<?xml version="1.0" encoding="utf-8"?>
<journal>
  <titleid/>
  <issn>2782-6015</issn>
  <journalInfo lang="ENG">
    <title>π-Economy</title>
  </journalInfo>
  <issue>
    <volume>13</volume>
    <number>3</number>
    <altNumber> </altNumber>
    <dateUni>2020</dateUni>
    <pages>1-200</pages>
    <articles>
      <article>
        <artType>REV</artType>
        <langPubl>RUS</langPubl>
        <pages>7-26</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <scopusid>57190134394</scopusid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Novosibirsk State University</orgName>
              <surname>Lychagin</surname>
              <initials>Mikhail</initials>
              <email>lychagin@nsu.ru</email>
              <address>1, Pirogova str., Novosibirsk, 630090, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">“The fourth industrial revolution” in the system of subject categories</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">he work by W. Rostow in 1985 was the first study on the Fourth Industrial Revolution. Analysis of publication activity based on data from the Scopus citation system and the Russian Scientific Electronic Library (elibrary.ru) for 2011‒2020 shows researchers are significantly more interested in this topic. A study of abstracts and available full texts of publications shows that analysis of the distribution of this topic by branches of knowledge is the least developed field. Therefore, the goal of the article is to quantify the degree of penetration of the Fourth Industrial Revolution topic in the Scopus publications at the macro and micro levels of the ASJC classification. This goal includes four interrelated research tasks. The first task is to evaluate publications for 27 macro categories and their possible relationships. As a result, we obtained two 27×27 tables that show the absolute and relative distribution of publications by 27 macro categories and their paired relationships. The second task is an assessment for 15 micro categories included in the macro category “Business, Management and Accounting” and “Economics, Econometrics and Finance”. A 15×15 table with absolute and relative indices shows the distribution of publications in the selected 15 micro categories and their intersections. The third task is to evaluate publications for 334 ASJC micro categories without taking the intersections between micro categories into account. This resulted in identification of 94 micro categories that are out of the Fourth Industrial Revolution framework, and ranking of the remaining 210 categories according to the number of publications and the coefficients of penetration in the subject micro categories. The fourth task was to develop a method for finding papers at the intersections of various micro categories. The text presents 24 articles on management and other related micro categories that illustrate the created method. Discussion and directions for possible future research complete the article. The database includes 9810 publications indexed by Scopus, which in their titles, abstracts and keywords contained the phrases “fourth industrial revolution”, “4th industrial revolution” or “industry 4.0”. The author of the article personally did all the data extraction from Scopus and its processing from March 30 to April 3, 2020.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13301</doi>
          <udk>65.01</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>bibliometric analysis</keyword>
            <keyword>“Industry 4.0”</keyword>
            <keyword>terminology</keyword>
            <keyword>publication activity</keyword>
            <keyword>Scopus</keyword>
            <keyword>ASJC classification</keyword>
            <keyword>research trends</keyword>
            <keyword>new direction</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.1/</furl>
          <file>01_Lichagin.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>27-40</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Tereshko</surname>
              <initials>Ekaterina</initials>
              <email>ektereshko@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Rudskaya</surname>
              <initials>Irina</initials>
              <email>intro9@yandex.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Digital potential of the construction complex: concept, essence and problems of development</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The study of the formation and development of digitalization processes of the construction complex is quite relevant in accordance with global trends. The purpose of the research is to explore the issue of formation of the digital potential of the construction complex of the Russian Federation through a case study of its construction companies. The object of research is the construction complex. The subject of research is the digital potential of the construction complex. The methodological basis of the research was the method of statistical analysis, as well as the qualitative method. The article forms an evolutionary chain of development of the digital economy of industries and complexes: “formation of innovative potential – innovation process – formation of digital potential – digitalization – formation of the digital economy”. It is revealed that each stage of the presented chain is an integral part of the next one. We consider the gradual formation of the definition of “Digital potential of the construction complex”, and give the definition of the concept. Thus, the digital potential is defined as a set of machinery and technical equipment, information products, as well as qualified experts capable of using modern interface programs included in the BIM design for projects of digital modelling of buildings and structures in the form of a “digital twin” that is the basis of the digital design of building complexes at the regional level. We build an interconnected scheme of key construction production processes using cloud-based BIM-design technologies, and identify weak points which can include: 1) lack of an information product that would provide a merge and synchronization of the key construction processes; 2) qualification of personnel in accordance with modern trends in the construction industry, low proficiency in using the software or absence thereof; 3) the established system of building production “customer – contractor – subcontractor 1...n – the ultimate contractor”. The study revealed that the transition to digital modeling of the construction process, BIM design, will: eliminate the weak points in construction production; systematize the production process at enterprises; significantly reduce the construction time. Moreover, we perform an assessment of the level of development of the digital potential of Russian construction complex, and support it by a list of selected indicators of the state statistics.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13302</doi>
          <udk>338.49</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>digital potential</keyword>
            <keyword>digitalization</keyword>
            <keyword>construction complex</keyword>
            <keyword>BIM-design</keyword>
            <keyword>Russian Federation</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.2/</furl>
          <file>02_Tereshko%2C-Rudskaya.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>41-56</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <scopusid>57212400451</scopusid>
              <orcid>0000-0002-9226-9829</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Russian state academy of intellectual property</orgName>
              <surname>Ustinova</surname>
              <initials>Liliya</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Alekseeva</surname>
              <initials>Natalia</initials>
              <email>natasha-alexeeva@yandex.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Structuring definitions of the terminological apparatus of research in the field of intellectual capital</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The ability of intellectual resources to form capital, generate and promote new knowledge in the economy, in the sphere of production and consumption calls for a more in-depth study of their role in the economy and industrial production. The development and creation of new technology helps to improve the quality of life of the population. The formation and use of intellectual capital in an innovative type of economy activates high-tech developments, increases the effectiveness of the commercial use of intellectual property. The intellectual abilities of individuals, the desire for continuous development, professionalism, and creative initiative contribute to the continuous updating of technologies and the construction of a new society based on innovation. The value created by companies is increasingly generated by intangible assets, which are understood as knowledge, know-how, innovation potential, license agreements, organizational structure and culture, and other resources for the company’s development. The ability of an enterprise to manage these types of assets is critical for its prospects in the knowledge economy. In the scientific literature, the authors distinguish various definitions of intellectual capital. A number of definitions of intellectual capital and its structural elements is growing, making it difficult for specialists to discuss them due to the fragmented terminological apparatus. This determines the relevance of this work. The aim of the study is to identify the most significant definitions of IC that most effectively affect the development of a successful business, as well as to optimize and structure of the existing definitions to streamline the terminological apparatus of research in the field of intellectual capital. The paper shows that in the ranking of the most frequently used terms, human capital, structural capital and relational capital occupy the top positions. We give alternative definitions for them and disclose the modern concepts of digital capital. We propose a classification of the types of intellectual capital taking into account the dominant influence on the effectiveness of the development of a competitive business. The results reflect the role of know-how, technological changes, digital technologies in the structure of intellectual capital.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13303</doi>
          <udk>330.14.01</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>intellectual capital</keyword>
            <keyword>human capital</keyword>
            <keyword>digital capital</keyword>
            <keyword>structural capital</keyword>
            <keyword>relational capital</keyword>
            <keyword>consumer capital</keyword>
            <keyword>intellectual property</keyword>
            <keyword>structure</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.3/</furl>
          <file>03_Ustinova%2C-Alekseeva.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>57-67</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <researcherid>AAP-1938-2020</researcherid>
              <scopusid>57192315328</scopusid>
              <orcid>0000-0002-7253-0671</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Kuban State Agrarian University named after I. T. Trubilin</orgName>
              <surname>Adamenko</surname>
              <initials>Aleksandr</initials>
              <email>adam83@mail.ru</email>
              <address>350044, Russia, Krasnodar, Kalinina st., 13</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Khorolskaya</surname>
              <initials>Tatyana</initials>
              <email>khorolskaya77@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Petrov</surname>
              <initials>Denis</initials>
              <email>hati1984@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">State support as a tool to development of small business</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Developed small business is an indispensable condition for a stable economy of the country, as well as for individual regions. The most important condition for realizing the potential of small business is an effective system of state support for the business entities. The level of development of small business in different regions of the Russian Federation varies significantly, it depends on many factors. Thus, the Krasnodar Territory is characterized by fairly developed small and medium-sized businesses. The article discusses the main indicators of the activities of small businesses in the Krasnodar Territory by type of economic activity for 2019, while revealing a clear predominance of wholesale and retail trade. In this regard, it was noted that the entrepreneurs should be advised to turn their attention to other sectors of the economy of the Krasnodar Territory fit for small and medium-sized businesses. The state should provide small business entities with full informational, consulting, property, financial and educational support. The paper contains a list of organizations that make up the infrastructure for supporting small and medium-sized enterprises of the Krasnodar Territory. We identify factors that have a negative impact on the development of the state infrastructure for supporting small businesses and analyze the main indicators of the activity of small businesses of the Krasnodar Territory in dynamics over 10 years. We indicate negative aspects in the activities of small businesses that inhibit their development and consider measures taken in the Krasnodar Territory in order to implement Article 11 of the Federal Law of July 21, 2007 No. 209-FZ “On the Development of Medium and Small Enterprises in the Russian Federation”. We conclude that small business is in difficult competitive conditions and, despite the seemingly significant number of existing support systems for small businesses, is currently in need for development and implementation of a more effective system of state support.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13304</doi>
          <udk>338.2</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>economy</keyword>
            <keyword>entrepreneurship</keyword>
            <keyword>small business</keyword>
            <keyword>state regulation</keyword>
            <keyword>efficiency</keyword>
            <keyword>support for small business</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.4/</furl>
          <file>04_Adamenko%2C-Horolskaya%2C-Petrov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>68-79</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Sorokozherdyev Kirill G. </surname>
              <email>sorokozh_kg@spbstu.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The influence of regional sectoral structure on the socio-economic development of the Republic of Khakassia</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The development of Russian regions is in many respects decisive for the development of the entire Russian economy. The article is devoted to the socio-economic development of the Republic of Khakassia. We analyze dependencies of the main indicators of economic development: GRP, birth and death rates, regional average monthly wages. The analysis uses an ADL-model where the influencing factors represent the shares of the corresponding sector of the regional economy in GRP. The main goal of this research is to obtain a model of the dependence of the regional development indicators on the contribution of various sectors of the regional economy to GRP. The seven sectors under consideration are: agriculture, mining, manufacturing, construction, trade, the hotel and financial sectors. The Republic of Khakassia is the focus of the research due to the fact that the region is ranked as lower-middle in terms of regional development. Therefore, it can be assumed as a typical one that belongs neither to financial or industrial centers. Hence, the problem of setting the priorities in the regional socio-economic development is of extreme importance. In the calculations, we used the quarterly statistical data for 13 years, the period of 2004‒2016, and Gretl software . As a result, we obtained three equations reflecting the dependences of the selected endogenous variables of the considered industry segments in GRP. The analysis is of interest, since it allows to trace the significance and role of certain segments of the economy in the socio-economic development of the Republic of Khakassia. Thus, by stimulating the development of certain industries in the region, one can predict the impact of these incentive measures on the main indicators of socio-economic development. The presented analysis can be used as means of shaping the economic policy of the region, and predicting the prospects for the short- and medium-term development of the Republic of Khakassia.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13305</doi>
          <udk>338.49</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>socio-economic development</keyword>
            <keyword>factors of economic development</keyword>
            <keyword>sectoral structure of the region</keyword>
            <keyword>Republic of Khakassia</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.5/</furl>
          <file>05_Sorokozherdev.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>80-90</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Soloveva</surname>
              <initials>Tatiana</initials>
              <email>solo_86@list.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Measuring the development of social innovation ecosystems in the regions of Russia's Northwestern Federal District</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In world practice, support and promotion of social innovations are one of the effective areas of public policy. This is due to a wide range of tasks that lie in the field of social innovation: from resolving problems of employment, education, environment, increasing the availability of health care to the development of agriculture, energy and transport. At the same time, the key factor in their implementation is the presence of an enabling environment and active interaction of interested parties (authorities, business, civil society structures, scientific and educational organizations, social entrepreneurs, etc.), all of which form a social innovation ecosystem. In this regard, an analysis of the situation in this area is becoming an important dimension for both science and governance. Taking into account the relevance of the development of social innovations, it seems possible to identify the social innovation subsystem within the regional innovation subsystem and consider it in terms of the ecosystem approach, i.e. as an ecosystem. However, owing to the limited information on social innovations in Russia, especially at the regional level, evaluating the development of socio-innovative ecosystems is associated with a number of difficulties, which leads us to the need to find relevant tools. In this article we proposed an original approach based on the index method to address this issue. The suggested research tools were tested on data for 2018 for the regions of the Northwestern Federal District of Russia. The results of the study showed uneven development of the environment for the implementation of social innovations and the potential for interaction between the subjects of the regional economy, which can participate in their introduction and promotion. Using the matrix approach, we identified six possible types of regions by the level of development of social innovation ecosystems. In 2018, four types of territories were established, formed on the basis of clustering regions with a high, medium, and low level of development of social innovation ecosystems’ components. The research determined the main challenges in the future of social innovation ecosystems in Russia and the directions to improve the current situation.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13306</doi>
          <udk>332.1</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>social innovations</keyword>
            <keyword>region</keyword>
            <keyword>regional innovation subsystem</keyword>
            <keyword>regional social innovation subsystem</keyword>
            <keyword>ecosystem approach</keyword>
            <keyword>regional social innovation ecosystem</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.6/</furl>
          <file>06_Soloveva.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>91-104</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Stepanova</surname>
              <initials>Marina.</initials>
              <email>emarina77@list.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Modern features of the insurance market development in the Irkutsk region</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The Irkutsk region has competitive advantages over other regions of the country, a certain development potential, but it is subject to various threats. At the same time, it does not have a developed insurance market to withstand them. The region is characterized by palliative of problems arising from the implementation of risks; there is no development concept of the insurance protection system. This eliminates the benefits of insurance as an effective risk management tool, which provides not only compensation, but also prevention of losses. This also leads to inconsistency in the actions of insurers, each of which solves its own problems, not always in the interests of the region. The Irkutsk region takes a stable 17th place among other constituent entities of the Russian Federation in terms of the amount of insurance premiums accumulated on its territory. At the same time, it does not demonstrate any special qualitative changes in the insurance market. In order to identify promising areas of its development, based on an analysis of existing threats, demographics of legal entities, the quality of fixed assets, and the level of incomes of the population, the paper assesses potential segments, development of which can solve not only economic, but also social problems of the region, as well as minimize negative consequences of the centralization of the Russian insurance services market. The main problems that consumers of insurance services face when there are no local insurance organizations on the market and no support from regional authorities that did not attach importance to the possibility of attracting resources of the insurance community to minimize possible losses for a long time. The author concludes that it is necessary to develop a strategy for the development of the insurance market in the Irkutsk region, increase the level of social responsibility of insurers operating on it, strengthen business ties between insurance entities, change the approach to providing insurance protection based on market hyper segmentation, and develop socially relevant programs which take into account behavioral and psychographic characteristics of recipients of insurance services with different levels of risk and income.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13307</doi>
          <udk>368.1</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>insurance market</keyword>
            <keyword>Irkutsk region</keyword>
            <keyword>insurance</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.7/</furl>
          <file>07_Stepanova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>105-114</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Karpov</surname>
              <initials>Dmitriy</initials>
              <email>karpov_da@spbstu.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <scopusid>7005476276</scopusid>
              <orcid>0000-0002-8228-3109</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Glukhov</surname>
              <initials>Vladimir</initials>
              <email>vicerector.me@spbstu.ru</email>
              <address>195251, St.Petersburg, Polytechnicheskaya, 29</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Economy of convention and exhibition event: estimation and concepts</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The MICE industry is one of the most progressing sectors of world economy, which provides an enormous multiplicative socioeconomic effect, developing the country’s economy. These are tax revenues to budgets of various levels from exhibition organizers, service organizations, cultural institutions, transport, hotel and restaurant sector enterprises from expanding and creating new industries, increasing commodity circulation, creating new jobs, attracting investments. The system of organizing congress and exhibition events is multilevel and affects all levels of the country’s economy. A special sector of the economy appeared – the MICE industry (Meetings, Incentives, Conferences, Events). For the real sector of the economy, congress and exhibition events become an effective tool for innovative development, form the necessary information field, direction of financial flows and additional income to budgets of all levels. At the regional level convention and exhibition industry reveals competitive and innovative potential of the territory, builds its external image in terms of investment attractiveness, widens the access to innovative technologies, know-how, specialized services, joint collaboration projects, supports employment-to-population ratio by providing new jobs, and affects the overall trade and economic effect and budgetary efficiency due to the achieved gross domestic product. In addition, it is important to understand that the holding of congress and exhibition events is associated not only with the positive economic effect, but also with the image for the city, country, and even for the particular industry in which the congress and exhibition event is held. Thus, the image-building, non-material effect also affects the promotion of the city itself as a center of attraction for the business community, and the main theme of the event. Moreover, this is a possible increase in the number of events in the future. For each participant in this system, methods are needed to evaluate the effectiveness of their participation, the appropriateness of the resources invested, and the effect of the result. In this article, the authors present the assessment of convention and exhibition events on the part of participant, organizer and regional authorities. The authors also analyze the basic principles of organizing convention and exhibition events.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13308</doi>
          <udk>658</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>convention and exhibition management</keyword>
            <keyword>event</keyword>
            <keyword>convention and exhibition event economy</keyword>
            <keyword>MICE industry</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.8/</furl>
          <file>08_Karpov%2C-Gluhov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>115-128</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Akmaeva</surname>
              <initials>Raisa</initials>
              <email>ecorai@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <researcherid>V-1094-2019</researcherid>
              <scopusid>56968223000</scopusid>
              <orcid>0000-0002-0941-6358</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Babkin</surname>
              <initials>Alexander</initials>
              <email>babkin@spbstu.ru</email>
              <address>Russia, 195251, St.Petersburg, Polytechnicheskaya, 29</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Epifanova</surname>
              <initials>Nelli</initials>
              <email>nellynew@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">About the strategy for restoring Russian organisations after COVID-19</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The paper considers the choice of strategies for development of Russian companies in the post-crisis period as one of the most important tasks of post-crisis development. It is expected that some existing trends will accelerate and new ones will appear in the process of business recovery. It is noted that modern world communities did not hesitate to stop the economy in order to save human lives, because in the case of Covid-19, thinking only about the economy meant putting people’s lives at risk. It is shown that human capital has long been the basis of modern economic growth and stopping the coronavirus epidemic at any cost is not only ethically correct, but also economically profitable. We indicate that the only effective method of containing infection was the General isolation of the population, stopping transport links between countries and “freezing” the life of cities. The article based on the results of lessons from Covid-19 lists several end-to-end trends that will obviously last long enough in the post-crisis period. The research proves that even in the pre-crisis period, under the influence of mega-trends and challenges of the digital age, the approach to doing business changed, i.e. there was a change in business models due to the integration of “disruptive” digital technologies into all aspects of the company’s business activities, reducing the horizon for strategy development and introducing new flexible organizational forms of work. The article substantiates a theory that Russian companies which relied on digital business models will be better prepared for the new post-crisis reality. It is argued that everything related to the Internet infrastructure and digital platforms will become growth points in the very near future, and that the greatest success in the modern world will be achieved by companies that will be able to build and manage networks around themselves. We analyzed different concepts and versions of management which show more similarity of their basic principles than differences, and give recommendations on business recovery for managers of Russian companies based on the development of ecosystems and the platform economy.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13309</doi>
          <udk>65.916.7</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>global trends</keyword>
            <keyword>lessons from the crisis</keyword>
            <keyword>business recovery</keyword>
            <keyword>business models of the digital age</keyword>
            <keyword>ecosystems</keyword>
            <keyword>digital platforms</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.9/</furl>
          <file>09_Akmaeva%2C-Babkin%2C-Epifanova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>129-140</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <researcherid>A-5757-2017</researcherid>
              <scopusid>35573556300</scopusid>
              <orcid>0000-0001-9375-0262</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Kozlov</surname>
              <initials>Alexander</initials>
              <email>akozlov@spbstu.ru; avk55-spb@yandex.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg,195251</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Alkhayer</surname>
              <initials>Lina</initials>
              <email>lina.alkhayer@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The role of digital competencies of personnel in the formation of human capital of an industrial enterprise</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">he purpose of the study is to establish the relationship and mutual influence between the categories of “digital competence” and “human capital” and to develop a method for measuring the component of the human capital of an industrial enterprise, determined by the digital competencies of personnel. The relevance of the research topic is due to the processes of digital transformation taking place in society in general and in industry in particular, as well as the increasing role of digital competencies of employees and digital potential of an enterprise in the success of this transformation. Thus, the human capital serves as a generalized parameter characterizing personnel’s ability to accomplish tasks posed by the enterprise management. Based on the analysis of the performed research, both in domestic and foreign publications, the authors made two important conclusions. The first conclusion is that human capital is a complicated category, which is formed, on the one hand, by the level of staff development, their necessary competencies, and, on the other, by the conditions for applying these competencies in specific workplaces. The second conclusion concerns an expensive cost method of measuring human capital of an enterprise, which is the most acceptable for quantitative analysis. This implies, firstly, an understanding of the relationship between the categories “digital competence” and “human capital”, presented in the article. Secondly, the ability to quantify the contribution of digital competencies of personnel to the total human capital of the enterprise. The authors propose formulas for three components that form a part of human capital based on digital competencies. These elements are formed at three stages: basic professional education, accumulation of practical experience and professional development in the course of professional activity. A practical example of calculating the value of human capital confirms the validity of the proposed method. The authors formulate restrictions on the use of this method and identify areas for further research. The computational results for all departments of the enterprise may serve as a database to monitor management of human capital and its components, assess managerial decisions, as well as for benchmarking in the specific industry or type of activity.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13310</doi>
          <udk>331.101.5</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>digital economy</keyword>
            <keyword>industrial enterprise</keyword>
            <keyword>human capital</keyword>
            <keyword>digital competencies</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.10/</furl>
          <file>10_Kozlov%2C-Al-Hair.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>141-157</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Pletnev</surname>
              <initials>Dmitriy</initials>
              <email> pletnev@csu.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Kozlova</surname>
              <initials>Elena</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Towards evaluation of alienation and behavioral opportunism of enterprises and corporations workers</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The research combines systematization of existing publications and the results obtained earlier by the authors to propose a new approach to assessment of alienation and behavioral opportunism of personnel at modern enterprises and corporations. The paper presents a rationale for assessing the four components of social alienation (self-estrangement, powerlessness, social isolation, and meaninglessness), and six forms of behavioral opportunism: four for opportunism by commission (lying or misrepresentation, violation of agreements, exaggeration of difficulties, using unforeseen events for benefits), as well as two forms of opportunism by omission (information hiding and negligence). The authors propose to use a combination of surveys with direct (to evaluate the degree of alienation, sixteen questions, four for each component) and indirect (to evaluate willingness for behavioral opportunism, six questions with five answer options each) questions and a quantitative assessment of the degree of alienation and the level of behavioral opportunism. We regarded opportunism as a complex of two phenomena (the subjects’ willingness to opportunism and the conditions for its manifestation). We considered structural elements of both phenomena and proposed tools for their measurement, also substantiating their interrelation. We propose approaches to the assessment and interpretation of the results obtained during the application of the proposed methodology. A feature of the proposed methodology is the extensive possibilities of its use in practice, including for monitoring the corporate culture of modern enterprises. It allows assessing the degree of alienation and the level of behavioral opportunism and social exclusion both for an individual worker and for their groups (departments, representatives of one profile, separately for employees and managers), as well as for the enterprise as a whole. Of particular importance is the proposed approach for assessing the corporate culture and the quality of institutions existing in a corporation at the level of interaction of its main subjects: employees, managers, and owners.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13311</doi>
          <udk>331.445</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>alienation</keyword>
            <keyword>opportunism</keyword>
            <keyword>corporations</keyword>
            <keyword>enterprises</keyword>
            <keyword>measurement</keyword>
            <keyword>evaluation</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.11/</furl>
          <file>11_Pletnyov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>158-173</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Leventsov</surname>
              <initials>Alexandr</initials>
              <email>drlev@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Lavrov</surname>
              <initials>Andrey</initials>
              <email>andrey@spbcioclub.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Markina</surname>
              <initials>Anastasiya</initials>
              <email>anastasiya_klementeva@bk.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Route maps planning priority model in engineering</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">One of the most important tasks in our country is the further development of the economy of industrial production, including increasing the depth of redistribution of domestic industrial products. It predetermines the need for automation and computerization of machine-building production, introduction of modern methods of the digital economy in terms of optimizing the supply curve. This leads to setting the tasks of improving the planning and management system of engineering production. Machine-building enterprises need a capacity planning system that would objectively reflect the established economic situation for efficient management decision-making. The main planning objective is to form a production schedule, maximum load of work centers taking into account the existing restrictions and priorities of orders. The paper shows enlarged, or inter-workshop, planning of a production schedule for a long planning horizon and detailed, or operational intra-workshop, planning We take the production schedule, the availability of work centers and production facilities into account. The planning levels are compared. At the stage of enlarged planning, a production schedule consists in a calendar schedule for the execution of production routing maps. It allows to evaluate the feasibility of received orders for production by the date of need, to reschedule the constructed schedule when changes and deviations take place in the production plans. At this stage, during the initial placement of the order in the production schedule for each line, the possibility of fulfilling the order by the specified requirement date is determined. If it is impossible to ensure the production of a particular product by the date of need, the date of its intended release is calculated. The production schedule is transferred to the level of detailed planning ‒ the volume of work per planning interval, for the execution of which the availability of groups of work centers is enough for a given interval. Within this interval, a specific execution time is planned for each operation with the definition of specific work centers that will be involved in the execution of operations. As a result of mathematical calculations, we obtained a recommended sequence of planning production route maps. The mathematical model of choosing the planning priority for production mapping presented in the work allows us to calculate the feasibility of orders on time, and also to determine the planned time interval in which each routing map should be completed.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13312</doi>
          <udk>338.984</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>route map</keyword>
            <keyword>planning</keyword>
            <keyword>planning criteria</keyword>
            <keyword>selection model</keyword>
            <keyword>engineering</keyword>
            <keyword>optimization</keyword>
            <keyword>supply curve</keyword>
            <keyword>loading</keyword>
            <keyword>mathematical model</keyword>
            <keyword>tension</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.12/</furl>
          <file>12_Leventsov%2C-Lavrov%2C-Markina.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>174-186</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Veis</surname>
              <initials>Yuliia</initials>
              <email>jveis@yandex.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Evaluating the effectiveness of investing in human capital under digital transformation of economy</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">he current economic situation in Russia is dualistic. The economic crisis forces enterprises to reduce investment in all areas. At the same time, the process of developing the digital economy, the need for the development and implementation of innovations, and the high level of market competition encourages enterprises to intensify investment activities. In such circumstances, the problem of investing in personnel training is especially relevant. Businesses require unique specialists who can quickly adapt to changing conditions and build up the necessary competencies fast. The classic higher education system does not have time to adapt its programs to the constantly changing requirements of the labor market. Corporations, with sufficient investment resources, are ready to invest in staff training, provided that there is a visible economic effect. The author suggests using the ROI methodology based on the five-level Jack Phillips model, which allows evaluating the effectiveness of investments in personnel training to confirm the effectiveness of interaction between the University and the Corporation, motivating the latter to invest in the training of future personnel of the enterprise. The author used statistical, scientometric and qualitative methods of analysis. The analysis of statistical and analytical information used methods of absolute, relative and average values; retrospective analysis; the grouping method, as well as the content analysis method. Methods of expert and factor analysis were used to substantiate the results of the study. The study analyzes the implementation of interaction between Samara State Technical University and corporate partners who act as customers and investors in the training of personnel in the forms of integrated training in the framework of the main educational program, project-educational intensive and interdisciplinary project teams. The main trends of interaction between the University and industrial partners in the implementation of practice-oriented project training were formed. The main stages of the ROI assessment methodology at the University in the implementation of training with the participation of a corporate stakeholder were considered. The quantitative dynamics of project implementation in the forms of practice-oriented project training was evaluated. The prospects for the development of these forms of interaction was evaluated, taking into account the amount of investment per 1 student and the effect received by the investor. Conclusions about the prospects for the development of investment in training by corporate holding structures complete the paper.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13313</doi>
          <udk>338.2:004</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>investments in personnel training</keyword>
            <keyword>corporate holding structures</keyword>
            <keyword>practice-oriented project training</keyword>
            <keyword>digital economy</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.13/</furl>
          <file>13_Veys.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>187-200</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Dyudikova</surname>
              <initials>Ekaterina</initials>
              <email>dudikova.e@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Models for integrating digital technologies into the international payment space</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The results of scientific and technological progress have contributed to the creation of a virtual space, which has a close relationship with the real world, including payment and settlement. It should be noted that the information society in the context of world globalization and digitalization of the economy, introducing innovative technologies, seeks to fully automate the processes of settlements and payments in order to reduce their cost, speed up and simplify the procedures of transfers, ensure reliability of storage, processing and transmission of financial information, guarantee the data non-transferability, reliability and authenticity. At the same time, the problem of ensuring the competitiveness, financial independence and national security, which can be solved by the formation of a common payment space by integrating the technology of distributed registers, is becoming urgent in the context of total dollarization and unlimited influence of individual states. It should be based on a digital payment and settlement system that, through the organization of innovative technology, can effectively meet the modern global challenges. The paper identifies four approaches to the organization of cooperation between countries in order to carry out cross-border settlement, which consider nine models of international cooperation depending on the configuration (centralized electronic or decentralized digital) of national and international payment and settlement systems. On the basis of the comparative analysis of the models parameters, the author chooses an option of inter-country cooperation in the financial sphere within the framework of the common digital payment space. It involves a digital settlements infrastructure, both at the national level and between countries. Based on the current state (inter-country electronic interaction), the transformation of the payment space should include two stages: transitional (inter-country electronic-digital interaction) and final (inter-country digital interaction). This will provide a smooth transition to a common digital payment space while elements for the single-stage construction and functioning of the optimal high-tech interaction model are still absent.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.13314</doi>
          <udk>336.74</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>inter-country interaction</keyword>
            <keyword>model</keyword>
            <keyword>technology of distributed registers</keyword>
            <keyword>transformation</keyword>
            <keyword>digital payment space</keyword>
            <keyword>digital settlement</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2020.83.14/</furl>
          <file>14_Dyudikova-2.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
