<?xml version="1.0" encoding="utf-8"?>
<journal>
  <titleid/>
  <issn>2782-6015</issn>
  <journalInfo lang="ENG">
    <title>π-Economy</title>
  </journalInfo>
  <issue>
    <volume>15</volume>
    <number>6</number>
    <altNumber> </altNumber>
    <dateUni>2022</dateUni>
    <pages>1-159</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>7-17</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Tutueva</surname>
              <initials>Darya </initials>
              <email>dasha.tutueva1999@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Viktorova</surname>
              <initials>Natalia</initials>
              <email>viknata@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Sayakbaeva</surname>
              <initials>Ayganysh</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Implementation of artificial intelligence technologies in corporate finance: classification by spheres of activity</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article considers the meaning of artificial intelligence technologies, such as machine learning, deep learning, natural language processing plus robotic process automation and data analytics. This is done for understanding of AI technologies functions in their implementation in corporate finance of an enterprise. According to the literature review, machine learning is mainly used in reconciliation, validation, analysis, and forecasting; RPA and intelligence process automation – for KPI management, transaction processes and compliance; NLP – for speech and text recognition in different operations. Based on the analysis of the technological development prospects of the largest financial companies, consulting bodies, professional associations, and educational structures, such as ICAEW, CPA Australia, CPA Canada, ACCA and SigmaIQ, the relationship between AI technologies and business processes of such companies is systematized. A classification is proposed in relation to the introduction of AI technologies in the areas of corporate finance in the financial sector and specific tasks to be solved in each area. Namely, in the areas of: accounting (accounts receivable management, accounts payable control, reporting, financial planning and analysis), external finance processes, internal audit, forensic accounting and fraud detection, work of CFO. The main benefits of such technological implementation are also defined for three groups: efficiency, control and decision-making. Significance of the study is expressed in the most concrete classification of AI technologies implementation in corporate finance, which allows harnessing the benefits specified. However, the article does not cover such topics as prerequisites, problems of implementation and their solution, because these questions were discussed in previous articles of the authors. Future research could be viewed as description of real implementation evidence in business environment, complicated with constraints of the economic reality.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15601</doi>
          <udk>336.6</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>artificial intelligence</keyword>
            <keyword>management of innovations</keyword>
            <keyword>finance</keyword>
            <keyword>accounting</keyword>
            <keyword>business analysis</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.1/</furl>
          <file>01_Tutueva%2C-Viktorova%2C-Sayakbaeva.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>18-32</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Starchenkova</surname>
              <initials>Olesia</initials>
              <email>starchenkova.od@edu.spbstu.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Velichenkova</surname>
              <initials>Daria</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Analysis of implementing digital technologies in high-tech healthcare</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Healthcare is a sector of the national economy, where there is a trend towards the introduction of innovative technologies. They are tightly concentrated around the digitalization of healthcare, which will significantly expand the range of services provided, improve their quality, and make personalized medicine accessible to everyone. Under these conditions, there is an urgent need to change the methodology for the provision of services. Over the past decade, there have been changes in approaches to patient management, which led to the formation of the concept of medicine of the future, which is a continuous process of preventive health care using high technologies. For example, during the pandemic, one of the main areas of personalized medicine, telemedicine, was actively developing. Being in different parts of the city or country, the patients could receive consulting assistance without violating the recommendations of social distancing. Moreover, due to the increased interest in health monitoring using various devices, personalized medicine is actively integrating with the Russian healthcare system, replacing outdated practices. However, despite all the benefits of personalized medicine, the scientific community is divided into its supporters and opponents. This article is devoted to determining the opportunities and consequences of introducing innovative technologies in the healthcare sector. The forecasts are based on the experience of those countries that have experience in successfully implementing personalized medicine projects. It also demonstrates the role of identifying pharmaceutical biomarkers that reveal patients' predispositions to diseases and can help the doctor prescribe therapy; therefore, this is the key to the success of personalized medicine. The study identifies a range of possible related problems and suggests ways to solve them. The result of the study is the development of recommendations for achieving the maximum effect from the revolutionary step of innovation, without causing consequences from the influence of exogenous shocks. The main provisions and conclusions of the work are aimed at further development of personalized medicine in Russia and can be used in the formation of an effective policy for its implementation.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15602</doi>
          <udk>338.012</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>healthcare</keyword>
            <keyword>personalized medicine</keyword>
            <keyword>digitalization of healthcare</keyword>
            <keyword>innovation</keyword>
            <keyword>consequences of innovation</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.2/</furl>
          <file>02_Starchenkova%2C-Velichenkova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>33-53</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Eremina</surname>
              <initials>Irina </initials>
              <email>irenalks@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Yudin</surname>
              <initials>Andrey</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Tarabukina</surname>
              <initials>Tatyana </initials>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <surname>Oblizov</surname>
              <initials>Alexey</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Development of digitalization models for the agro-industrial complex of the Komi Republic</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The ability of the country's national economy to provide a sufficient amount of food for the population is determined by the well-being and development of the agro-industrial complex (AIC): the total production and economic system that produces, processes agricultural products and brings them to the consumer. To achieve the stated goal, the study substantiates the need to form a unified methodology for developing digitalization models for the agro-industrial complex. The relevance of the research topic is due to the fact that, like other sectoral and intersectoral industrial complexes, the agro-industrial complex has its main goals for the long term: ensuring absolute satisfaction of the demand of the country's inhabitants in food products made from raw materials; gradual improvement of the quality of life of workers in rural areas on the basis of increasing the productivity of the complex; introduction of innovations in the development of agriculture. All these aspects cannot be achieved without the introduction of digital technologies. At the same time, there are currently no comprehensive studies that allow modeling the development of agriculture taking into account the proactive vector and in the context of digital transformations. Scientific novelty is determined by the emerging contradiction between the requirements of practice for the scientific explanation (evaluation, analysis) of the results of using digital business processes, in particular, those based on the use of the Internet-of-things technology, and the available means (conceptual, formal models, methods and techniques) of such a scientific explanation. An author's approach is needed to combine these elements. The purpose of this study is to build models for the development of digitalization of the agro-industrial complex of the Komi Republic on the example of specific municipal districts based on a complex combination of conceptual and formal models that allow evaluating the performance indicators of using digital business processes, including those based on the use of the Internet-of-things technology. In the process of the research, the methods of generalization and synthesis, statistical, dynamic and structural analysis, the abstract-logical method were applied. As a result, the following scientific results were obtained: models for the development of digitalization of the agro-industrial complex of the Komi Republic were developed; ADL-models for the development of digitalization of agriculture in the Komi Republic were built; a model for generating the results of using digital business processes based on the use of the Internet-of-things technology was described through the systematization of factors that determine the specifics of the development of agriculture. The approbation was carried out on the basis of a study of specific municipal districts of the Komi Republic. The results and conclusions obtained can be used in the transformational processes of development of the agro-industrial complex in the context of the proactive introduction of digital models.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15603</doi>
          <udk>631.5</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>agro-industrial complex</keyword>
            <keyword>digitalization</keyword>
            <keyword>digital technologies</keyword>
            <keyword>agriculture</keyword>
            <keyword>internet of things</keyword>
            <keyword>digital model</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.3/</furl>
          <file>03_Eremina%2C-Yudin%2C-Tarabukina%2C-Oblizov.pdf</file>
        </files>
      </article>
      <article>
        <artType>REV</artType>
        <langPubl>RUS</langPubl>
        <pages>54-70</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Kostyukova</surname>
              <initials>Korinna</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The green transformation of Japan and some contours of the new national energy policy</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This review paper deals with the analysis of the latest energy policy of Japan, adopted for implementation at the end of 2021. The relevance of the study is supported by several factors. One of the key factors is the global agenda of decarbonization of economies and the entry of leading countries into the race to achieve carbon neutrality by reducing the amount of harmful substances emitted into the atmosphere, replacing traditional natural resources for energy production with renewable energy sources. Another important factor is ensuring the country’s energy security. Japan is the third largest economy in the world and the fifth largest energy consumer. As an island country with high seismic activity, without access to international gas pipelines or electricity, with limited reserves of natural resources and large energy needs for its developed industrial sector, the country faces significant energy security problems, relying on imports to meet 88% of its energy supplies. Such a situation is extremely dangerous for maintaining a stable life of the country, especially in the context of current geopolitical tensions and related disruptions in the supply of fossil energy sources. To achieve the set goals, Japanese government is preparing various framework documents containing both a general concept of the country’s energy development in the medium and long term, and specific measures and tasks, the solution of which should allow the country to get closer to achieving the set goals. This paper reviews the key strategies, plans and roadmaps that make it possible to understand the key direction of the country’s new energy policy, and also provides examples of specific initiatives in the field of green transformation from representatives of the country’s large corporate sector. The paper provides some conclusions of the analysis of the described measures and initiatives, as well as some possible problems that may arise during the implementation of the green innovation policy with some recommendations that can prevent or mitigate the consequences of these problems. The review showed that the Japanese government considers green transformation not only as a way to solve environmental problems through the introduction of the latest production technologies and reduction of harmful emissions, but also as one of the main drivers of the national economy and innovation, the sphere of development of both domestic cross-sectoral and international cooperation.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15604</doi>
          <udk>338</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>digital transformation</keyword>
            <keyword>green transformation</keyword>
            <keyword>carbon neutrality</keyword>
            <keyword>science and technology and innovation policy of Japan</keyword>
            <keyword>energy policy of Japan</keyword>
            <keyword>green energy</keyword>
            <keyword>renewable energy sources</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.4/</furl>
          <file>04_Kostyukova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>71-84</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Tsutskarev</surname>
              <initials>Vladimir</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Strategic potential of business aviation ground handling enterprises</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">According to the publicly available scientific articles, a lot of different scientists research company strategic potential in various sectors of the national economy. It is important to mention that not even one business aviation researcher ever explored a method of calculating the strategic potential index of business aviation ground handling companies. Scientific sources fail to provide even one definition of strategic potential of business aviation ground handling enterprises. The field of the business aviation ground handling has also never been under study, especially as a field separate from business aviation in Russian Federation as a whole. The purpose of the research is to create a method of calculating the enterprise strategic potential index according to the available theoretical data and the actual results of enterprise activity in terms of business aviation ground handling. The objectives of the article are: to research the activity of the main Russian business aviation ground handling enterprises during the period from 2019 to 2022, to analyze the influence of external and internal factors to strategic potential of the business aviation ground handling enterprise, to create and prove the method of calculating the strategic potential index of business aviation ground handling enterprise. As a result of the study, the meaning of strategic potential of business aviation ground handling enterprise was established and the method of calculating the strategic potential index of business aviation ground handling enterprise based on the results of analyzing the activities of such leading domestic enterprises as FBO Vnukovo-3 and FBO Pulkovo-3 was created. It was established that key external and internal factors have huge influence on the strategic potential of business aviation ground handling enterprises. However, the enterprises are not always capable of changing these factors in order to systematically improve them.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15605</doi>
          <udk>656.71</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>efficiency</keyword>
            <keyword>strategic potential</keyword>
            <keyword>ground handling</keyword>
            <keyword>business aviation</keyword>
            <keyword>enterprise</keyword>
            <keyword>FBO</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.5/</furl>
          <file>05_Tsutskarev.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>85-99</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Egorova</surname>
              <initials>Svetlana</initials>
              <email>es1403@bk.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Kulakova</surname>
              <initials>N.G.</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Budasova</surname>
              <initials>Victoria</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Research on relationship between environmental and economic indicators of an enterprise</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The debate about whether improving companies' environmental performance has a positive or negative impact on their competitiveness (i.e., their economic performance) has been going on for a long time: environmentalists and the public are pushing for stricter environmental regulations, and politicians, economists and the business community are looking for a compromise between environmental costs and economic efficiency. Understanding this relationship is important for all polemicizing parties, as two objectives are pursued simultaneously: ensuring high environmental quality, which is costly, and obtaining good economic results. It is also important for separating environmental, economic and political goals: whether the policy of "greening" business, implemented in many countries, is a real fight against climate change and bad ecology, or is it used as a tool to mobilize electorate and hide protectionism. Despite the large number of studies conducted in this area, the question of the direction of the causal relationship remains: whether environmental investments lead to higher profits or simply act as indicators of firms with high financial results. The article conducts a comparative analysis of methods and models for the formation of interrelations between environmental and economic characteristics of firms in the context of activating the international environmental agenda as one of the promising directions for the development of economic analysis. The authors show that the relationship between environmental regulation and competitiveness is not the same and depends on the market structure of the industry. In addition, the presence of different approaches to the definition of the concepts of "competitiveness", "economic efficiency", "environmental efficiency", "strictness of regulation", as well as the use of various indicators to measure them pose important analysis problems. The complexity of selecting indirect indicators of environmental regulation and competitiveness, as well as the availability and quality of data also play a significant role. The possibilities and problems of empirical analysis of the relationship between environmental and economic efficiency according to the data of the largest Russian companies and domestic statistics are studied.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15606</doi>
          <udk>658</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>methods and models of environmental regulation</keyword>
            <keyword>competitiveness</keyword>
            <keyword>environmental efficiency</keyword>
            <keyword>economic efficiency</keyword>
            <keyword>environmental costs</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.6/</furl>
          <file>06_Egorova%2C-Kulakova%2C-Budasova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>100-112</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Balashova</surname>
              <initials>Elena</initials>
              <email>elenabalashova@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <scopusid>55960943900</scopusid>
              <orcid>0000-0002-7465-6681</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>SMTU</orgName>
              <surname>Malyshev</surname>
              <initials>Evgenii</initials>
              <email>eamalyshev@mail.ru</email>
              <address>Lotsmanskaya Ulitsa, 3 Sankt-Peterburg 190121</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Vasileva</surname>
              <initials>Svetlana</initials>
              <email>Vasileva_svetlana87@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Application of the quality management system in the context of the effective operation of complex industrial systems</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Increasing worldwide competition has led to increased requirements that consumers place on product quality. The requirements of the customer are taken into account in the specifications, but the specifications themselves cannot be a guarantee of quality if there are any inconsistencies in the organizational system, including the supply of products and their maintenance. As a result, quality system standards and guidelines were developed to complement the relevant product requirements in the specification. The international standards of the ISO 9000 series are intended to provide general guidance on quality in major industries and economies, which allows enterprises to have a stable market position. Russia is a part of the global economy, and in order to successfully promote their interests, domestic industry enterprises have no alternative to the implementation of international quality standards. The purpose of the article is to study the specifics of the application of quality management at Russian industrial enterprises in the context of operational efficiency. Research methods: analysis and synthesis, systematization, modeling, induction and deduction. Results, their novelty and practical value: a conceptual approach to the implementation of the international quality management standard in the activities of Russian shipbuilding enterprises is proposed; the expediency of using the PDCA cycle in the process of developing and implementing quality management systems is substantiated; the difficulties and obstacles faced by shipbuilding enterprises in the process of implementing international standards are highlighted. To overcome them, an algorithm for the successful implementation of a quality management system has been formalized, which can be effectively applied in practice. Main conclusions: a functioning quality management system at industrial enterprises in Russia can become a real tool for continuous improvement of activities, a method for increasing competitiveness in the sales markets and a source of economic benefits. Directions for further research: development of a methodology for quantitative and qualitative assessment of the effectiveness and efficiency of the implementation of international quality standards at industrial enterprises.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15607</doi>
          <udk>658.5</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>optimization</keyword>
            <keyword>resource</keyword>
            <keyword>management</keyword>
            <keyword>quality</keyword>
            <keyword>standard</keyword>
            <keyword>certification</keyword>
            <keyword>enterprise</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.7/</furl>
          <file>07_Balashova%2C-Malishev%2C-Vasileva.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>113-127</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Kachalkina</surname>
              <initials>Kristina</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Cost estimation of enterprise’ organizational pathologies</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In modern conditions, changes in organizational management structures must be frequent, and the need for changes is growing. There is a renewed research interest in human behavior as a significant factor to be considered when managing an organization. In this context, the theory of organizational pathologies – violations in the functioning of organizations, occurring mainly due to the behavioral characteristics of employees – could receive a new application. Analysis of publications showed that there are practically no studies describing approaches and methods for cost estimation of organizational pathologies. Although there are works on expert assessment of the pathologies’ presence in the enterprise in general. Probably, this is because the results of the pathologies’ manifestation are mainly qualitative, not quantitative, making their estimation rather complex. The article includes an overview of context of functioning of modern organizational management structures, addresses approaches to the qualitative results’ cost estimation in various fields of activity. The research shows the importance of organizational pathologies estimation for improving organizational management structures. The article’s aim is to propose a method of organizational pathologies’ cost estimation that would help to identify the changes in the organizational management structures’ functionality. A new indicator of inefficient costs is proposed. The inefficient costs are the estimated losses of the enterprise due to the presence of pathologies. The calculation of the indicator is similar to monetization of non-monetary (qualitative) results taken from the methodology of the social return on investment calculation (SROI). The losses due to pathologies are assessed similar to transaction costs calculation, which includes determination of their share in the specific expenses of the enterprise. At the same time, it is assumed that each enterprise may have a certain amount of inefficient costs, allowing it to maintain sufficient functionality and achieve its goals. Since the inefficient costs are the result of human behavior it is impossible to eliminate them. Therefore, the decision whether to change the organizational structure of management or not is made by tracking the dynamics of inefficient costs and their share in the cost price. The growth or the decrease in these two indicators is a signal of the need for said change. As part of the further study, it is planned to improve the approach to assessing the organizational structure of management functionality by adding the analysis of external environment of enterprises. That would allow assessing both internal and external factors considering the enterprise an open system.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15608</doi>
          <udk>65.014</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>organizational pathologies</keyword>
            <keyword>cost estimation</keyword>
            <keyword>inefficient costs</keyword>
            <keyword>organizational structure of management</keyword>
            <keyword>human behavior</keyword>
            <keyword>human-centered approach</keyword>
            <keyword>opportunity costs</keyword>
            <keyword>transactional costs</keyword>
            <keyword>social return on investment</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.8/</furl>
          <file>08_Kachalkina.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>128-145</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Borovkova</surname>
              <initials>Val.A.</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Lyukevich</surname>
              <initials>Igor</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Akylbekova</surname>
              <initials>Nelly</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Methodology for assessing the feasibility of implementing risk management software at enterprises</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Due to the widespread introduction of a risk-based approach to doing business, effective organization and control of risk management digitalization processes is of great scientific and practical importance. One of the priority tasks is the search for effective digital risk management tools, their evaluation and optimization of choice. The purpose of the article is to study the issues of transformation of risk management tools and to develop methodology for assessing the feasibility of implementing risk management software at enterprises. The study used methods of system, factor and comparative analysis; structural, historical and logical approaches; methods of expert assessments, modeling. The article clarifies the concept of "digitalization of risk management", identifies key approaches to the digital transformation of risk management, identifies its main trends and advantages, and establishes the basic prerequisites for the active digitalization of risk management. The main factors of the positive and negative impact of digitalization of risk management, the main problems of the introduction of special software are identified. The author's classification of key digital solutions in the field of risk management is presented. The main ratings of programs in the field of risk management are considered. It is proposed to include the parameters "cost, architecture, integration, functions, users, opportunities for social interaction and security" in the risk management software rating system. The conducted research allowed us to confirm the hypothesis that the effectiveness of software implementation depends not only on the characteristics of the programs themselves, but also on the degree of readiness of the enterprise (in terms of the requirements of the internal and external environment) for their implementation. As a result, we received a methodology for assessing the feasibility of implementing risk management programs (IRM solutions), based on an assessment of the software itself, an assessment of the organization's readiness for implementation, and consideration of environmental factors. This approach allows us to comprehensively explore the possibilities of successful implementation of risk management software, accelerate and improve the efficiency of the decision-making process for choosing the necessary software, identify areas for improving the risk management system, as well as open up ways to sustainably increase the potential of the enterprise. The research contributes to the development of both the theory and practice of risk management, and to the development of a system for assessing the digital transformation of organizations.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15609</doi>
          <udk>338.2; 004.9</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>risk; risk management; tools; digital transformation; software; assessment; opportunities; balance; feasibility</keyword>
            <keyword>sustainable development</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.9/</furl>
          <file>09_Borovkova%2C-Lyukevich%2C-Akilbekova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>146-159</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Antipov</surname>
              <initials>Sergey</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Modeling of sustainable development of the Arctic regions of the Russian Federation (on the example of the Murmansk region)</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This article examines the main prerequisites for interregional cooperation between the regions of the Arctic zone of the Russian Federation, as the most important prerequisites for achieving both geopolitical and economic leadership of the country on the world stage. Possible prospects for quantitative modeling of this interaction are considered in view of the importance of numerical assessment of realities and making forecasts that ensure correct decisions. The article examines the features of building a model of sustainable development of the Arctic regions assessing the cumulative impact in three areas: economic, environmental and social. The main aspects of the construction of mathematical models are analyzed both in the field of these spheres and their totality. The requirements for the implementation of such models are put forward and, most importantly, the key parameters necessary for the successful implementation of modeling are determined. The process of forming a model capable of assessing the sustainable development of regions in as much detail as possible is described, as well as requirements are imposed both on the model itself and on the indicators included in it. Possible variants of mathematical models are proposed that are fully capable of satisfying all conditions. The two most preferred models are described: ADL and a model based on a neural network; the areas of their possible application are characterized. An ADL model and a model of neural networks for three spheres in the Murmansk region are being built on the example of statistical data for 30 years from 1988 to 2018. The accuracy of the results obtained is estimated based on a comparison of empirical and actual values, and a numerical error estimate based on the MAPE approach is also given. The comparison of these models is given and the possibilities of their application, as well as the limitations of their use, are analyzed. The possibilities of using the disassembled models with the advantages and limitations are described both for assessing the sustainable development of individual territories and for the country as a whole. A vector for further research in the field of sustainable development of regions is given.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JE.15610</doi>
          <udk>330.4</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>modeling</keyword>
            <keyword>sustainable development</keyword>
            <keyword>ADL model</keyword>
            <keyword>neural network</keyword>
            <keyword>territorial development</keyword>
            <keyword>arctic zone</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://economy.spbstu.ru/article/2022.98.10/</furl>
          <file>10_Antipov.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
