π-Economy

RAR RUS 7-28 Krakovskaya Irina Digital transformation of industrial business models: conceptual approaches and scenarios Under the influence of the deepening digitalization of the economy and society, the practice of digital transformation of business models in industry is expanding, aimed at creating new technological, economic and market competitive advantages for industrial enterprises. Management studies have repeatedly emphasized the crucial role of digital business models in increasing the competitiveness of industrial enterprises, but the conceptual provisions, intra-organizational processes and factors that ensure the innovative development of industrial business models in difficult and uncertain conditions remain insufficiently studied. The purpose of the study was to develop a logical model for choosing a scenario for the business model digital transformation based on the systematization of conceptual approaches to digital business transformation, principles and criteria for its successful implementation. The following results were obtained in the course of the study. The methodological features of the digital transformation of business models in industry were identified, reflecting the industry’s technological and socio-economic specifics of industrial business. The conceptual approaches to the digital transformation of the business model were classified according to three criteria (3P): the Prompt, the Principle and the Path of transformation. The interrelationships of conceptual approaches within each classification feature according to the parameters of timing, regularity, novelty, degree and speed of changes influencing the choice of the transformation scenario were revealed. A logical model for choosing a digital transformation scenario of a business model was proposed, which made it possible to identify and justify a digital transformation scenario based on an analysis of the factors of digital readiness of an industrial enterprise and the choice of a specific set of conceptual approaches to digital transformation, taking into account the criteria of commercial feasibility and economic efficiency of transformation, the viability of the business model and/or the created value proposition, as well as the principles of intra-organizational and external coherence, balance of strategic orientation, flexibility and adaptability, principles of project management. The obtained scientific results can be used in the development of strategies and projects for digitalization and digital transformation of industrial enterprises. Further research in this area can be developed in the direction of specifying criteria for the success of the digital transformation of industrial business models (to the level of economic indicators for each conceptual approach and scenario), as well as testing the proposed logical model for choosing a scenario for the business model digital transformation in the practical activities of industrial enterprises and other economic activities. 10.18721/JE.18301 65.011.56 digital transformation digitalization business model industry conceptual approach scenario https://economy.spbstu.ru/article/2025.113.1/ 01_Krakovskaya.pdf

RAR RUS 29-46 Fattakhov Khamit Strategies and innovative solutions for ensuring sustainable growth and enhancing corporate competitiveness in the context of digital transformation In the context of digital transformation of the global economy, it is essential to rethink traditional methods of strategic management to ensure sustainable growth and enhance corporate competitiveness. This article analyzes modern strategies and innovative solutions aimed at adapting businesses to the digital era. The purpose of the study is to examine the applicability of strategic management approaches in the context of digital transformation and to develop a conceptual organization management model. To analyze the theoretical and methodological aspects of strategic management of an organization in the context of digitalization, the study employed methods of analyzing open-source data, scientific research methods, including analysis and synthesis, as well as deduction and generalization techniques. The article reviews widely accepted concepts of strategic management in the context of the challenges of the digital economy. Current trends in the development of strategic management models are clarified, and tools requiring revision and improvement in the context of digital transformation are identified. Key principles and characteristics of strategic management of an organization in the context of digital transformation are formulated. A conceptual model of strategic management based on these principles is proposed, and the model is further detailed into strategic management tools incorporating innovative approaches to organizational strategic management processes. The key aspects of the new conceptual management model include the structuring of digital strategy tools, the integration of cognitive and scenario-based management, the justification of a digital feedback loop, an adaptive approach to strategy formation, the integration of external and internal organizational resources, and the maximization of the human-centricity index as the target function of the organization’s development. The strategic management process in the proposed model evolves in a spiral dynamic, sequentially passing through four stages: defining strategy and development scenarios, transforming strategy into goals, implementing the strategy, and evaluation with feedback. The model features a three-loop structure, enabling flexible “switching” between development scenarios based on real-time feedback assessment. A promising direction for future research is the development of a methodological approach to forming a strategic management model for an organization in the context of digital transformation, as well as the creation of methodological tools for the proposed model. 10.18721/JE.18302 005.7 strategic management digital transformation conceptual model strategic management tools https://economy.spbstu.ru/article/2025.113.2/ 02_Fattahov.pdf

REV RUS 47-68 Pobedin Aleksandr Catalysts of regional innovation: incentive mechanisms for smart specialization The article examines key forms of stimulating regional innovations within the framework of the smart specialization concept, including special economic zones, clusters, technology parks (technoparks), business incubators, living labs, public-private partnerships (PPP), open innovation platforms and coworking spaces. The relevance of the study is due to the need to adapt innovation policy tools to the challenges of digital transformation and the transition to Industry 6.0. The purpose of the work is to identify the conditions for the effective use of various stimulation mechanisms based on a comparative analysis of international and Russian experience. The methodology includes systematic and structural analysis and the classification of tools according to the criteria of target orientation, functional characteristics and achieved economic effects. The study reviews innovation stimulation and smart specialization practices in the countries of Asia-Pacific region (China, Singapore, South Korea), Europe (Sweden, Finland, Spain, Czechia, Poland, Slovakia), as well as the experience of innovative development of territories in Russia. The research findings demonstrate that the greatest efficiency of stimulating innovation activity is ensured by: а differentiated approach to selecting specific stimulation mechanisms, taking into account the initial level of a region’s innovative potential, the structure of its economy, and the specifics of its institutional environment; the implementation of integrated models involving the synchronized use of multiple complementary stimulation mechanisms within a unified territorial development strategy, ensuring systemic support for innovation processes; a high degree of integration among key innovation stakeholders – public authorities, research and educational institutions, businesses and civil society. The highest levels of productivity and innovation activity are observed in territories where effective coordination mechanisms and knowledge-sharing practices among various innovation ecosystem participants are established, facilitating accelerated innovation diffusion and generating synergistic effects. The practical value of the study lies in the development of recommendations for shaping regional innovation ecosystems, considering territorial specificities, including a modular approach to innovation policy. Particular attention is paid to emerging innovation stimulation mechanisms, such as living labs and digital platforms, which can accelerate innovation diffusion in the context of a new phase of scientific and technological progress. Further research directions include assessing the effectiveness of policy tools under import substitution conditions, developing metrics for measuring the impact of innovation ecosystems on regional resilience, and exploring the role of artificial intelligence in managing regional innovations. 10.18721/JE.18303 332.14 smart specialization innovation development innovation ecosystem digital transformation special economic zones clusters technoparks business incubators living labs PPP coworking spaces https://economy.spbstu.ru/article/2025.113.3/ 03_Pobedin.pdf

RAR RUS 69-81 Makhotaeva Marina makhotaeva@mail.ru Nikolaev Mikhail fef-sp.ucoz.ru Assessing the effectiveness of achieving technological sovereignty Achieving technological sovereignty should currently be considered as one of the main challenges for the Russian economy. The prospects for the socio-economic development of the state largely depend on an adequate response to it. The purpose of the work is to develop methodological aspects of assessing the effectiveness of achieving technological sovereignty. The analysis of scientific literature and forecasting and planning documents showed that the state pays priority attention to issues of scientific and technological development and support for high-tech industries. As a result of the studies, two main approaches to assessing the effectiveness of achieving technological sovereignty were identified – target and industry. Using the first approach, the effectiveness was assessed according to the degree of achieving the goals presented in the Concept of Technological Development in the context of federal districts. The analysis carried out on the basis of the target approach showed that the Volga Federal District is the leader, and the Siberian and Far Eastern Federal Districts are outsiders, which is largely due to the insufficient level of development of manufacturing industries. The industry analysis was performed for high-tech industries of pharmaceutical production and computer production. The analysis showed that the dynamics of production and investment of the type of activity “Computer production” are approximately at the level of manufacturing industries as a whole. At the same time, the type of activity “Pharmaceutical production” is characterized by fairly high growth rate of production and investment. Similar results were obtained when analyzing the profitability of sales and assets of these industries. Low values of the profitability indicator of computer production assets do not allow the industry to attract sufficient volumes of private investment, ensure a high level of investment and innovation activity and digital transformation of the economy based on the domestic technological base. The assessment of the competitiveness of high-tech industries is based on the analysis of the factors of employment dynamics using the “shift–components” method. The results obtained within the framework of this approach confirm the conclusions made earlier about the presence of internal unfavorable factors in the computer production industry that hinder its development. 10.18721/JE.18304 332.1 fiscal instruments high-tech industries investments industry analysis technological sovereignty efficiency target analysis https://economy.spbstu.ru/article/2025.113.4/ 04_Nikolaev%2C-Mahotaeva.pdf

RAR RUS 82-99 Pishchalkin Denis Suloeva Svetlana suloeva_sb@mail.ru Assessment of the innovation potential of the region when forming a development program In a modern economy, it is the magnitude of the innovation potential and the efficiency of its use that determine the potential opportunities and growth horizons of the regional economic system. If the innovation potential is at a high level, the region becomes more attractive for investment. Enterprises operating in this area, which are the key elements of the innovation potential, have greater opportunities for innovative development and attracting financing. In turn, the innovative development of the regions is achieved by ensuring competitiveness. Besides isolated development, the region can build stable relationships and achieve effective interaction with other regions in the field of socio-economic development. This allows creating and distributing new products, forming new types of activities, industries and areas of economic activity, thereby enhancing innovative excellence. An assessment of innovation potential is necessary for the development of socio-economic development program, taking into account the efficient use of innovative resources and the justification of innovation policy at different levels of governance. Developing the innovation potential of the region and stimulating innovative activity in society will solve existing problems in the region’s economy and ensure balanced economic growth. The purpose of the study is to develop methodological guidelines for assessing the innovation potential of the region in the formation and implementation of innovative development programs. The article analyzes approaches to the definition of the concept of “innovation potential” and offers an expanded interpretation of this concept by the authors. Then, the analysis and systematization of existing methods for assessing the innovation potential of the region are carried out. At the last stage of the study, methodological provisions have been developed to assess the innovation potential of the region. The scientific significance of the study lies in the development and complementation of theoretical and methodological provisions for assessing the innovation potential of the region, aimed at increasing the objectivity, accuracy, completeness and complexity of the assessment, when developing the program for the innovative development of the region. The practical significance of the study lies in the authors’ conclusions and recommendations, which can be used in assessing the availability of resources (including funding resources) for innovative development program of the region in order to make scientifically sound decisions when forming such a program. 10.18721/JE.18305 332.14 innovation regional development innovation potential region innovative process innovative development program https://economy.spbstu.ru/article/2025.113.5/ 05_Pishchalkin%2C-Suloeva.pdf

RAR RUS 100-112 Dzhalalov. Rasim Bugaeva Tat'jana bug_tatiana@bk.ru Sumlikina Alina Assessment of innovation activity of the regions of Russian Federation: methods, problems and prospects The innovative development of Russian regions plays a key role in ensuring economic resilience and enhancing competitiveness in the context of globalization and rapid changes driven by digital transformation. This article examines the influence of innovation on the socio-economic growth of regions, focusing on challenges, such as limited financial resources, insufficient coordination between research institutions and businesses, and uneven distribution of digital technologies and infrastructure resources. These challenges require the development of new methods for assessing and stimulating innovation activity aimed at overcoming existing barriers. For a more comprehensive assessment of regional innovative potential, a new methodology is proposed that includes not only traditional economic indicators, but also social, infrastructural, and technological factors. In contrast to conventional approaches, the proposed methodology allows a more precise evaluation of the impact of digital solutions, scientific research and innovation infrastructure on the processes that stimulate economic growth. This methodology allows regions to allocate resources more effectively, improve interaction between research institutions and businesses, and better adapt to global economic shifts and technological progress. The purpose of the study is to develop an approach for assessing the level of innovation activity in regions, taking into account current trends in digitalization, as well as institutional and human capital factors, while addressing identified methodological gaps. The article also presents a comparative analysis of existing methods for assessing innovation activity, highlighting their strengths and limitations. For the analysis, a system of indicators was used, combined into three groups: financial support for innovation, the state of the innovation environment and infrastructure, and the effectiveness of innovation. The collected data on the regions of Russia made it possible to identify successful strategies and approaches for promoting innovation that can be adapted by other regions to achieve sustainable and efficient development. 10.18721/JE.18306 332.1 innovation digitalization innovation activity integral indicators innovation development index regional economy https://economy.spbstu.ru/article/2025.113.6/ 06_Dzhalalov%2C-Bugaeva%2C-Sumlikina.pdf

RAR RUS 113-133 Milekhina Ol'ga olga.milekhina@gmail.com Adova Irina adovaib@sibmail.ru Regional digitalization and industry factors of labor productivity growth The article is devoted to the study of the results of regional digitalization and their impact on labor productivity. The main objective of the work is to assess the actual impact of investments in digitalization of industries on labor productivity growth in the regions of the Russian Federation. Achieving the goal of the study required solving the following problems: 1) selection and study of relevant publications and researchers' forecasts regarding the impact of digitalization on increasing labor productivity of the constituent entities of the Russian Federation; 2) designing a factual data field and collecting information on the impact of digitalization processes on labor productivity growth in Russian regions; 3) collection and analysis of data on the dynamics of labor productivity growth, indicators of the gross regional product of the constituent entities of the Russian Federation and industry returns on investments in digitalization; 4) drawing conclusions about the contribution of regional digitalization to increasing labor productivity. The design of the study is based on the consistent implementation of these tasks. In the course of the study, methods and approaches of statistical analysis, sequential decomposition, analysis and synthesis of complex systems were used. The work collects public data on forecasts on the impact of digitalization on increasing labor productivity in the regions of the Russian Federation. The created factual data field on the effectiveness of digitalization processes in the economies of the constituent entities of the Russian Federation made it possible to identify fourteen leading regions. The maximum values of the labor productivity index for 2020–2022 were demonstrated by three regions, the analysis of whose performance results formed the basis for the conclusions of this study. It is shown that the introduction of information and communication technologies in the short term did not have a significant impact on increasing labor productivity and a more in-depth analysis of managing people is needed to increase their productivity. It is concluded that the dynamics of the rate of productivity of economic activity is influenced by many endogenous and exogenous factors, and digitalization is only one of them. A selective analysis of the sectoral structure of the economy of the regions leading in digitalization showed an ambiguous contribution of high-tech industries to the creation of gross added value. 10.18721/JE.18307 332.12 digitalization industry region labor productivity gross value added https://economy.spbstu.ru/article/2025.113.7/ 07_Milyohina%2C-Adova.pdf

RAR RUS 134-146 Tikhonov Dmitry tihdm@rambler.ru Development of an algorithm for managing an educational organization based on feedback and value-based management Relevance. In the modern world, building management systems based on feedback that can provide the necessary client variability and versatility of the management structure for effective automation is a complex and multifaceted task. This is especially relevant for educational organizations, where management must take into account the specifics of the educational process, the needs of students and the requirements of educational standards. Effective management systems allow for quick responses to changes in the external and internal environment, which helps to improve the quality of education and the satisfaction of all participants in the educational process. Purpose of the study. The purpose of this study is to develop an algorithm for managing an educational organization based on value management principles, taking into account the features of the digital transformation of higher education. This involves creating a flexible and adaptive management system that can effectively respond to feedback from clients (students, teachers, employers) and optimize processes in accordance with the priorities and values of the educational organization. Research tasks. 1. To determine the sequence of actions for managing an educational organization based on negative feedback, using the provisions of the marketing management concept. This includes analyzing current processes, identifying problem areas and developing measures to address them. 2. To create a formalized mechanism for managing an educational organization based on value, which will take into account the unique features and priorities of the organization. 3. To propose a method for quantitatively assessing the multidimensional space of client value for an educational organization. This will allow for an objective measurement of client satisfaction level and identification of areas for improvement. 4. To determine a management algorithm that will correspond to the features of the selected client space configuration and will be aimed at maximizing client value. Such an algorithm should be flexible and adaptive to account changes in client needs and expectations. Materials and methods. To achieve the purpose of the research, a comprehensive analysis of scientific literature on the management of educational organizations and digital transformation was conducted. General scientific methods and approaches were used, including abstract-logical and structural-logical analyses, as well as systems analysis. Information was collected from open sources, including publications in scientific journals, research reports and data from educational platforms. Results. 1. The sequence of actions for managing an educational organization based on negative feedback was determined using the provisions of the marketing management concept. This includes collecting and analyzing data on problems, developing and implementing measures to solve them, and monitoring the effectiveness of the measures taken. 2. A methodological approach to forming a multidimensional space of client value was proposed, which allows for the individualization of the process of creating value for the client for each educational organization. This creates conditions for using a universal management structure adapted to specific needs and features. 3. A management algorithm has been formulated that corresponds to the features of the selected client space configuration. This algorithm includes mechanisms for collecting and analyzing feedback, developing and implementing corrective measures, and assessing their effectiveness. 10.18721/JE.18308 330 managerial algorithm value-based management assessment indicators feedback https://economy.spbstu.ru/article/2025.113.8/ 08_Tihonov.pdf

RAR RUS 147-161 Erastova Aleksandra Gus'kova Nadezhda econauka@yandex.ru Developing an organization's social responsibility in the context of its sustainability Social responsibility is the most important component of any organization. It should be integrated into its development strategy. Along with economic and environmental components, it creates prerequisites for sustainable development of the enterprise. Having analyzed the existing approaches to defining the concept of “social responsibility”, it can be defined as a systematic and deliberate activity aimed at minimizing the negative social impact of the organization on society and bringing a positive impact on social and human capital. The relationship between social responsibility and sustainable development creates value and long-term success of the organization. The purpose of the study is to develop social responsibility of the organization in order to increase its sustainability. In the process of research, general scientific methods (scientific abstraction, analysis and synthesis, unity of historical and logical), as well as special methods: comparative and functional analysis were used. Based on these methods, the relationship between social responsibility and the priorities of sustainable development of the enterprise is substantiated, a strategic map and a program for the development of its social responsibility are developed. To achieve the stated goal, the article analyzes the social responsibility of the enterprise in relation to the external environment based on the perception of product quality by consumers (customers). The assessment of the internal social responsibility of the enterprise is carried out according to such indicators as: costs of health protection and ensuring safe working conditions for employees of the enterprise; the number of trained employees; analysis of provided social guarantees and benefits. All this made it possible to establish the relationship between the strategic goals of social responsibility and the priorities of sustainable development of the enterprise by the main components (economic, social and environmental). The developed strategic map of sustainable development of the enterprise and the proposed draft program for the development of its social responsibility will contribute to increasing the sustainability of the enterprise and its recognition in the external environment. The implementation of the social responsibility development program will require significant changes in the personnel management process. They will concern the distribution of responsibilities, instruction and training of personnel in the field of social responsibility, the obligations assumed by the administration of the enterprise in this area of activity. 10.18721/JE.18309 005.1:338.24 social responsibility sustainable development occupational safety personnel develop-ment management components of sustainable development priorities strategic map development program https://economy.spbstu.ru/article/2025.113.9/ 09_Erastova%2C-Guskova.pdf

RAR RUS 162-179 Harrak Yosef Butko Galina Effective supply chain management as a way to improve production process productivity The relevance of this research is due to the increasing role of effective Supply Chain Management (SCM) in improving the productivity of production processes of enterprises, especially in the context of economic instability. Efficient SCM significantly impacts the competitiveness, resilience and sustainable development of industrial enterprises, necessitating deep theoretical and empirical research in this area. The purpose of this study is to evaluate the impact of effective SCM on the productivity of production processes of industrial enterprises based on the identification and quantitative analysis of key factors that determine SCM effectiveness and directly impact productivity metrics. The methodological basis of the research was theoretical analysis and empirical assessment using regression analysis based on the Supply Chain Operations Reference (SCOR) model and Sink and Tuttle performance measurement model. Empirical data were collected from six Syrian industrial enterprises over a five-year period, from 2019 to 2024. The study yielded the following new results. A significant positive relationship between effective SCM and productivity growth in the production process were theoretically substantiated and empirically confirmed. A significant positive impact of the reliability of supply chains (efficiency of deliveries) and the added value of employee productivity on the overall level of production productivity of enterprises has been identified and quantified. At the same time, it has been established that such factors as order fulfillment time and asset turnover do not have a statistically significant impact on production productivity. Additionally, the research successfully developed and validated a comprehensive regression model, demonstrating the combined effect of the identified influential factors, explaining over 84% of the variability in the productivity performance of industrial enterprises. The practical significance of this research lies in the development of specific recommendations aimed at enhancing strategic SCM practices. Specifically, the recommendations suggest focusing the efforts of enterprises on increasing reliability and increasing added value due to personnel productivity, which optimizes the entire production process. The study concludes that strategically oriented and carefully managed supply chains play a pivotal role in increasing production productivity. Directions for further research include deeper exploration of the strategic integration of digital solutions, automation technologies and the strengthening of cooperative relationships among supply chain stakeholders, as these are anticipated to become critical determinants of future industrial competitiveness and operational resilience. 10.18721/JE.18310 658.5 supply chain management productivity efficiency industrial enterprises https://economy.spbstu.ru/article/2025.113.10/ 10_Harrak%2C-Butko.pdf