KSHP. OMD №8-2025 el.dop
I. P. Nikiforov, V. B. Fyodorov (Pskov State University, Pskov)
Review of promising methods for increasing tribological characteristics of sliding friction units
Increasing the reliability and durability of sliding friction pairs, especially those operating under extreme conditions, directly depends on the use of modern materials and advanced manufacturing technologies. The article discusses the most important criteria for optimal operation of sliding friction units and outlines promising methods for improving tribological characteristics. Among the numerous methods for improving tribological and tribotechnical properties of sliding friction units, the greatest preference is given to the use of modern composite materials, the use of lubricating solutions with modifying additives, as well as advanced technologies for manufacturing and processing sliding friction surfaces. The applicability of composite materials and specialized lubricants has a limited area due to the lack of the possibility of structural complication of some sliding friction units, violation of other positive properties of the system. It is shown that in recent decades, multi-level processing and the creation of combined structures of tribo-conjugated surfaces have gained the greatest popularity. The most common methods for bringing the surfaces of tribo-pairs to the required operational properties are thermal spraying technologies followed by grinding, as well as vibration rolling and laser microstructuring of friction surfaces.
Keywords: sliding friction pairs; sliding friction units; tribological characteristics; combined structures; composite materials.
A. V. Ponachugin, A. D. Bychkov, E. I. Trubach (Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod)
The impact of 3D printing technologies on the production of hardware components
3D printing has quickly become an important part of the production of parts, changing the way they are created. This technology makes it possible to produce complex parts with high precision, using fewer materials and less time. In the article, the authors highlight the general idea of 3D printing and its importance in the production of computer components. They review 3D printing technologies and analyze existing additive manufacturing methods and their applications in electronics.
Keywords: computer components; 3D printing; manufacturing; information technology; 3D printer.
N. L. Krasyukova (Financial University under the Government of the Russian Federation, Moscow)
Scientometric analysis of research in the field of industrial policy 2015-2025
The article is devoted to the analysis of research in the field of industrial policy in the period 2015–2025. The results of the scientometric analysis of industrial policy development using the Lens, Scopus (Elsevier) and Web of Science databases made it possible to identify the main areas of research in this area, the countries of the world and the leading universities in this research, and clearly demonstrated the conceptual structure of industrial policy research over the past decade.
Keywords: industrial policy; trends in global publications on industrial policy.
G. A. Gareeva (KNITU-KAI, Naberezhnye Chelny); A. G. Faizullina, S. V. Bulatova (Naberezhnye Chelny Institute of KFU, Naberezhnye Chelny); A. A. Mirsaitova, E. M. Khairutdinova (V. G. Timiryasov State University of Economics, Naberezhnye Chelny))
Development of a console application for Android as a tool for diagnostics of devices and automation of industrial facility management
The article discusses the development of a console application for Android that functions as an analogue of the Modbus Poll software package. The program is created in the C language with the ability to connect to the controller via an Ethernet adapter from a mobile device. The goal is to quickly diagnose Modbus devices in the conditions of operation of automation systems for industrial facility management. The architecture, implementation features, and practical benefits of this tool are described in detail.
Keywords: Modbus; Android; Ethernet; console utility; automation; SCADA; PLC; diagnostics; industrial communications.
V. L. Abramov, S. V. Bryukhovetskaya, M. A. Ekaterinovskaya, P. S. Shcherbachenko (Financial University under the Government of the Russian Federation, Moscow); T. V. Kotova (Astrakhan State Technical University, Astrakhan); E. V. Shirinkina, N. R. Khadasevich (Surgut State University, Surgut)
Theoretical and methodological foundations of the study of the patterns of functioning and development of industrial sectors in the context of the Fourth Industrial Revolution
The fundamental transformations that have engulfed the industrial sector of the world economy under the influence of the fourth industrial revolution actualize the need for a deep scientific understanding of the patterns of functioning and development of industries in new technological and socio-economic realities. This study is devoted to the systematization and development of the theoretical and methodological foundations of the analysis of industrial sectors in the context of the challenges and opportunities of Industry 4.0. A retrospective analysis of the evolution of scientific ideas about the determinants and patterns of industry dynamics has been carried out, and the features of the current stage associated with digitalization, networkization, and industrial servitization have been identified. A conceptual model of the industry functioning as a dynamic sociotechnical system integrating material, information and cognitive processes is proposed. The growing role of knowledge, innovation, and dynamic abilities as drivers of competitiveness in Industry 4.0 is substantiated. A methodological approach to the study of industry ecosystems based on a comprehensive analysis of technological, economic, institutional and socio-cultural factors has been developed. A typology of models for the organization of industrial ecosystems is proposed according to the criteria of structure, coordination mechanisms, ways of creating and distributing value. The potential and limitations of network, platform, and hybrid organization models in various industry contexts are revealed. An integral indicator of the level of digital maturity of the industry has been developed, aggregating metrics of digitalization of business processes, technological equipment, development of digital competencies, and involvement in digital ecosystems. Its approbation was carried out using the example of priority industries in Russia. Significant cross-industry and intra-industry differentiation in terms of the level of digital transformation due to technological, market and institutional factors has been identified. The results obtained develop the theoretical and methodological foundation for the study of industrial sectors in the context of the fourth industrial revolution and are of practical importance for substantiating the priorities of sectoral policy aimed at accelerating digital transformation and strengthening the competitiveness of domestic industry.
Keywords: industrial sectors; the fourth industrial revolution; Industry 4.0; digitalization of industry; innovative ecosystems; dynamic capabilities; digital maturity; competitiveness.
L. K. Babayan, E. I. Moskvitina, A. A. Tatarnikov (Financial University under the Government of the Russian Federation, Moscow)
Master planning as a tool for developing industrial and production potential of regions
The need to study master planning as a tool for developing the industrial and production potential of Russian regions is due, on the one hand, to the insufficient study and validity of the corresponding possibilities in the scientific literature; on the other hand, to the growing interest in Russia in master planning in general as a tool that has become widespread in the practice of managing spatial and territorial development in foreign countries. Based on the analysis of scientific literature, the authors found that industrial and production potential as a scientific category does not have a single approach to interpretation, which may be an obstacle to determining the appropriate tools for its development, including justification of the role of master planning as a separate tool. The paper clarifies the essence and structure of the industrial and production potential of the region. Based on an in-depth analysis of the national standard of master plans, the role of master planning as a tool for developing individual subsystems of the industrial and production potential of the region is substantiated. Using SWOT analysis, the role of master planning as a tool for developing the industrial and production potential of regions as a single system of elements and cooperative ties between them is substantiated.
Keywords: master planning; master plan; industrial and production potential; industry; industrial regions; territorial development; regional economy; strategic planning.
N. V. Kravchenko (HSE University, Moscow)
Factors in the formation of consumer experience in the process of «last mile» delivery in the context of Russian e-retail
The rapid development of e-commerce and increasing competition among online retailers are forcing companies to pay more and more attention to the service aspects of interaction with the consumer. One of such aspects in the context of digital commerce is delivery. This article is devoted to a review of existing literature on the topic of consumer experience at the stage of «last mile» delivery in the context of e-retail. The key constructs are described and the main factors influencing the formation of consumer experience at this stage are highlighted. The article provides an overview of the delivery market in the Russian Federation, as well as its features and specifics. Based on the analyzed literature, promising areas for future research in this area were formulated.
Keywords: customer experience; last mile delivery; e-commerce; customer satisfaction.
V. V. Perskaya, V. L. Abramov, D. E. Morkovkin, A. V. Gurnak, E. A. Pondo (Financial University under the Government of the Russian Federation, Moscow); Sh. Niyazbekova, M. Gordova (Financial University under the Government of the Russian Federation; Moscow Witte University, Moscow)
Mechanisms of international trade in technologies and development of cooperation in the scientific and technical sphere in the context of global technological transformation
This comprehensive study demonstrates a fundamental transformation of the mechanisms of international trade in technologies under the influence of global geopolitical changes and digitalization of the economic space. The analysis reveals a fundamental restructuring of traditional models of technological exchange, characterized by the transition from the dominance of developed countries to multipolar interaction structures and the formation of regional cooperation blocs. The results of the study of the dynamics of Russian participation in international trade in technologies indicate qualitative changes in the structure of technology flows. The export of Russian technologies demonstrates steady growth from $ 0,8 billion in 2020 to $ 1,5 billion in 2024, while reducing import dependence from $ 2,1 to $ 1,2 billion. A fundamental achievement is the transition from a negative trade balance (–1,3 billion dollars in 2020) to a positive indicator (+0,3 billion dollars in 2024), which reflects the increased competitiveness of domestic technological solutions. The study identifies four main forms of international technological exchange: research cooperation in the field of science and technology, distribution of technological data through the sale of patents and licenses, technical support to specific countries, and the provision of engineering and consulting services. An analysis of regional models of technological cooperation shows the formation of specialized blocs: BRICS focuses on artificial intelligence and digital technologies (trade volume of 45,2 billion dollars), the EAEU develops mechanical engineering and information technology (12,8 billion dollars), and the SCO specializes in transport and communication solutions (23,6 billion dollars). The key trend is the fragmentation of international trade in technology, which has arisen as a result of accumulated contradictions between the largest participants in the global technological exchange. Losses for countries integrated into international technological chains can reach 5 % of gross domestic product, creating incentives to search for alternative cooperation mechanisms. The COVID-19 pandemic has catalyzed the transfer of production capacities and the regionalization of technological flows, significantly affecting the architecture of international technological interaction. The practical implementation of the updated Strategy for Scientific and Technological Development of Russia provides for the formation of a model of international interaction aimed at protecting national interests while developing mutually beneficial cooperation with constructively minded states. Priority areas are digital technologies (partnership with China, India, Iran), energy solutions (cooperation with Belarus, Kazakhstan, Uzbekistan), biotechnology (interaction with Brazil, South Africa, Egypt) and space technologies (projects with India, China, UAE).
Keywords: international trade in technology; scientific and technological cooperation; technological transformation; global value chains; technological sovereignty; innovation systems; intellectual property; regional integration; digital technologies; technology transfer; international standards; technological security.
A. Zh. Zubets (Financial University under the Government of the Russian Federation, Moscow)
State regional industrial policy of China: successful case of Guangdong province
The article analyzes various instruments of state regional policy for the development of industry in China. The most effective sets of instruments used are identified. The prospects for their further use are assessed. This work is also important due to the high potential for using individual instruments in domestic industrial policy.
Keywords: labor productivity; industry regional project; state regional industrial policy.
V. N. Nezamaikin (Russian State University for the Humanities, Moscow); D. E. Morkovkin, M. M. Basova, Ch. V. Kerimova, M. Gordova (Financial University under the Government of the Russian Federation, Moscow); D. S. Shikhalieva (MIREA – Russian Technological University, Moscow); S. S. Gusev (Russian State Agrarian University – Moscow Agricultural Academy named after K. A. Timiryazev, Moscow)
Methodology for the formation and development of the industrial production resource base in the context of structural transformation of the economy and technological modernization
This paper presents a comprehensive study of the methodological foundations for the formation of the industrial production resource base during the period of intensive structural transformation of the Russian economy. The author's approach is based on the integration of classical theories of economic cycles with modern concepts of production resource management in the context of the transition to new technological structures. The study reveals critical aspects of resource flow optimization, including an analysis of the dynamics of industrial production, which in 2024 achieved a growth of 4,6 % with the outpacing development of manufacturing industries by 8,5 %. A feature of the presented methodology is the consideration of the principles of the circular economy and import substitution mechanisms as key factors in the formation of an independent resource base. The work demonstrates the need to create adaptive resource management systems capable of providing a flexible response to technological challenges and changes in market conditions. The results of the analysis of 177 new production facilities launched in 2024 with a total investment of 701.4 billion rubles confirm the relevance of developing methodological tools for the effective management of resource processes at all levels of the industrial system. The paper also considers the issues of digitalization of production processes and the introduction of Industry 4.0 elements as drivers of increasing the efficiency of resource use. The role of state industrial policy in stimulating the creation of high-tech industries and the formation of competitive industry clusters is studied. Scientific novelty lies in the development of an integrated approach to the formation of a resource base that takes into account the relationship between structural transformations and technological modernization with mechanisms for ensuring economic security and sustainable development of the industrial complex of Russia.
Keywords: resource base; industrial production; structural transformation; technological modernization; management methodology; production resources; technological structures; import substitution; circular economy; industrial policy; innovative development; digital transformation.
T. M. Tokmurzin, E. V. Razumova (Financial University under the Government of the Russian Federation, Moscow); N. A. Almerekov (Kazakh-German University, Almaty, Republic of Kazakhstan)
Overcoming the difficulties of industrial production of domestic agricultural machinery - the basis for ensuring Russia’s food security
The article examines the challenges of ensuring the technical independence of the agro-industrial complex of the Russian Federation and analyzes key measures of state support for agricultural engineering. The imbalance between the supply and demand of domestic agricultural machinery has been identified, its main causes have been identified and proposals have been formulated to eliminate it.
Keywords: technological sovereignty; food security; agricultural engineering; government support; subsidies.
A. O. Slavyanskiy (MIREA-RTU, Moscow); E. R. Zhdanov, O. S. Kharina, R. A. Yafizova (Moscow Financial and Industrial University «Synergy», Moscow)
Digital twins technology in the design of on-board computing systems
The design methodology of on-board computer systems using digital twin technologies is considered in terms of automating the procedure for building models of complex technical systems, developing methods for representing general mathematical objects of the system, forming a methodology for computational experiment to obtain information necessary for creating on-board complexes. Virtual reality technologies make it possible to control by modeling a virtual object, which is proposed to consider space-based onboard complexes currently being modernized.
Keywords: оn-board computing system; spacecraft; digital twins; computational experiment; virtual reality.
I. V. Skvortsova, Yu. R. Nurulin, A. G. Somov (Peter the Great St. Petersburg Polytechnic University, Saint Petersburg); M. Yu. Nurulin (Special Technological Center LLC, Saint Petersburg)
The impact of artificial intelligence technologies on management decision-making methods
The impact of artificial intelligence (AI) technologies on management decision-making methods is analyzed. The main stages of the decision-making process are considered, starting from problem identification and ending with monitoring the implementation of decisions. A comparative analysis of classical management models (Peter Drucker's model, the Shewhart-Deming management cycle) and the modern concept of the «DIKW Pyramid» in the context of AI integration is carried out. Key AI methods and tools used at various stages of the management process are presented, including big data processing, machine learning, contextual analysis and evolutionary algorithms. The article contains statistical data on the rate of AI implementation in management activities, showing an increase in decision-making efficiency by 30–50 % in organizations using intelligent systems. Particular attention is paid to the impact of AI on the automation of data analysis, forecasting and decision-making processes.
Keywords: artificial intelligence; management decisions; digital transformation; machine learning; big data; DIKW pyramid; automation.
I. N. Makarov, T. V. Shchukina (RANEPA, Moscow)
Theoretical and bibliographical study of the concept of «life cycle contract»
The concept of «life cycle contract» is studied. International and Russian experience of use is analyzed. The volume of the world market for contract life cycle management is assessed. The industry prevalence and structure of this concept are studied
Keywords: life cycle contract; structure; industry prevalence; procurement.
A. G. Somov, A. A. Sedyakina, O. T. Ergunova, A. A. Ivaschenko (Peter the Great St. Petersburg Polytechnic University, St. Petersburg)
Digital transformation of social and labor relations in megacities: expert analysis and forecasting algorithms
Digitalization is a key driver of the transformation of the labor market in megacities. Within the framework of new industrialization, digital technologies, including blockchain, smart contracts, and neural network solutions, are changing traditional mechanisms of interaction between employees and employers. Despite the active implementation of digital technologies in socio-labor relations in megacities in the context of new industrialization, their impact, prospects, and potential consequences remain insufficiently studied. In conditions of global competition and technological leadership, the key participants in labor relations – employees and employers – face the necessity of transforming existing interaction mechanisms. The article presents the results of a qualitative empirical study aimed at identifying conditions, barriers, and opportunities for the digital transformation of socio-labor relations in the context of the urban economy. The purpose of the study was to examine how digital technologies and new forms of contracts (such as electronic agreements, smart contracts, blockchain platforms) can reduce transaction costs and increase the efficiency of labor management. The methodological basis is built upon 28 semi-structured in-depth interviews with experts from various sectors, including human resource management, labor economics, digital transformation, public policy, and corporate governance. The experts were selected based on their practical experience (minimum 2–3 years) in implementing digital solutions in labor relations. The data collection process was carried out from February to March 2025 and followed a standardized protocol to ensure thematic consistency and ethical compliance. The interview questions were organized into five main thematic blocks: general perception of digitalization, barriers to implementation, tools for reducing transaction costs, motivational readiness of employees, and future policy recommendations. The results showed that approximately 85 % of respondents assessed the level of digitalization in their organizations as average or above average, while 45 % noted only partial or selective implementation. The most widely used technologies include electronic document management, corporate HR portals, AI-based chatbots, and digital work monitoring systems. However, the actual use of blockchain and smart contracts remains limited to pilot experiments. The main identified constraints include legal gaps (especially in labor legislation for freelancers and platform workers), high implementation costs, limited digital literacy among older employees, and insufficient institutional incentives. The study also highlights the varying levels of organizational and sectoral readiness: from advanced IT-driven ecosystems to highly conservative industries with limited infrastructure. The study also presents a framework for building a neural network model for managing socio-labor relations in megacities. A multi-stage methodology for selecting and pre-processing parameters is presented, covering data normalization, correlation analysis, indicator optimization, and pilot testing. Overall, the study demonstrates that the digitalization of labor relations is not only a technological shift but also a complex socio-institutional transformation. The results emphasize the importance of aligning legal frameworks, corporate training programs, and digital infrastructure with the changing nature of employment in smart cities. The proposed methodology and findings can serve as a basis for future research in the field of labor policy based on AI and digital workforce management.
Keywords: social and labor relations; megacities; digitalization; blockchain; smart contracts; neural network technologies; labor market; skills portrait; digital economy.
S. A. Polevoy (Financial University under the Government of the Russian Federation, Moscow)
Transformation of HR practices in the era of digitization: an integrative approach to managing human capital in the context of a VUCA world
The modern labor market is undergoing fundamental transformations under the influence of digitization, globalization, and pandemic shocks, which necessitate fundamentally new approaches to managing human capital. The study focuses on analyzing the effectiveness of integrative HR strategies based on agile methodologies and predictive analytics in conditions of a highly turbulent business environment. The research methodology employs a comprehensive approach that combines quantitative methods (structured surveys, multivariate regression analysis) with qualitative tools (series of in-depth interviews, focus groups) to ensure data triangulation. The empirical base was composed of 127 organizations of various sizes and industry affiliations operating in the Russian market. The results demonstrate a statistically significant correlation between the degree of digital maturity of the HR function and key business indicators (r = 0,67; p < 0,01), identify critical factors for the successful implementation of integrative talent management models (organizational culture flexibility, technological readiness, the competency profile of leaders), and justify the benefits of multichannel personnel development systems, which provide a 23,5 % increase in productivity compared to traditional formats. The theoretical significance of the work lies in the development of conceptual foundations for adaptive HR management in a VUCA world, while its practical value is in the creation of a validated methodology for assessing the effectiveness of HR transformation applicable across various organizational contexts.
Keywords: digital HR transformation; integrative models; predictive HR analytics; adaptive talent management; organizational resilience.
I. A. Volkova, E. Yu. Legchilina (Omsk State Transport University, Omsk)
The role of the knowledge economy in ensuring sustainable development of the region
In the context of digitalization, technological changes and demographic challenges, the role of education is only increasing and has a positive effect on the long-term development of the territory. One of the main factors influencing the sustainable development of the region is the demographic factor. Maintaining the balance of the demographic situation is possible with a comprehensive consideration of demographic trends in strategic planning with priority on the working-age population, and the development of the education system will contribute to maintaining the economic potential of different age groups of the population of the Omsk region.
Keywords: demographic situation; education; knowledge economy; sustainable development of the region; Omsk region.
A. V. Shchepotyev, N. A. Sycheva (Tula State University, Tula); V. V. Naumov (Moscow University of the Ministry of Internal Affairs of the Russian Federation named after V. Ya. Kikot, Moscow); E. V. Shelispanskaya (Tula State Pedagogical University named after L. N. Tolstoy, Tula); T. A. Safonova (Academy of Management of the Ministry of Internal Affairs of the Russian Federation, Moscow)
The necessity of carrying out costly nature-protection measures as informal company obligations
Modern corporate practice demonstrates a paradoxical situation: companies voluntarily assume significant financial commitments to environmental protection despite the absence of direct legal compulsion. This study analyzes the mechanism of forming informal environmental commitments and their influence on corporate strategy. Using panel data from 2,847 companies across various industries for the period 2020–2024, we examined the relationship between voluntary environmental initiatives and the long-term financial stability of organizations. The methodology includes panel data regression analysis, content analysis of corporate reporting, and expert interviews with top management representatives. The results show that companies investing over 3,2 % of their revenue in environmental programs experience an increase in their ESG rating by 24,6 points and a decrease in the cost of capital by 0,8 percentage points. A nonlinear relationship was observed between the volume of environmental investments and market capitalization: the effect becomes statistically significant when the threshold of 2,1 % of revenue is exceeded. Institutional investors demonstrate a willingness to pay a premium of 12,4 % for shares of companies with high environmental ratings. The study reveals that informal environmental commitments function as a signaling mechanism for the quality of corporate governance and long-term strategic orientation. The data obtained indicate a transformation of environmental investments from an expense item into a strategic asset, creating competitive advantages through reputational effects, reduced regulatory risks, and access to green financing.
Keywords: corporate environmental responsibility; informal obligations; ESG investing; voluntary environmental disclosure; sustainable development; environmental expenses; green financing.
Sh. A. Osmanov, V. V. Klyuy, D. E. Zavyalov (Saint-Petersburg State Fire Service University of EMERCOM of Russia, Saint-Petersburg)
Algorithm for decision support for the use of robotic systems for emergency responsibilities in metallurgical production
The paper analyzes scientific research on the development of scientific and methodological tools for the use of robotic systems to eliminate emergency situations in metallurgical industries. Based on the results, it was concluded that such research is currently absent. Meanwhile, the features of such industries, namely: high temperatures, the use of a number of chemical components, complex technological processes and proximity to residential buildings and water bodies give rise to risks of emergency situations. The article develops an algorithm for supporting decision-making on the use of robotic systems to eliminate emergency situations in metallurgical industries, reflecting the main stages of emergency response and taking into account the specifics of the use of robotic systems. The implementation of the developed algorithm in the activities of the daily management bodies of the RSChS and emergency response managers will allow more efficient use of robotic systems to eliminate emergency situations in metallurgical industries and, as a result, minimize material and social damage. As part of the areas of further research, a software implementation of this algorithm is proposed, which will serve as the basis for the development of appropriate decision support systems.
Keywords: algorithm; decision making; support; robotics; robotic systems; liquidation; emergency situations; metallurgical production.
E. S. Anisimova (Elabuga Institute of Kazan Federal University, Elabuga)
Fuzzy modeling of signature dynamics using the method of potentials for biometric authentication
Biometric authentication methods based on handwritten signature dynamics are relevant for ensuring information security. However, existing methods face challenges in accounting for intra-class variability of genuine signatures and inter-class similarity between genuine and forged samples, which reduces recognition accuracy. This work proposes a novel recognition method based on fuzzy logic and the method of potentials. Fuzzy logic allows modeling the uncertainty associated with the natural variability of signature writing, such as changes in speed and pressure during the writing process. The method of potentials provides a compact and informative representation of reference samples, considering the distribution of feature values in the training set. The algorithm includes data collection from a graphics tablet, extraction of dynamic features (area of the figure bounded by the envelope of the discrete function, fuzzy number of local maxima, estimation of fuzzy increase/decrease, relative length of increasing segments, sequence of speeds, and angles between vectors), formation of reference templates, and comparison with a new signature using an individual threshold. Experiments conducted on the MCYT_Signature_100 database, containing 5000 signature samples from 100 users (25 genuine and 25 forged for each user), demonstrated the high effectiveness of the proposed method: Equal Error Rate – 0,36 % when using 20 samples for training. Comparison with methods based on Hidden Markov Models, Fourier descriptors, and histogram features confirmed the advantage of the developed approach. Further research will be aimed at increasing the signature database, investigating new features (acceleration, jerks, etc.), developing an adaptive learning system, and integration with other biometric methods.
Keywords: dynamic handwritten signature recognition; fuzzy logic; potential method; biometric authentication; information security.
E. I. Voronova, I. A. Bartoshevich, V. V. Suryadnov (Financial University under the Government of the Russian Federation, Moscow)
Features of the use of master planning in order to ensure the sustainable development of industrial cities
The research is devoted to the role of master planning in ensuring the sustainable development of industrial cities in Russia. The authors analyze the integration of ESG factors into spatial development strategies, considering the master plan as a tool to overcome specific challenges: single-industry dependence, environmental degradation, social polarization, and infrastructure obsolescence. Based on the analysis of 12 master plans of cities, differences in accounting for the principles of sustainability have been identified. The results show that the new master plans (developed after 2024, taking into account the National Standard of VEB.Russian Federation) actively include ESG approaches, whereas early versions focus on economic diversification without systemic solutions to environmental and social problems. The need for a balance between industrial modernization, environmental safety and quality of life is emphasized.
Keywords: master planning; strategic planning; sustainable development; industrial cities; ESG factors; spatial development.
V. N. Alferov, N. Sh. Kremer (Financial University under the Government of the Russian Federation, Moscow); A. A. Tagibova (MGIMO, Moscow)
Modern trends in the management of industrial enterprises in the conditions of digital transformation
The article studies the features of management of industrial enterprises in the conditions of digital transformation, global competition and economic instability. On the basis of correlation analysis and expert survey the key factors of management efficiency are identified, among which the digitalization of business processes, flexibility of organizational structures and human capital development are of the greatest importance. Promising directions for improving the management systems of industrial enterprises have been identified, taking into account the integration of artificial intelligence, industrial Internet of things and innovative approaches to the organization of production processes.
Keywords: industrial enterprise; adaptive management; digital transformation; artificial intelligence; industrial internet of things; shop-floor structure; strategic management.
R. O. Kiselyov (V. I. Vernadsky Crimean Federal University, South-Eastern Academy (branch), Simferopol)
Process approach to assessing the innovative activity of an organization: theoretical and methodological foundations
The article presents a theoretical and methodological analysis of the process approach to assessing the innovative activity of an organization. The research is aimed at solving an urgent scientific problem related to the insufficient development of methodological tools for assessing the innovative activity of enterprises in the context of digital transformation of the economy. The authors conducted a comprehensive analysis of the evolution of concepts of innovative development from resource to process and network models. An original system of process-oriented metrics has been developed that allows assessing innovative activity at micro-, meso- and macro-levels. A conceptual model of the interaction of innovative potential and innovative activity has been proposed, taking into account the influence of digital transformation and a multifactorial environment. The scientific novelty of the research lies in the development of an integral process-oriented approach to assessing innovation activity, combining the systematic nature of theoretical analysis with the practical orientation of methodological tools. The practical significance is determined by the possibility of using the developed methodological apparatus for diagnosing the innovative development of organizations, industries and regions, as well as for developing targeted measures of innovation policy. The results are valuable for researchers in the field of innovation economics, enterprise managers and public administration bodies involved in the development and implementation of innovation policy.
Keywords: innovation activity; innovation potential; process approach; assessment; digital transformation; metrics; conceptual model; innovation economy; innovation management; technological development.
O. G. Blazhevich (V. I. Vernadsky Crimean Federal University, South-Eastern Academy (branch), Simferopol); A. I. Zolotarev (Crimean branch of V. M. Lebedev Russian State University of Justice, Simferopol)
Digital Transformation as a Factor of Regional Economic Development: Assessment and Prospects for the Republic of Crimea
This article provides a comparative analysis of approaches to assessing digital transformation, analyzes the costs of developing the digital economy in Russia, and breaks down the structure of organizations' digital technology spending by type of economic activity. The article also presents the development and validation of a methodology for assessing a region's digital transformation using the Republic of Crimea as an example. The methodology includes the calculation of an integral digital transformation index (DTI) based on four components: infrastructure, business technologies, human capital, and digitalization of public services. Analysis of data for 2017–2022 revealed positive dynamics of DTI (growth from 0,30 to 0,61), but a significant lag behind the all-Russian indicators, especially in the adoption of technologies by business (0,50 vs 0,75). Using a comparative analysis of scientific approaches to assessing digital transformation, recommendations are substantiated for infrastructure development, business stimulation, and human capital development. A concept for the development of digital transformation in the Republic of Crimea until 2030 has been proposed, with an emphasis on the tourism and recreational complex, industry, and the agro-industrial complex. The results can be useful for government authorities in developing digitalization programs for regions.
Keywords: digital transformation; regional economy; integral index; Republic of Crimea; digital infrastructure; human potential; public services.
D. D. Burkaltseva, S. I. Polskaya, Candidate of Economics (V. I. Vernadsky Crimean Federal University, Simferopol)
Synergy between the tourism and recreational complex and industry of the Republic of Crimea: a mechanism for digital cooperation and innovative development
This article presents a concept for synergistic interaction between the tourism and recreation industry and the industrial potential of the Republic of Crimea based on digital technologies and innovative solutions. A cooperation mechanism has been developed, including a digital interaction management platform, a supply and demand coordination system, and an innovative development model. Practical tools for realizing synergies are proposed through the creation of specialized production facilities focused on the needs of the tourism industry, the implementation of digital solutions for optimizing supply chains, and the development of a regulatory framework for intersectoral interaction. The research results are of practical value to government agencies, industrial enterprises, and entities in the tourism and recreation industry of the Republic of Crimea.
Keywords: tourism and recreation complex; industry; Republic of Crimea; digital transformation; intersectoral synergy; innovative development; cooperation; digital platform.