The "Economic Strategies" journal

#6. 2025




Digital technologies for operating the information activity of a subject based on artificial intelligence elements

DOI: 10.33917/mic-6.125.2025.5-11

The article dwells on the use of digital technologies for operating in the information sphere the activity of the subject of information relations based on the elements of artificial intelligence. The authors present an information technology for adapting individually oriented information messages generated by artificial intelligence services (semantic blocks), taking into account the personality characteristics, identified during observation, and formation of adapted messages that interpret events to set the vector of individualized logic for choosing a actions chain of the subject of information relations in the context of a complex epidemiological situation. It is proposed to provide digital support of information services for a configurable model of targeted development and targeted delivery of adapted packages of information messages to a consumer – a process with an expanded NLP component, in relation to the information picture of reality, a constantly reproducible action within the framework of information activities.

References:

1. Ageev A.I., Grabchak E.P., Loginov E.L. Using Supercomputer Technologies to Manage the Operations of Very Large Organizational Systems in the Implementation of Complex Special Projects (Operations). Microeconomics. 2024;1:5–10.

2. Ageev A.I., Grigoriev V.V., Loginov E.L. Quantum Simulators as a Tool for Observability of a Digital Supersystem with a Significant Component of Unpredictable Behavior of Its Elements. Microeconomics. 2024;5:5–13.

3. Ageev A.I., Loginov E.L., Ziyadinov A.S., Ziyadinov D.S. Key Trends in the Development of Artificial Intelligence in the Global Economy. Microeconomics. 2025;4:5–18.

4. Ageev A.I., Loginov E.L. Modeling the Processes of Ensuring the Resilience of State Organizational Systems to Attempts to Seize Power by an Identified and Unidentified Adversary. Microeconomics. 2025;3:5–14.

5. Ageev A.I., Loginov E.L. Selection and Training of Personnel for Structures with Critical Cognitive and Psychological Loads in Complex Special Situations (Operations). Economic Strategies. 2024;26(2 (194)):78–87.

6. Loginov E.L. Digital Technologies of Information Warfare: Neural Network Imperatives of Information Counteraction to Attempts to Intercept Control in the Social and Information Environment. Moscow: Rusains, 2024. 234 p.

Digital Technology Introduction Analysis into the Educational Process in Russian Universities and Schools during the COVID-19

DOI: 10.33917/mic-6.125.2025.12-20

The article goal is to analyze the digital technology introduction into Russian education, including the distance education transition in Russian universities and schools during the COVID-19. Several scientific analysis methods were used in transformation analysis: method of analysis and synthesis, abstraction, generalization, description, induction, deduction. In the transformation processes during the COVID-19 changes are observed in the perception of students and schoolchildren with the digital technology introduction in the professional educational field from March 2020 up to date. The article reveals the concepts of traditional and innovative education forms. It was found the digital technology introduction didn`t help to minimize the human factor and didn`t ensure the educational stuff into the educational process. The work identified the results of Russian education transformation processes after COVID-19, as well as the transition specifics from education traditional forms to innovative ones, their social consequences, in particular, the distance education introduction impact on psychophysical health.

References:

1. Alekseeva M.I. Traditions and Innovations in Modern University Education. Humanitarian Research. 2017. No. 4. URL: https://human.snauka.ru/2017/04/23493

2. Uvarov A.Yu., Gable E., Dvoretskaya I.V., et al. Challenges and Prospects of Digital Transformation of Education. National Research University Higher School of Economics, Institute of Education. Edited by A.Yu. Uvarov, I.D. Frumin. Moscow: Publishing House of the Higher School of Economics, 2019. 343 p.

3. Grunt E.V., Belyaeva E.A., Lissitsa S. Distance Education in the Context of a Pandemic: New Challenges for Russian Higher Education. Prospects of Science and Education. 2020;5 (47):45–58.

4. Rezer T.M. Transformations of Teaching Activities during the Pandemic. Development Strategies for Social Communities, Institutions, and Territories. Proceedings of the VIII International Scientific and Practical Conference: in two volumes. Vol. 1. Ed. by A.P. Bagirov, Yekaterinburg, 2022. pp. 340–343.

5. Romanova Z.L. Problems and Prospects of Using Online Learning Technologies during the COVID-19 Pandemic. Bulletin of St. Petersburg State Institute of Culture. 2022;1 (50):124–129.

6. Parkhomenko A.N., Ageeva Yu.V., Maloletkova A.A., Shemonaev V.I. Analysis of the Educational Process during the COVID-19 Pandemic in Dental Departments. Modern Problems of Science and Education. 2021. No. 1. URL: https://science-education.ru/article/view?id=30444

7. Lukashin Yu.V., Chernyaeva T.N. Risks of Socialization of Children and Adolescents in Conditions of Forced Self-Isolation (During the Coronavirus Pandemic). Society: Sociology, Psychology, Pedagogy. 2021;9:111–118.

8. Rogacheva P.S., Semergey S.V. Problems of Distance Education During a Pandemic. Bulletin of Maikop State Technological University. 2020;12(4):85–93.

9. Sunnatova R.I. Experience of Distance School Learning: Possible Risks to the Success of Students’ Socialization. Society: Sociology, Psychology, Pedagogy. 2020;77(9):69–75. DOI: https://doi.org/10.24158/spp.2020.9.12

The relationship between AGILE technology and the classical management cycle in the methodology of the system-activity approach

DOI: 10.33917/mic-6.125.2025.21-34

This article examines the relationship between agile technology and the classical management cycle in the methodology of the system-activity approach in modern socio-economic conditions. If you study the description of the Agile methodology in various sources and publications, you can see the general requirements for the organization of work during the project implementation process, but there is a lack of a rigid technological form of management according to this methodology. In the absence of such information, it is difficult to be sure that there are no «gaps», and the probability of defects is high if it is not possible to accurately identify the person responsible for the area where the defect occurred. In order to solve this problem, this article attempts to compare Agile methodology with the classical technological cycle of management activities. The paper shows that project management using the method of correlating Agile project management technology with the technological cycle of management activities will make project management organized, on the one hand, and ensure optimal tracking of «nuances» and «details», using the advantages of classical project management and Agile technology, while maximizing their weaknesses. the parties. Agile does not replace the technological management cycle, but complements it where flexibility is needed.

References:

1. Anisimov O.S. 100 shem. OOO Veliky Novgorod Pechatny Dvor, 2013, 156 p.

2. Anisimov O.S. Managerial decision-making. Meteorology and technology. M.: Rosako APK, 2002. 436 p.i.; 22.

3. Anes V., Abreu A., Diaz A., Kalado J. The Agile team assignment model for agile scaling. Informatics Procedia. 2023;219:1634–1641.

4. Beat K. Flexible by accident: how to apply flexible principles in academic research projects. SN Social Sciences. 2024;4(1):2.

5. Das S., Panda M., Rekha Sahu S., Patnaik D. Flexible change management: adaptation of flexible methodologies to enhance the sustainability of the organization. Journal of Research in the Field of Humanities and Social Sciences. 2023;6:41–52.

6. De Abreu J.N.F., Casagrande D.J. Lean manufacturing: combining a flexible approach with the philosophy of lean manufacturing and organizational efficiency. Revista Sistematica. 2024;14(6):1442–1453.

7. Excel in Chukvura. Flexible privacy in practice: integration of CCPA and GDPR within flexible frameworks in the US technology arena. International Journal of Scientific Research Updates. 2024;7(2):024–036.

8. Findsrud R. Flexible approach to innovation in the service sector: creating valuable innovations in the service sector with flexible integration of resources. The journal of value Creation. 2020;6(2):190–207.

9. Helmlinger P. Flexible transformation: a case study at an early stage of flexible implementation. Our economy. 2023;69(1):56–67.

10. Neuman M., Kuchel T., Ph.D. Diebold, Schenn E.M. Collision with flexible culture: identification of problems in the development of flexible thinking in organizations. Computer Science and information systems. 2024;21(3):1013–1031.

Integration of wind energy as a mechanism for prolonging coal-fired power generation at the Krasnokamensk CHP

DOI: 10.33917/mic-6.125.2025.35-46

This article analyzes the prospects of integrating renewable energy sources into Russia’s power systems, which are facing the depletion of traditional generation resources. Using the Krasnokamensk CHP plant – critical for the Zabaykalsky Krai – as a case study, the paper explores a hybrid solution involving wind power installations to offset coal shortages. The study evaluates the techno-economic aspects of this approach, including the use of the Weibull distribution function to accurately assess the wind energy potential of the region. It is demonstrated that a synergy between wind power and CHP is the optimal strategy for extending the operational life of the plant, diversifying the fuel mix, and achieving sustainable development goals.

References:

1. International Energy Agency. Coal 2024: Analysis and Forecast to 2027. Paris: IEA, 2024. 188 p. URL: https://www.iea.org/

2. The Global Economy. URL: https://www.theglobaleconomy.com/

3. Power Systems of Russia. Website of the System Operator of the Unified Energy System. URL: https://www.so-ups.ru/functioning/ups/ups2024/

4. Ryabov G. A., Dolgushin I. A., Gutorov V. F. Developments Justifying the Creation of New Generation Coal CHP Plants. Modern Science. Moscow, 2012. pp. 31–35.

5. Online platform EnergyBase. Technological Equipment of the Krasnokamensk CHP of PPGHO. URL: https://energybase.ru/power-plant/chp-ppgho-krasnokamenskaya/process-facilities#unit-947

6. Annual Report of PJSC «PPGHO» for 2023. URL: https://priargunsky.armz.ru/images/File/priargunsky/2024/Godovoy_otchet_2023.pdf

7. Truck Queues Form at the Urtuy Coal Mine in Zabaykalsky Krai. Not Everyone Manages to Buy Coal. Chita Ru. URL: https://www.chita.ru/text/economics/2024/11/08/74312840/

8. Zhukov P.A., Ilkovsky K.K. Providing the Far East with Electricity Using Wind Power Stations: The Case of Sovetskaya Gavan in Khabarovsk Krai and Nakhodka in Primorsky Krai. Microeconomics. 2025;3:110–118.

Features of financial and economic modeling of mining company activity

DOI: 10.33917/mic-6.125.2025.47-57

The current stage of economic development in the country increases the role of financial and economic modeling in the process of making managerial decisions. A well-formed model makes it possible to predict economic results in the long term, determine development priorities, and optimize sources of financing for the organization’s activities. The peculiarity of financial and economic modeling of the mining enterprise is expressed in the industry specifics, which consists in taking into account the influence of fundamental natural factors on the result of the activity of the research object. Such factors include the mining, geological, geographical and economic conditions of the deposit, as well as the physico-chemical properties of minerals and host rocks. The article presents the main differences between financial and economic modeling of a mining enterprise and a standard industrial enterprise. The definition of the «financial and economic model of a mining enterprise» and the basic principles of its compilation are proposed. The algorithm and structure of the model are described. The software that facilitates the rapid and high-quality compilation of the model is indicated.

References:

1. Simonova V.L., Samoilova A.A. Development of interfirm interactions. Journal of Economic Theory. 2017;3:165–170.

2. Dergachev A.L. The role and significance of the mineral resource complex for national economies: solid minerals. Bulletin of Moscow University. Series 4. Geology. 2020;3:3–11.

3. Gross domestic product (in 2021 prices) 2011–2024. URL: https://rosstat.gov.ru/storage/mediabank/VVP_god_s1995-2024.xlsx

4. Kozlov A.A. The mineral resource complex accounts for 40% of budget revenues. Parliamentary newspaper. URL: /https://www.pnp.ru/economics/52496088-kozlov/

5. Order of the Government of the Russian Federation of July 11, 2024 No. 1838-r «On the Strategy for the Development of the Mineral Resource Base of the Russian Federation until 2050». Collected Legislation of the Russian Federation. 2024. No. 53 (Part II).

6. Chernysh A. Financial and Economic Model: 10 Development Rules. URL: https://krconsult.org/read/finansovo-ekonomicheskaya-model-10-pravil-razrabotki/

7. Kavyrshina O.A. Principles and Problems of Forming a Financial and Economic Model of an Industrial Enterprise / O. A. Kavyrshina, O. V. Khoroshilova. Bulletin of the Voronezh State Technical University. 2013;9(6–2):130–134.

8. Ryazanov I.E. Financial and economic model of the organization: conceptual content and sustainability issues. Science and practice in the modern world: Proceedings of the II International scientific and practical conference, Chistopol, April 30, 2015. Chistopol: Brig Publishing House, 2015. pp. 119–126.

9. Order of the Ministry of Natural Resources of the Russian Federation of December 11, 2006, No. 278 «On approval of the Classification of reserves and forecast resources of solid minerals». URL: https://base.garant.ru/12151221/?ysclid=meu58yxn6 h925347950

Economic model for the implementation of early degassing of high-gas coal seams

DOI: 10.33917/mic-6.125.2025.58-63

This article is devoted to the development and analysis of an economic model for the implementation of early degassing of highly gaseous coal seams. In the context of constantly increasing requirements for ensuring the safety of mining operations, as well as reducing environmental and man-made impacts, the use of coal seam degassing methods at the stages of their development is of particular importance. Early degassing can significantly reduce the level of gas content in the working horizons, increase the safety of mine operation and reduce the cost of subsequent degassing and elimination of threats. The paper presents the basic principles of forming an economic model that takes into account all stages of the implementation of degassing measures. Special attention is paid to analyzing the costs of implementing degassing technologies, assessing the economic effectiveness of measures, taking into account possible risks and uncertainties.

References:

1. Zolotykh S.S., Karasevich A.M. Problems of commercial methane production in the Kuznetsk coal basin. M.: ISPIN, 2002. 570 p.

2. Kuzina E.S., Mirzabalaev R.V. Problems of development of high–gas coal deposits in Russia/ Ugol journal. 2025;3:140–144. DOI: 10.18796/0041-5790-2025-3-140-144

3. Kuzina E.S., Ilyin M.V., Mirzabalaev R.V. The concept of early degassing of coal seams for the development of the coal industry and the economy of the region. Microeconomics. 2025;1:96–102. DOI: 10.33917/mic-1.120.2025.96-102

4. Slastunov S.V., Kolikov K.S., Sadov A.P., Khautiev A.M.B., Komissarov I.A. Ensuring the safety and intensive development of gas-bearing coal seams based on their complex degassing preparation. Mining Information and Analytical Bulletin (scientific and technical journal). 2023;2:152–166.

5. The program for the development of the coal industry for the period up to 2035, approved by Decree of the Government of the Russian Federation dated June 13, 2020 No. 1582-r. URL: https://www.consultant.ru/document/cons_doc_LAW_355241/

The evolution of views on the scientific organization of work and trends in the development of modern management ontologies and manager values

DOI: 10.33917/mic-6.125.2025.64-77

This article examines the evolution of views on the scientific organization of labor and trends in the development of modern management ontologies and manager values in modern socio-economic conditions. This paper examines the achievements of Soviet theorists and practitioners of the first period, namely A.K. Gastev, P.M. Kerzhentsev, A.A. Bogdanov, who were the forerunners of modern automation and digitalization of production. The paper shows that among foreign management theorists such as F. Taylor, M. Weber, H. Fayol, H. Gant, H. Ford, P. Drucker and others, great attention was also paid to the scientific organization of work. In particular, Bogdanov’s developments have found practical application in the West in the development of network planning methods. The paper shows that the ideas of A.K. Gastev, P.M. Kerzhentsev, A.A. Bogdanov are still relevant in many ways, for example, on standardization of products, on working conditions, on the rational use of employee and supervisor time. The paper shows that it is the area related to the use of analytical objects that is a promising area of research for modern management. Artificial subjectivity will be the subject of consideration by management schools of the future. It is shown that attention in management theory will shift towards discussing management ontologies and manager values. The relations concern both management itself and managed objects – enterprises, branches of the national economy, the interrelation of industries within the country, the interrelation of industry and the spheres of education, culture, and economics. Moreover, the methods of developing ontologies will not be empirical, but will be deduced theoretically. This is what will inevitably determine a qualitative leap in management theory, and then in the practice of Russian management.

References:

1. Anisimov O.S. 100 shem. OOO Veliky Novgorod Pechatny Dvor, 2013, 156 p.

2. Anisimov O.S. The subjective space in game modeling is the world of psychology. 2015;3 (83):174–182.

3. Bulanova M.B. Gastev Alexey Kapitonovich. In the collection: Sociology of Russia in faces: history and modernity. The encyclopedic edition. Moscow, 2019. pp. 130–131.

4. Bulanova M.B. N. A.K. Gastev and P.M. Kerzhentsev: the experience of reconstructing ideas about the organization of labor. In the collection: IV Gastev readings. Moscow, 2022. pp. 26–31.

5. Verna V.V., Darchich A.V. The culture of working time management: P.M. Kerzhentsev’s contribution to the theory of domestic time management. Tavrichesky studios. 2024;39:9–13.

6. Golubkina T.M., Kulygin I.V. The concept of time management by A.K. Gastev. Economics and entrepreneurship. 2024;2 (163):1034–1036.

7. Elina A.M. Kerzhentsev P.M. on problems of management, theory of organizational activity and scientific organization of labor. In the book: Labor Economics and Ergonomics: theory and Practice. Tambov, 2023. pp. 152–169.

8. Ivankova M.E., Pyagai E.S. Alexey Kapitonovich Gastev. The idea of «social engineering», its relevance in modern organizations. In the collection: Young researcher: challenges and prospects. Moscow, 2024. pp. 232–234.

Modern educational and professional trends in the youth labor market

DOI: 10.33917/mic-6.125.2025.78-87

During the period under review (2000–2025), the Russian education system underwent significant changes that reflected the socio-economic transformations of the state. The general trends included an increase in the population’s desire for both secondary specialized and higher education, the emergence of new educational trends, the personalization of education, and the reduction of gender barriers. This period was characterized by the development of new, flexible forms of employment in the youth labor market.

References:

1. Resolution of the Government of the Russian Federation of December 23, 2005 No. 803 «On the Federal Target Program for Education Development for 2006–2010». Collected Legislation of the Russian Federation. 2006. No. 2. Art. 186. URL: https://base.garant.ru/189041/

2. Resolution of the Government of the Russian Federation of April 15, 2014 No. 295 «On Approval of the State Program of the Russian Federation “Education Development” for 2013–2020». Collected Legislation of the Russian Federation. 2014. No. 17. Art. 2058. URL: https://base.garant.ru/57406915/

3. Resolution of the Government of the Russian Federation of May 23, 2015 No. 497 «On the Federal Target Program for Education Development for 2016–2020». Collected Legislation of the Russian Federation. 2015. N 22. Art. 3232. URL: https://base.garant.ru/71044750/

4. Resolution of the Government of the Russian Federation of December 26, 2017 N 1642 (as amended on July 24, 2025) «On Approval of the State Program of the Russian Federation “Education Development”». Collected Legislation of the Russian Federation. 2017. N 22. Art. 2. URL: https://base.garant.ru/71848426/

5. Education Indicators: 2024. Statistical Digest /N.V. Bondarenko, T.A. Varlamova, L.M. Gokhberg, et al. Moscow: ISSEK HSE, 2024. 416 p.

6. Education Indicators: 2025. Statistical Digest /N.V. Bondarenko, T.A. Varlamova, L.M. Gokhberg, et al. Moscow: ISSEK HSE, 2025.

7. Career Guidance in Schools in Your Region. URL: https://profilum.ru/

8. Gender Inequality in Curricula. Wikipedia. URL: https://translated.turbopages.org/proxy_u/en-ru.ru.cddd15eb-6924700d-6906f866-74722d776562/https/en.wikipedia.org/

9. Separate Education: Why Boys and Girls Are Taught Separately. URL: https://trends.rbc.ru/trends/education/65d701e29a794746fd63d305

10. Sozinova M.V. On the Influence of Gender Stereotypes on Young People’s Choice of Future Profession. Psychology and Pedagogy: Methodology and Problems of Practical Application. 2012. No. 26. URL: https://cyberleninka.ru/article/n/k-voprosu-o-vliyanii-gendernyh-stereotipov-na-vybor-molodezhyu-buduschey-professii

11. The Relationship between Gender Stereotypes and Career Development. URL: https://moluch.ru/archive/446/98259

Cartel collusion in the public procurement system: essence, signs and detection mechanisms

DOI: 10.33917/mic-6.125.2025.88-96

The problems of cartel agreements in the public procurement system are analyzed. The causes of cartel collusion and their impact on the economic security of the state are investigated. The system of factors determining the cartel agreement is presented, the author’s definition of the concept of cartel agreement is given.

References:

1. Official website of the Unified Information System in the Sphere of Procurement. URL: https://zakupki.gov.ru/epz/main/public/home.html

2. Official website of the Federal Antimonopoly Service. URL: https://fas.gov.ru/news/33767

3. Puzyrevsky S.A. Competition Law of Russia: Textbook. Moscow: Prospect, 2021. 640 p.

4. Kinev A.Yu. Cartels and Other Anticompetitive Agreements. Moscow; Berlin: Infotropic Media, 2011. 352 p.

5. Raizberg B.A. Modern Socioeconomic Dictionary. SPb: INFRA-M, 2009. 209 p.

6. Marshall R.C., & Marx L.M. The economics of collision: Cartels and bidding rings, Mit Press, 2012. URL: https://www.researchgate.net/publication/227458370

7. Treaty of Amsterdam amending the Treaty on European Union, the Treaties establishing the European Communities and certain related acts, 10 November 1997, pp. 1–144. URL: https://eur-lex.europa.eu/eli/treaty/ams/sign

Econometric modeling of forecasting processes of social tension and protest activity in the state

DOI: 10.33917/mic-6.125.2025.97-113

This article uses econometric modeling methods to examine a set of topological factors encompassing various mechanisms of the socio-economic system’s functioning. Correlation and regression analysis are used to determine linear relationships and establish the level of objective significance of factors influencing the formation of an active field of social protest in society. A set of econometric forecasting models has been developed, using the characteristics of scenario criteria for the socio-economic and political development of the state as exogenous variables influencing the degree of social protest in society. Three scenarios have been calculated based on these models: the baseline (the most probable), an optimistic scenario, and a pessimistic scenario. From an economic security perspective, the results obtained have been used to formulate a short-term forecast that reflects the dynamics of protest activity in the Russian Federation from 2022 to 2026 inclusive. Furthermore, at the final stage of the experiment, threshold values were determined for all the factors under study. This, combined with the proposed economic and mathematical method, provides a set of tools for making management decisions in the face of growing social tension.

References:

1. Alekseenok A.A., Baranochnikov V.A. The Influence of the Middle Class on the Level of Social Tension in Modern Society. Tula State University News. Humanities. 2012. No. 1-1. URL: https://cyberleninka.ru/article/n/vliyanie-srednego-klassa-na-uroven-sotsialnoy-napryazhennosti-v-sovremennom-obschestve

2. Baranova G.V. A Model for Assessing Protest Forms of Socio-Political Activity. Theories and Problems of Political Research. 2016;4:97–108.

3. Beshlyk V.E., Svetlakov A.G. The Concept of «Justice» as an Element of the Economic Security System. Competitiveness in the Global World: Economics, Science, and Technology. 2022;11:217–223.

4. Gross National Income (million rubles, annual indicator value). EMISS State Statistics. URL: https://www.fedstat.ru/indicator/30947

5. Gross National Income per capita in countries of the world. URL: https://svspb.net/danmark/vnd-stran-na-dushu-naselenija.php

6. Total registered crimes in the Russian Federation. Prosecutor General’s Office of the Russian Federation. Legal Statistics Portal. URL: http://crimestat.ru/offenses_table

7. Bank of Russia Roadmap for the Development of Financing for Small and Medium-Sized Businesses. URL: https://cbr.ru/Content/Document/File/144001/Road_Map_development_2023-24.pdf

8. Housing in Russia. Federal State Statistics Service. URL: https://rosstat.gov.ru/storage/mediabank/Jil_hoz_2022.pdf

9. Healthcare in Russia. Federal State Statistics Service. URL: https://rosstat.gov.ru/folder/210/document/13218

10. Corruption Perceptions Index. URL: https://transparency.org.ru/search/

11. Quality of Life Index by Country. Numbeo. URL: https://www.numbeo.com/quality-of-life/rankings_by_country.jsp?

12. Consumer Price Indices in the Russian Federation in 1991–2022. Federal State Statistics Service. Federal State Statistics Service. URL: https://rosstat.gov.ru/storage/mediabank/ind_potreb_cen_05.html