π-Economy

RAR RUS 7-24 57190260598 0000-0001-6888-1981 V.I. Vernadsky Crimean Federal University Kirilchuk Svetlana skir12@yandex.ru

Prospekt Vernadskogo 4 , Simferopol, Republic of Crimea, 295007

Tashenova Larisa Nalivaychenko Ekaterina Existential focus in the development of organizations in the transition to Industry 5.0 The purpose of the study is to show the impact of the existential approach on the development of organizations in the transition to Industry 5.0 and to identify strategies and practices that contribute to a better understanding and realization of human capital in the context of digital transformation. Research methodology: review and analysis of the theoretical body of scientific literature and content of theories and research related to existential focus in managing the development of organizations during the transition from Industry 4.0 to Industry 5.0, including works of philosophical, sociological, economic and managerial nature, discussing the relationship between the human factor and technological progress. The results of the study are as follows. The article examines the key aspects of digital transformation of organizations during the transition from Industry 4.0 to Industry 5.0 based on the principles of existential approach. The features of the evolution of digital transformation of organizations during the transition from Industry 4.0 to Industry 5.0 and the challenges they face are analyzed. The essence of the concept of “existential challenge” and its significance for modern organizations are considered. From the perspective of the basic principles of existential approach to the development of organizations, the actual characteristics of Industry 5.0, their digital transformation and its implementation are determined, highlighting the intellectual role of the reference university as a system integrator in the formation of digitalization of chains of specialized institutions in the regional industrial cluster of Industry 5.0. Practical examples of successful implementation of the concept of existential focus in breakthrough technologies of some countries and development strategies of some companies are studied and practical recommendations for organizations of the existential development process in Industry 5.0 are presented. A comprehensive study of the existential approach in relation to modern technological changes has made it possible to develop recommended measures of practical actions for organizations seeking to achieve sustainable viable development of the processes of the Industry 5.0 concept. Originality and contribution of the authors is a multidimensional comparative analysis, the essence of which is the comparison of general trends and unique global and Russian practices that can be useful to organizations in Industry 5.0. Based on the data obtained, practical recommendations were developed for organizations seeking to integrate an existential approach into their activities in the context of Industry 5.0. 10.18721/JE.17401 330.342 existential approach Industry 4.0/5.0 digital technologies breakthrough technological changes regional cluster industrial revolution https://economy.spbstu.ru/article/2024.108.1/ 01_Kirilchuk%2C-Tashenova%2C-Nalivaychenko.pdf

RAR RUS 25-52 Shepelin Gennady line75@yandex.ru Assessment and development of economic entities of water transport under conditions of digital transformation Objectives of the study. Digital transformation is a strategic imperative for economic entities in the Russian Federation seeking to succeed in a rapidly changing business landscape. The relevance of the presented study is due to its high significance “in order to solve the task of ensuring the accelerated implementation of digital technologies in the economy and social sphere”. The components of water transport of the Russian Federation in the shipping system of the country are considered. The structural and logical scheme of organizational, economic and managerial relations of economic entities of water transport in the shipping system of the Russian Federation is considered. The structure of the definition of economic entities as legal entity in accordance with the Civil Code of the Russian Federation is studied. The organizational and legal forms of economic entities in the Unified State Register of Legal Entities (USRLE) in accordance with the Civil Code of the Russian Federation are considered. An assessment of water transport organizations is carried out. The use of artificial intelligence technologies by industry is considered. An algorithm for digitalization of economic entities of water transport is developed. A diagram of a basic set of technologies for the digital transformation of economic entity of water transport is constructed. An algorithm for mitigating the risks faced by economic entities of water transport when implementing innovative technologies is proposed. Materials and methods. The article uses methods of systematization, economic analysis and generalization. The assessment of water transport organizations is carried out on the basis of statistical data presented on the website of the Federal State Statistics Service, in the statistical collections “Transport in Russia” and “Russian Statistical Yearbook”. Results. The highest level of water transport activity was recorded in 2021. The economic condition of water transport organizations is the best during the analyzed period. At the same time, the indicators characterizing the functioning of water transport are among the worst. To improve the level of functioning of water transport, it is necessary to increase, first of all, sea passenger turnover. Conclusions. The scheme of the basic set of technologies for digital transformation of economic entity of water transport includes adaptive production technologies, multi-agent technologies and technologies of human-centricity. The algorithm for leveling the risks faced by economic entities of water transport sector when implementing innovative technologies includes: risk identification; risk analysis and assessment; risk management activities; control of results and continuous monitoring. 10.18721/JE.17402 338 digital transformation innovative environment innovative technologies artificial intelligence economic entities water transport https://economy.spbstu.ru/article/2024.108.2/ 02_Shepelin.pdf

RAR RUS 53-67 Gileva Tatyana t-gileva@mail.ru Assessing the level of maturity of a territory's innovation ecosystem: methodological foundations and tools Models for assessing the level of digital maturity are widely used as a tool for justifying decisions on the development of organizations. Similar models exist in the field of assessing the maturity of ecosystems. However, there are much fewer of them, and in most cases, they do not take into account the characteristics of innovation ecosystems as an object of management. In addition, research in recent years has revealed many important aspects that determine the effectiveness of managing the creation of shared innovation value, which are not taken into account in existing models. Therefore, the goal of this work is to create a framework for assessing the level of maturity of the territory’s innovation ecosystem. The concepts of the ecosystem in general and the innovation ecosystem in particular, methodological approaches and models for organizing network interactions and role dynamics, and models for assessing the maturity of ecosystems were used as the methodological basis for the study. The article discusses the tasks and promising models of orchestration in terms of creating and distributing shared value as the core of the territory's innovation ecosystem. A canvas of the territory's innovation ecosystem is proposed. Groups of actors are identified, which, in addition to the components of the classical triple helix (science, business, government), are: entrepreneurship, integrated entities (consortia, clusters, platforms) and consumers as participants in the process of joint value creation. In the role landscape format, the relationship of actors with possible ecosystem roles is determined. A comparative analysis of approaches to constructing models for assessing the maturity of ecosystems was carried out. It is shown that the most common areas of assessment are: value proposition (target setting, products and services, monetization), actors, processes and formats of their interaction (network, platform, infrastructure), management (ecosystem orchestration). Taking into account the features of the innovation ecosystem (composition of actors, transfer gaps, models of coordination of interests, risks), an enlarged structure of the assessment model is proposed. The advantages of a modular approach to constructing a model for assessing the maturity level of a territory's innovation ecosystem in the format of a dynamic set of submodels are revealed. A composition of submodels is proposed for the enlarged blocks, and their brief description is given. The operationalization of submodels in terms of the formation of a system of evaluation indicators and corresponding scales is considered as directions for further research. 10.18721/JE.17403 338.49 innovation ecosystem of the territory overall value proposition actors orchestration role structure maturity level assessment model https://economy.spbstu.ru/article/2024.108.3/ 03_Gileva.pdf

RAR RUS 68-81 Tsetsiarynets Tatsiana System of indicators for assessing the investment provision of human capital (on the example of territorial-industrial projection of the Republic of Belarus) The in-depth study of the theoretical and methodological foundations and socio-economic nature of human capital formed by the inhabitants of rural areas has allowed us to conceptually justify the allocation of its specific form – agrarian, formed under the influence of the agricultural sector and integrating the rural population into a single community. The objective condition for sustainable development of the latter is the amount of financial resources allocated for the development of social infrastructure of rural areas, provision of social sphere, ecology. Compiling the stated positions of investment with the amount of self-financing and corporate costs for the formation and accumulation of human capital in the agrarian sector, it becomes possible to study the indicators reflecting the stages of its life cycle in correlation with the amount of socio-environmental investment. These circumstances determine the relevance and purpose of the study, which is to develop a methodological toolkit for analyzing the effectiveness of investment support for the formation, development, accumulation and use of human capital in the territorial and sectoral projection. The proposed approach to the analysis of investments in the development of agrarian human capital is based on the study of detailed evaluation markers, focusing the sequential study of all stages of its life cycle, which allows for in-depth analysis and identification of specific aspects affecting the effectiveness of socio-environmental investments. The presented system of indicators takes into account the correlation between the designated markers and investment volumes. A single and reliable source of statistical information, as well as the openness of the data allow minimizing the error of the results obtained. The proposed methodological approach is characterized by accessibility, simplicity and systematic evaluation studies. Its use contributes to the formation of a scientifically sound understanding of the state and dynamics of changes in investment efficiency and allows making timely practice-oriented operational and strategic management decisions. Practical testing of the methodological approach to the analysis and assessment of socio-environmental investments has allowed us to prove empirically that low rates of financing the formation, development, accumulation and use of human capital in the agrarian sphere limit the possibilities of its sustainable increase. This circumstance has a negative impact on the intensity of functioning of the rural economy. 10.18721/JE.17404 332.01 agrarian human capital socio-environmental investments methodological tools life cycle https://economy.spbstu.ru/article/2024.108.4/ 04_Teterinets.pdf

RAR RUS 82-94 Loginov Aleksandr Investigation of the relationship between national economy indicators and the scale of telecommunications infrastructure in making management decisions Recently, there has been a significant increase of interest in the study of the impact of economic indicators on telecommunications infrastructure, which is due to the rapid development of the digital economy and the need to optimize telecommunications networks. The topic of the study is relevant due to the accelerated digitalization and digital transformation of the economy and the need to optimize telecommunications networks to ensure sustainable economic growth. Telecommunications infrastructure plays a key role in the development of the information society, improving the quality of life and competitiveness of countries on the world stage. The assessment of the impact of economic indicators on telecommunications infrastructure allows us to develop effective management decisions to implement the development strategy and attract investment in this sector. The article assesses the impact of indicators of the national economy on telecommunications infrastructure. Key economic parameters, such as GDP per capita, inflation rate, unemployment rate, amount of investment in infrastructure, level of competition, tariffs for telecommunication services, innovative technologies, government subsidies and support, level of urbanization and access to financial markets are considered. A linear multifactor regression model is proposed to quantify the impact of each of these parameters, providing justification for management decisions. An example of calculating the impact of economic parameters on telecommunications infrastructure for different countries is given. The study highlights the importance of a management approach to estimating economic parameters affecting telecommunications infrastructure and the need to integrate different methods and models to achieve optimal results in a rapidly developing digital economy. Further research may be aimed at an in-depth study of the impact of specific innovative technologies on the management decision-making process in telecommunications infrastructure, as well as the development of more complex models, that take into account non-linear dependencies and relationships between economic parameters. In addition, it is advisable to conduct additional empirical studies using data on a larger number of countries and regions to improve the accuracy and reliability of the estimates. 10.18721/JE.17405 621.319.3 management decisions national economy telecommunications telecommunications infrastructure regression analysis https://economy.spbstu.ru/article/2024.108.5/ 05_Loginov.pdf

RAR RUS 95-108 Samaybekova. Zeynegul Stages of the process of strategic human resource management in innovative enterprises In today's business world, where intense competition and technological changes are changing the paradigms of innovative enterprises, strategic human resource management has become a key success factor. Effective use of human resources turns from a task of operational necessity into a strategic advantage that can determine the future of the company. In this regard, the stages of the process of strategic human resource management are reviewed and analyzed, contributing to effective interaction with the dynamics of the modern labor market and ensuring the competitiveness of innovative enterprises in the long term. During the research process, an extensive review of scientific and practical sources was carried out, using the works of Russian and foreign scientists concerning the analysis of the theory, methodology and model of strategic human resource management in the innovative development of enterprises, identifying its key principles and aspects. Based on the results of generalization of the theoretical base, the author's interpretation of strategic human resource management in the innovative development of enterprises and strategic planning in the system of strategic personnel human resource is given. The main stages of the strategic human resource management process are identified, where at the strategic planning stage a strategic analysis is carried out, strategic goals and plans for the development of human resource management strategy are determined. The elements of strategic human resource management are analyzed, identifying the relationships and the influence of each component on the achievement of strategic goals of an innovative enterprise. A matrix of OTSW-analysis of strategic human resource management is proposed to assess the opportunities, threats, strengths and weaknesses of an enterprise in innovative development. The stage of the process of implementation of the human resource management strategy, aimed at effective implementation of developed strategy in the practice of an innovative enterprise and the stage of the process of strategic monitoring and control as a continuous process of tracking and evaluating the implementation of the strategy, necessary to ensure compliance of actual actions and results with the strategic goals of an innovative enterprise are described. The study emphasized the importance of the stages of the strategic human resource management process, demonstrating their value as an effective tool for achieving the mission of an innovative enterprise, providing competitive advantages and successful development in the market. 10.18721/JE.17406 331.1 strategic human resource management strategic planning strategic analysis human resource management strategy innovative development innovative enterprises https://economy.spbstu.ru/article/2024.108.6/ 06_Samaybekova.pdf

RAR RUS 109-123 Tikhonov Dmitry tihdm@rambler.ru Kalinina Olga olgakalinina@bk.ru Getmanova Galina Turovskaya Maria Features of business modeling in innovative industries he main publications related to business modeling appeared at the turn of the century. They focused on establishing connections between ways of doing business and sources of income. The expansion of such sources, caused, in particular, by the emergence of new information technologies, required a revision of approaches to all business processes – primary and auxiliary. In addition to the modification of traditional industries, new ones based on innovative technologies began to develop actively. Business modeling allowed startup founders to look at a nascent business as a whole, taking into account and coordinating its main elements. Now, many innovative companies, on the example of which business modeling was formed, have become global giants. As a rule, the development of such companies is associated with the fourth technological revolution and is based on information and communication technologies (ICT). However, for some industries, ICT is a supporting element of activity, and the production itself requires the involvement and processing of a large number of material resources, as, for example, for pharmaceuticals. As a result, information and traditional technologies are a complex symbiosis that affects all aspects of doing business. The combination of production and information technologies in various industries forms a variety of successful business models. Nevertheless, their industry differences have not yet been comparatively analyzed. The purpose of the study is to identify both general trends in the transformation of business model elements in innovative companies and their differences. To answer the question about the nature of business models of innovative companies, the article provides reviews the main concepts of such models. Because this approach has gone through several stages and currently there are more than a hundred variants of what the authors call “business model” in the literature, the article proposes approaches to their classification according to such features as the product offered to the market and the monetization model. Based on the classification, the article analyzes the formation and transformation of business models, taking into account the realities of new markets, the specifics of interaction with suppliers, customers, institutional agents, etc. The article is based on the analysis of scientific publications and a statistical review. The analysis is based on the experience of both leading foreign companies and domestic innovative enterprises in such areas as ICT, biotechnology, logistics. It is concluded that some trends are similar, such as expansion of cooperation and the inclusion of new entities from non-core industries in the value chain. It is noted that some industries are still looking for scalable models that would allow all market participants to move to stable business management. 10.18721/JE.17407 338.01.36 Tikhonov D.V. Kalinina O.V. Getmanova G.V. Turovskaya M.S. (2024) Features of business modeling in innovative industries. π-Economy 17 (4) 109–123. DOI: https://doi.org/10.18721/JE.17407 https://economy.spbstu.ru/article/2024.108.7/ 07_Tihonov%2C-Kalinina%2C-Getmanova%2C-Turovskaya.pdf

RAR RUS 124-138 Lebedeva Anna Budrina Elena Rogavichene Larisa 57194408404 0000-0003-0970-3143 East-Siberian State University of Technology and Management Bulatova Nadezhda bulatova_nad@mail.ru Methodology for assessing the innovation potential of the transport and logistics complex The study is aimed at developing methodological tools for assessing the innovation potential of transport and logistics complex (TLC), which is the basis for forming strategic decisions regarding innovative development and increasing the competitiveness of transport and logistics structures of the country. Based on the analysis of the effects from the introduction of innovations in the structure of technologically advanced TLCs, the criteria of innovativeness and types of TLCs have been identified, which makes it possible to assess the level of object’s lagging behind the leaders and the scale of the required innovative transformations. Because of a comparative analysis of existing methods and methodologies for assessing the objects’ potential, some solutions applicable to the TLC assessment were identified, taking into account the specifics of its functioning and its difference from such objects as an enterprise or a region. At the same time, at least three aggregated approaches to the assessment of innovation potential were compared: resource, internal and resultant, which allowed to achieve a higher reliability of the developed methodology. Based on the integrated approach, a multilevel decomposition of the TLC innovation potential was made on four components: resource, management, performance, infrastructure. The authors also identified components and determined the assessment indicators of each of the components, which are assessed in the framework of the methodology developed by the authors, representing the synthesis of the elements of the studied methods. According to the methodology for assessing the TLC innovation potential by means of graphic visualization, analogy method and multidimensional scaling, the provision of the complex with resources for innovative development and infrastructure capabilities for the introduction of innovative technologies are displayed. Unlike the existing universal tools for assessing the objects’ potential, the methodology takes into account the specifics of transport and logistics structures and the significance of the evaluation elements, as well as the need to assess the infrastructural component of the complex potential. The results of approbation of the methodology on the example of the Multipurpose Sea Cargo Complex Bronka (MSСC Bronka, St. Petersburg, Russia) with the use of systematization, interviewing, economic-mathematical and expert methods have not revealed any limitations in the use of the methodology. The tools presented in the work can be used to develop the strategy and policy of innovative development of TLCs of different types, scale and specialization. 10.18721/JE.17408 338,47:656.078.12 transport and logistics complex innovation criteria innovation potential infrastructure facility potential assessment tools technologies MSCC Bronka https://economy.spbstu.ru/article/2024.108.8/ 08_Lebedeva%2C-Budrina%2C-Rogavichene%2C-Bulatova.pdf

RAR RUS 139-152 Zhdanov Dmitrii djhdanov@mail.ru Intellectual capital of the enterprise: composition and priorities One of the main trends of the modern economy is the active use by businesses of digital technologies, artificial intelligence (AI), and other intellectual resources. In this regard, the purpose of this article was to detail the components that form the intelligence of a company, as well as the elements of individual intellectual capital (IC), which are most in demand in the intellectual economy. Initially, the work, based on the synthesis of theoretical views on the intelligence of a company, identified its main components, which included the intellectual resources of the company (its IC) and intellectual abilities (on the use of these resources and business positioning). After that, the two main components forming the IC of the company were specified: a) corporate IC; and b) individual IC of employees. The traditional task of the area under consideration is to determine the composition of the company's IC and estimate its value. The study proposes approaches to solving these problems, in particular, options for analytical representation of the cost of an company's IC. Increasing demands for the intellectual content of business, digitalization, and involvement of AI are changing the composition of current requests for the knowledge and skills of employees. In this regard, the possible composition of universal competencies that are in demand in a digital, intellectual environment is considered. Two main groups of requirements that determine the requests for such an employee were identified: the presence of digital hard-skills, as well as developed soft-skills. Next, we considered the elements of individual IC that can ensure the implementation of the noted competencies. The conducted comparative analysis made it possible to determine the two-way correspondence and mutual influence of the universal competencies of employees and elements of their individual IC. As a result, in the model of functioning of the intellectual economy enterprise (in the conditions of current information trends), one of the two main parts of the company’s IC was identified and structured – the relationship between skills and competencies of employees that provide the necessary parameters of the overall individual IC. The conducted research allowed us to comprehensively assess the range of competencies and abilities of an enterprise employee that are most in demand in the intellectual environment. 10.18721/JE.17409 330.1; 331.1; 338.2 intelligence enterprise human capital price competencies artificial intelligence https://economy.spbstu.ru/article/2024.108.9/ 09_Zhdanov.pdf

RAR RUS 153-178 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

Gaev Konstantin Methodology for assessing the digital maturity of an industrial enterprise and ecosystem based on dynamic coevolutionary potential The article discusses the main stages of digitalization of economic entities, including industrial enterprises and ecosystems, starting with automation, due to which routine tasks are removed from personnel and there is an opportunity to focus on more complex or creative processes, and ending with full digital transformation, which involves transformations at all levels of the economic entity’s work. As the object of the study, the authors considered industrial enterprises and ecosystems in the context of digitalization and digital transformation of the economy and industry. The subject of the study was the scientific and methodological tools for assessing the digital potential and digital maturity of industrial enterprises and ecosystems, as well as organizational and economic relations, arising in the process of its application. The purpose of the study was to develop a scientific and methodological approach for assessing the digital potential of an industrial enterprise and the coevolutionary potential of an industrial ecosystem, based on which it is necessary to propose a methodology for assessing the digital maturity of an industrial enterprise and ecosystem. To assess the digital potential and digital maturity of enterprises and ecosystems, methods of hierarchical complexing of integral indicators were used. The materials of the research were information from open electronic sources, statistical and scientific reports on the development of Russian industry, enterprises and ecosystems. In the course of the study, the following main results were obtained. The terminological apparatus was clarified in terms of the definitions of “ecosystem”, “industrial ecosystem”, “digital coevolutionary potential”, “digital maturity”. A scientific and methodological approach for assessing the digital potential of an industrial enterprise and the coevolutionary potential of an industrial ecosystem was presented. A methodology for assessing the digital maturity of an industrial enterprise and a methodology for assessing the digital maturity of an industrial ecosystem based on digital coevolutionary potential were developed. Various approaches to the concept of digital maturity of an enterprise as a cumulative assessment of digital potential and digital foresight were considered. For the developed methodology for assessing the digital maturity of an industrial enterprise, the results of its testing were given and the results of calculations of the digital maturity of the enterprise under the initial conditions, as well as when the initial data were changed. The stages of implementation of the methodology for assessing the digital maturity of the industrial ecosystem based on coevolutionary potential were outlined. 10.18721/JE.17410 330.322.012 digitalization digital potential digital maturity enterprises industrial ecosystems coevolutionary potential https://economy.spbstu.ru/article/2024.108.10/ 10_Babkin%2C-Mihaylov%2C-Shkarupeta%2C-Gaev.pdf

RAR RUS 179-192 Zabi Zabiullah Chingovo Carlean Development of the structure of the reference model for e-business The e-business reference model is a conceptual framework designed to assist organizations in strategic planning and implementation of digital business initiatives. Based on the model, a categorization is presented that reflects the various components to ensure e-business success, including business layers, digital strategies, customer segmentation, and key business objects. The study uses the Design Science Research approach. This approach facilitated the identification and selection of relevant theories and concepts from scientific publications, which were then used to develop and validate a reference e-business model. A digital strategy that is aligned with organizational goals and incorporates customer-centric approaches, data-driven decision-making, and integration of multiple platforms is critical to e-business success. Understanding customer segments across industries is essential to customize marketing strategies and improve customer satisfaction. Business objects such as digital products, revenue streams, key partnerships and resources are critical to business performance. Application components and technology infrastructure, including digital channels and customer relationship management systems, are critical to optimize service delivery and customer engagement. The e-business reference model is a comprehensive and structured framework that supports an organization through digital transformation. By leveraging digital strategies, understanding customer needs and optimizing business processes, organizations can achieve sustainable growth and competitive advantage. The model's emphasis on collaborative business analysis, virtual collaboration tools, and conceptual modeling techniques makes it highly effective in an increasingly digital environment. 10.18721/JE.17411 658.5 digital transformation reference model digital strategy customer segmentation business objects https://economy.spbstu.ru/article/2024.108.11/ 11_Zabi%2C-CHingovo.pdf