material and technical support is one of the key factors of sustainable development while ensuring the required level of flexibility and adaptability of production systems within industrial enterprises. Of particular importance in this context are the issues related to ensuring an effective system for managing multi-item stocks of material resources directly involved in the corresponding production processes. The objective of the study is to develop tools for solving the problem of substantiating the characteristics of a system for managing multi-item stocks of material resources, taking into account the requirements for preventing a shortage of a material resource and exceeding the maximum permissible stock level. The object of the study is a system for managing multi-item stocks of material resources involved in the main technological process of an industrial enterprise. The subject of the study is the characteristics of a system for managing multi-item stocks of material resources involved in the main technological process of an industrial enterprise. The study included a detailed analysis of existing scientific developments in the field of substantiating the characteristics of material resource stock management systems within industrial enterprises, and identifying the shortcomings of the corresponding tools (models, methods, algorithms etc.). An optimization model was developed that provides justification for the characteristics of the management system for multi-item stocks of material resources, taking into account the following risk categories: the risk of a shortage of one or more product items of stocks of material resources; the risk of exceeding the maximum permissible level of stock of material resources for one or more product items. The methodology for optimizing the safety stock for one product item was used as a theoretical basis. The most effective algorithms for implementing the model are based on the generalized decreasing gradient method, which demonstrates high accuracy and convergence rates in relation to the presence of smooth (differentiable) functions, as well as on stochastic global search methods. The developed optimization model was implemented on a practical example – to solve the problem of substantiating the characteristics of the management system for stocks of material resources used in the activities of enterprises in the construction industry. The results of the implementation of the model on a practical example confirmed its high practical significance. 10.18721/JE.18408 519.863 optimization model industrial enterprise material resources inventory management residual inventory level deficit level https://economy.spbstu.ru/article/2025.114.8/ 08_Bulatnikova%2C-Radaev.pdf

RAR RUS 158-172 Berngart Bella Popova Elena Adaptive scenario-based multi-criteria approach to assessing investment potential in agribusiness This paper presents a comparative analysis of SAW, TOPSIS, and GDR multi-criteria aggregation methods, applied to the construction of a synthetic investment attractiveness index (SIAI). The relevance of this study is determined by the need to enhance the methods of integrated assessment of investment potential in the context of evolving financial reporting structures, particularly in strategically important sectors of the economy. Classical assessment methods of the investment potential of an enterprise assess loan capital as a negative factor; however, under subsidized financing, long-term liabilities can be treated as equity, necessitating the development of new aggregated assessment models and indices that can take into account capital’s changing structure. This study is aimed at finding the optimal ratio of classical and adapted coefficients using multi-criteria decision-making methods (MCDM). The purpose of the study is to perform a comparative analysis of three MCDM methods – SAW, TOPSIS, and GDR – based on a synthetically formed structure of input data reflecting possible configurations of classical and adapted stability coefficients. Empirical data are drawn from a three-year financial dataset of an agricultural enterprise (2022–2024). Additionally, the model was modified by introducing a trust coefficient (P/S) depending on the adaptation level. Each MCDM method was used to rank the scenarios, followed by a sensitivity and consistency analysis using Spearman’s rank correlation. The results indicate that GDR exhibited the greatest structural stability and lowest rank volatility after the inclusion of the external trust indicator. SAW remained robust, while TOPSIS showed significant sensitivity to the expansion of decision space. GDR, which combines inner structure of SAW and TOPSIS and is supplemented by MINMAX, demonstrated high degree of normalisation and correlation to SAW. An optimal scenario that balances classical and adapted indicators was determined, is recommended for further applied research. The practical value of the paper lies in application of the developed approach when constructing stable ratings of investment attractiveness in the context of transforming financial statements. Future research directions include weight optimization, expansion to cross-sectoral datasets and evaluation of alternative distance metrics within TOPSIS. 10.18721/JE.18409 330.4 multi-criteria decision-making MCDM SAW TOPSIS GDR Spearman’s rank correlation fuzzy SAW fuzzy TOPSIS normalization rank reversal rankings sensitivity analysis comparative analysis https://economy.spbstu.ru/article/2025.114.9/ 09_Berngart%2C-Popova.pdf

RAR RUS 173-185 Palkina Elena elena_palkina@hotmail.com Vagin Mikhail Methodology for assessing impact of digitalization of lean production on economic efficiency of industrial enterprise One of the main goals of a modern industrial enterprise is to improve the efficiency of its operation, which will increase the competitiveness of domestic products in the world market. In this regard, most manufacturing organizations have now implemented the principles and methods of lean production and use various digital technologies. However, as practice shows, in order to achieve greater positive economic result from the development of new areas of industrial activity, it is important to use a scientific approach to substantiating management decisions in this area, since under certain conditions the synergetic effect of the combined use of lean production and digitalization tools can be negative. The least developed in this area are the issues of methodological support for the process of developing measures aimed at improving the activities of an industrial enterprise in the digital economy. The purpose of this work is to create a methodology for assessing the impact of digitalization of lean production on the economic efficiency of an industrial enterprise. In the course of the research, methods of comparative analysis, grouping, generalization, systematization and expert assessments were used. The main stages of the process of developing a management decision on the implementation of digital lean production and their content are defined. The criteria for making intermediate decisions at the branching points are established. An algorithm has been developed to assess the impact of the combined use of lean production tools and digital technologies on the economic efficiency of the enterprise. The obtained research results have theoretical and practical significance, since the developed methodological provisions develop the scientific foundations of industrial economics and provide an opportunity to increase the competitiveness of domestic producers in the world market, subject to their application. The use of the proposed methodology will ensure the adoption of rational, economically sound decisions in the field of introducing new digital technologies and lean production tools at the enterprise in order to improve the efficiency of industrial organizations. In the future, it is advisable to conduct an empirical study of the practice of applying the proposed methodology in the activities of industrial enterprises with an evaluating the results obtained. 10.18721/JE.18410 338.45 lean production methodology assessment enterprise industry synergetic effect digitalization economic efficiency https://economy.spbstu.ru/article/2025.114.10/ 10_Palkina%2C-Vagin.pdf