DOI: 10.33917/mic-2.127.2026.53-60

This scientific article systematizes the key characteristics of networked production systems through a complex set of technical, technological, organizational, information, and management components. Four vectors for implementing the network approach are identified: networked resource combination; networked delivery of finished parts; creating conditions for network participants through a rating system, crowdsourcing, and distributed project financing; and creating a favorable climate for the digital retirement of obsolete elements, ensuring dynamic updating of the network composition and the redistribution of resources in favor of the most effective participants. The author’s methodology and results for calculating the economic impact are also presented.

References:

1. Abdikeev N.M. The concept of competitive value chains in production systems as an institutional structure functioning on network principles / N.M. Abdikeev, A.A. Losev, A.I. Gaidamaka. Computational Nanotechnology. 2019;6(3):61-67. DOI 10.33693/2313-223X-2019-6-3-61-67.

2. Beletskaya S.Yu., Bokova N.V. Principles of algorithmization of problems of optimal design of complex production systems. Optimization and modeling in automated systems: interuniversity collection of scientific papers. Voronezh: Voronezh State Technical University, 2009. pp. 105-112.

3. Wang C. Approaches to the principles of operation of a network organization in an automobile cluster. Scientific aspect. 2023;10(12):1194-1206.

4. Dorogov Yu.V., Ionov B.P. Optimization of production processes of a shipbuilding design bureau based on the principles of functioning of an electronic information logistics system. Marine Bulletin. 2023;1(85):47-51. DOI 10.56192/18123694_2023_1_47.

5. Zhukovskaya I.V. Segmentation of the service market: problems and solutions. Microeconomics. 2021;2:32-37.

6. Losev A.A. System of models of an inter-industry digital platform for managing and optimizing the cooperation of high-tech networked production systems / A.A. Losev, N.M. Abdikeev, A.I. Gaidamaka. Managing the development of large-scale systems, October 1-3, 2019 / Under the general editorship of S.N. Vasiliev, A.D. Tsvirkun. Moscow: V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, 2019. pp. 390-392. DOI 10.25728/mlsd.2019.1.0390.

7. Myasnikova, Yu.V. Improving the efficiency of production systems for functional control of complex products based on the formation of information systems: specialty 05.02.22 — Organization of production (by industry): dissertation for the degree of candidate of technical sciences. Samara National Research University named after Academician S.P. Korolev, Samara, 2019. 177 p.

8. Maltseva M.N., Tsvirkunov D.I. Application of lean manufacturing principles in the design of management systems and production systems. Certification. 2017;2:9-13.

9. Development of models of production and business processes of network enterprises based on multi-agent systems / Yu.F. Telnov, V.A. Kazakov, A.V. Danilov, A.A. Bryzgalov. Software products and systems. 2023;4:632-643. DOI 10.15827/0236-235X.144.632-643.

DOI: 10.33917/mic-2.127.2026.44-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

[1-21] See in no. 1/2026, p. 50-52.

22. Rittel H.W.J., Webber M.M. Dilemmas in a General Theory of Planning. Policy Sciences. 1973;4(2):155-169.

23. Keeney R.L., Raiffa H., Rajala D.W. Decisions with Multiple Objectives: Preferences and Value Trade-Offs. IEEE Transactions on Systems, Man, and Cybernetics. 1977. p. 403 URL: https://www.researchgate.net/publication/3116639_Decisions_with_Multiple_Objectives_Preferences_and_Value_Trade-Offs

24. Taleb N.N. The Black Swan. Under the Sign of Unpredictability. Moscow: KoLibri, Azbuka-Atticus, 2012. 736 p.

25. Robinson J.B. Futures Under Glass: A Recipe for People Who Hate to Predict. Futures. 1990;22(9):820-842. DOI: 10.1016/0016-3287(90)90018-D

26. Gordeev V.V., Abramov V.I. Business Process Forecasting as a Decision-Making Tool within a Proactive Management Approach. Economics and Management. 2025;31(7):893-902. DOI 10.18334/evp.6.4.123876

27. Nikogosyan A.Z., Abramov V.I. Remote Dynamic Control in Transport Logistics: The Role and Benefits of the Internet of Things. Economics and Management: Problems, Solutions. 2025;5(4(157)):183-195. DOI 10.36871/ek.up.p.r.2025.04.05.022.

28. Godet M. Creating Futures: Scenario Planning as a Strategic Management Tool. London: Economica, 2001. 269 p.

29. Ageev A.I., Grabchak E.P., Loginov E.L. A New Model of Managing the Russian Economy in the Context of Hybrid Risks and Threats. Economic Strategies. 2025;5(203): 6-19. DOI: https://doi.org/10.33917/es-5.203.2025.6-19

30. McGrath R.G. The End of Competitive Advantage (translated from English by V.N. Egorova). Moscow: Binom. Lab. of Knowledge, 2013. 248 p.

31. Abramov V.I., Gordeev V.V., Stolyarov A.D. Digital Transformation of Industrial Enterprises into Digital Business Ecosystems: Structural Components and Practical Aspects of Implementation. Fundamental Research. 2024;9:78-85. DOI 10.17513/fr.43680

32. Abramov V.I., Stolyarov A.D. Digital Business Ecosystems: Typology and Design. Modern Economy Success. 2025;6:370-379. DOI 10.18334/vinec.15.4.124210

DOI: 10.33917/mic-1.126.2026.42-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

1. Glazyev S.Yu. State and Prospects of the Sixth Technological Wave in the Russian Economy. Economics of Science. 2024;10(2):11-29. DOI 10.22394/2410-132X-2024-10-2-11-29

2. Schwab K. The Fourth Industrial Revolution. Moscow: Eksmo, 2021. 208 p.

3. Cascio J. Facing the Age of Chaos. Medium. 2020. URL: https://medium.com/@cascio/facing-the-age-of-chaos-b00687b1f51d

4. Gantz J., Reinsel D. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. IDC Analyze the Future. 2012. pp. 1-16. URL: https://www.cs.princeton.edu/courses/archive/spring13/cos598C/idc-the-digital-universe-in-2020.pdf

5. Simon H.A. Designing Organizations for an Information-Rich World. Computers, Communications, and the Public Interest (ed. by M. Greenberger) Baltimore: The Johns Hopkins Press, 1971. pp. 37-72.

6. Abramov V.I., Arefyev D.V. Ecosystem Development of Enterprises: Opportunities, Risks, and Features of Assessing Their Digital Maturity. New in Economic Cybernetics. 2025;1:70-84. DOI 10.5281/zenodo.15165454

7. Teece D.J. Business models and dynamic capabilities. Long Range Planning. 2018;51:1. DOI: 10.1016/j.lrp.2017.06.007

8. Knight F.H. Risk, Uncertainty, and Profit. Moscow: DELO Publishing House, 2003. 360 p.

9. Ackoff R.L. Management Misinformation Systems. Management Science. 1967;14(4). URL: http://dx.doi.org/10.1287/mnsc.14.4.B147

10. Kahneman D. Thinking, Fast and Slow. Moscow: AST, 2011. 656 p.

11. McAfee A., Brynjolfsson E. The Second Machine Age. Work, Progress, and Prosperity in the Age of New Technologies. Moscow: AST, 2017. 384 p.

12. Senge P. The Fifth Discipline: The Art and Practice of the Learning Organization. Moscow: MIF. Business, 2018. 496 p.

13. Tett D. The Curse of Efficiency: The Mine Shaft Syndrome. How to Overcome Disunity in Life and Business. Moscow: Olimp-Business, 2017. 336 p.

14. Page S.E. The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton: Princeton University Press, 2007. 456 p.

DOI: 10.33917/es-6.204.2025.50-55

The article examines the role of digital factors in enhancing labor productivity as one of the key elements of technological and economic development. Using the example of the Kyrgyz Republic, it demonstrates that the implementation of digital technologies and the development of digital infrastructure contribute to improving efficiency; however, without the simultaneous modernization of fixed assets and the training of qualified personnel, the effect of digitalization remains limited. The article also proposes the creation of an integrated model of digital factors influencing labor productivity at the macro, meso, and micro levels, which would enable a more comprehensive assessment and management of digital transformation processes.

References:

1. Telyatnikova T.V., Kipervar E.A., Trunkina L.V. Vyyavlenie faktorov, vliyayushchikh na uroven’ proizvoditel’nosti truda, kak osnova formirovaniya ustoychivogo razvitiya predpriyatiya [Identifying Factors Influencing Labor Productivity as a Basis for the Formation of Sustainable Enterprise Development]. Ekonomika truda, 2024, vol. 11, no 3, pp. 361–374, DOI 10.18334/et.11.3.120672

2. Mkrtychan Z.V. Klassifikatsiya faktorov, okazyvayushchikh vliyanie na proizvoditel’nost’ truda [Classification of Factors Influencing Labor Productivity]. Sibirskaya finansovaya shkola, 2020, no 3(139), pp. 23–30.

3. Kontseptsiya tsifrovoy transformatsii Kyrgyzskoy Respubliki na 2024–2028 gody [Concept of Digital Transformation of the Kyrgyz Republic for 2024– 2028]. Ministerstvo yustitsii KR, available at: https://cbd.minjust.gov.kg/30-164/edition/6414/ru?ysclid=mgi8iwipwl116850581

4. Tsifrovoy kodeks Kyrgyzskoy Respubliki ot 31 iyulya 2025 g. N 178 [Digital Code of the Kyrgyz Republic of July 31, 2025, No. 178]. Ministerstvo yustitsii KR, available at: https://cbd.minjust.gov.kg/3-48/edition/35412/ru

5. Rasporyazhenie Kabineta ministrov KR ot 23 iyulya 2024 g. N 4 [Order of the Cabinet of Ministers of the Kyrgyz Republic dated July 23, 2024 No. 4]. Ministerstvo yustitsii KR, available at: https://cbd.minjust.gov.kg/57-19271/edition/14721/ru?ysclid=mgjn8uo4yg604258729

6. Indeks razvitiya elektronnogo pravitel’stva (srednevzveshennyy): Kirgiziya: Po dannym OON [E-Government Development Index (weighted average): Kyrgyzstan: According to UN data]. Statbase, available at: https://statbase.ru/data/kgz-e-government-development-index/

7. Tsifrovizatsiya v Kyrgyzstane: byudzhet v 600 mln somov na 2024 god [Digitalization in Kyrgyzstan: A 600 Million Som Budget for 2024]. News KG, available at: https://news.kg/2024/04/03/cifrovizacija-v-kyrgyzstane-bjudzhet-v-600/

8. Kyrgyzstan v tsifrakh — 2025: Natsional’nyy statisticheskiy komitet [Kyrgyzstan in Figures — 2025: National Statistical Committee], available at: https:// stat.gov.kg/media/publicationarchive/4943edd9-da6d-4075-88f9-8b667e64c8cb.pdf

9. Brovko N.A., Borisenko N.A. Ekonomicheskiy rost v Kyrgyzskoy Respublike cherez prizmu proizvoditel’nosti truda [Economic Growth in the Kyrgyz Republic through the Prism of Labor Productivity]. Ufimskiy gumanitarnyy nauchnyy forum, 2023, no 4(16), pp. 40–55.

DOI: 10.33917/mic-5.124.2025.5-12

In modern conditions of globalization and digitalization of the world economy, the issues of ensuring digital security are becoming particularly relevant. The digital transformation of economic relations, accompanied by the active introduction of information technology, creates new challenges for the international economic system, especially during periods of crisis. The purpose of the research is to develop the theoretical and methodological foundations for ensuring the digital security of the international economic system in the context of crisis phenomena. Digital security is a comprehensive system of measures aimed at protecting information assets and ensuring the sustainable functioning of the economic system in the context of digitalization. In the context of the international economy, it includes protecting critical infrastructure, ensuring confidentiality and data integrity, preventing cyber-attacks and unauthorized access, as well as protecting payment systems and financial transactions. The crisis phenomena significantly affect the level of digital security, which is confirmed by increased cyber-attacks on remote workers, an increase in cases of fraud with government payments, disruption of critical systems and an increase in the vulnerability of payment systems. The crisis phenomena create new challenges for the digital security system, requiring rapid response and adaptation of existing protection mechanisms. At the same time, international cooperation is a key factor in ensuring digital security, especially in the context of globalized economic relations.

References:

1. Kozhina V.O., Tolmacheva I.V. Digital data reflecting global economic crises. Global Economy and Global Finance. 2024;4:14–23.

2. Chatterjee S., Sarker S. A possible conceptualization of the information systems (IS) artifact: A general systems theory perspectival. Information Systems Journal. 2021;4:550–578.

3. Grigoriev L.M. Spring of Reassessment: How International Organizations’ Vision of the Global Economy is Changing. Modern Global Economy. 2024;1:23–44.

4. Zavriev S.K., Borisova O.V. COVID-19 Pandemic: Economic and Political Consequences. Global Economy and International Relations. 2024;3:128–136.

5. Auzan A.A. Digital Economy as Economy: Institutional Trends. Moscow University Bulletin. Series 6. Economy. 2019;6:12–19.

6. Egina N.A., Balyasova A.A. Problems and Prospects of Forming the Institutional Environment of the Digital Economy. Economy and Management: Problems, Solutions. 2020;8:16–33.

7. Lapidus L.V. Challenges of the Digital Economy as Triggers of Digital Transformation: Evolutionary Scale and Cause-Effect Relationships. Intelligence. Innovations. Investments. 2023;3:11–27.

8. Sergeev E. A. Transformation of the Foreign Economic Policy of the European Union in the Context of Open Strategic Autonomy. The Modern World Economy. 2024;2:24–40.

9. Heiets V. Economic socialization on the way to solidary construction of reality. Sociology: theory, methods, marketing. 2024;4:27–50.

DOI: 10.33917/mic-2.121.2025.118-126

The article presents the main opportunities that digital technologies create in the social sphere. The author illustrates what opportunities digital transformation creates in this area: many processes can be automated, citizens can receive social services online without visiting government agencies Transparency and control over the provision of social services is increased, organizations providing social services can reduce costs by introducing new technologies. At the same time, there are a number of barriers to the implementation of digital technologies in this area. This article analyzes the main ones: digital inequality, lack of necessary infrastructure, financial constraints, digital skills of employees, the necessary regulatory framework has not been created. The use of digital technologies in social support of the population creates many opportunities, but for successful digital transformation of this sphere it is necessary to take into account all the limitations characteristic of the social sphere.

References:

1. Shah N. et al. The role of digital technology and digital innovation towards firm performance in a digital economy. Kybernetes. 2024;53(2):620-644.

2. Popov E.V., Semyachkov K.A. Instrumentation for the development of digital technologies in the public sector. Regional Economy: Theory and Practice. 2018;16(7 (454)):1320-1337.

3. Smotritskaya I.I. Public administration in the context of digital economy development: strategic challenges and risks. STAGE: economic theory, analysis, practice. 2018;4:60-72.

4. Milakovich M.E. Digital governance: New technologies for improving public service and participation. Routledge, 2012.

5. West D.M. Digital government: Technology and public sector performance. Princeton University Press, 2005.

6. Savaget P., Chiarini T., & Evans S. Empowering political participation through artificial intelligence. Science and Public Policy, 2018.

7. Afanasyeva A.S. E-government capabilities in Singapore. Theory and practice of social development. 2015;20:174-176.

8. Shakhabov I.V., Melnikov Yu.Yu., Smyshlyaev A.V. Features of the development of digital technologies in healthcare in the context of the COVID-19 pandemic. Scientific review. Medical sciences. 2020;6:66-71.

9. Senbekov M. et al. The recent progress and applications of digital technologies in healthcare: a review. International journal of telemedicine and applications. 2020;1.

10. Mitchell M., Kan L. Digital technology and the future of health systems. Health Systems & Reform. 2019;5(2):113-120.

11. Haleem A. et al. Understanding the role of digital technologies in education: a review. Sustainable operations and computers. 2022;3:275-285.

12. Timotheou S. et al. Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and information technologies. 2023;28(6):6695-6726.

13. Di Pietro, G., Biagi F., Costa P., Karpiński Z., & Mazza J. The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets. 2020. Vol.30275.

DOI: 10.33917/es-1.199.2025.74-79

The article contains, for discussion purposes, an interpretation of such terms as “data economy” and “digital transformation” involved in the national project “Data Economy and Digital Transformation of the State”. The article examines the approach to forming the organizational structure of a new generation for the manufacturing sector of the economy based on creation of the global territorially distributed data catalogue and communication environment for industrial products.

References:

1. Treyer V.V. Produktsiya proizvodstvennogo naznacheniya: problemy i resheniya [Industrial Products: Problems and Solutions]. Standarty i kachestvo, 2020, no 3, pp. 58.

2. Glushkov V.M. Makroekonomicheskie modeli i printsipy postroeniya OGAS [Macroeconomic Models and Principles of Construction of OGAS]. Moscow, Statistika, 1975, 160 p.

3. Geyts B. Biznes so skorost’yu mysli [Business at the Speed of Thought]. Moscow, Eksmo-Press, 2001, 480 p.

4. Treyer V.V. O roli kommunikatsionnoy sredy dlya sozdaniya produktsii proizvodstvennogo naznacheniya [On the Role of Communication Environment for Creating Industrial Products]. Ekonomicheskie strategii, 2021, no 1, pp. 122–127, DOI: 10.33917/es-1.175.2021.122-127

DOI: 10.33917/es-2.194.2024.64-69

The COVID-19 pandemic has created a powerful additional incentive for digitalization of education. The article examines the example of strategizing education development through the prism of digitalization presented by the European Union. In the context of increasing global competition for talent in the IT field, the European Union recognizes the current pace of IT personnel training as insufficient and aims to introduce effective measures to attract IT talent from all over the world. This poses a threat of intensified “brain drain” from Russia, which must be taken into account when strategizing the education development in Russia.

References:

1. Good K.D. Multimedia. Digital Roots: Historicizing Media and Communication Concepts of the Digital Age. In G. Balbi, N. Ribeiro, V. Schafer, &C. Schwarzenegger (Eds.). Berlin, De Gruyter, 2021, pp. 59–75.

2. Rensfeldt A.B., Rahm L. Automating Teacher Work? A History of the Politics of Automation and Artificial Intelligence in Education. Postdigital Science and Education, 2023, vol. 5, pp. 25–43. DOI: ht tps://doi.org/10.1007/s42438-022-00344-x

3. European Commission. Communication from the Commission to the European Parliament, the Council, the European economic and social committee and the Committee of the regions 2030 Digital Compass: the European way for the Digital Decade. Brussels, 9.3.2021 COM(2021) 118 final. Brussels:

European Commission, 2021, available at: https://commission.europa.eu/system/files/2023-01/cellar_12e835e2-81af-11eb-9ac9-01aa75ed71a1.0001.02_DOC_1.pdf

4. Makarov V.L., Bakhtizin A.R., Sushko E.D. Agent-orientirovannye modeli kak instrument aprobatsii upravlencheskikh resheniy [Agent-based Models as a Testing Tool for Management Decisions]. Upravlencheskoe konsul’tirovanie, 2016, no 12(96), pp. 16–25.

5. Makarov V.L., Bakhtizin A.R., Sushko E.D., Ageeva A.F. Modelirovanie epidemii COVID-19 — preimushchestva agent-orientirovannogo podkhoda [Simulation of the COVID-19 Epidemic – Advantages of an Agent-Based Approach]. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz, 2020, vol. 13, no 4, pp. 58–73.

6. Kvint V.L. Strategicheskoe upravlenie i ekonomika na global’nom formiruyushchemsya rynke [Strategic Management and Economics in a Global Emerging Market]. Moscow, Biznes Atlas, 2012, 626 p.

7. Kvint V.L. Ideya noosfery Vernadskogo i zakonomernosti, predopredelyayushchie formirovanie global’nogo noosfernogo miroporyadka XXI v. [Vernadsky’s Concept of the Noosphere and the Patterns that Predetermine Formation of the Global Noospheric World Order of the 21st Century]. Upravlencheskoe konsul’tirovanie, 2013, no 5(53), pp. 13–19.

8. European Council. EUCO 14/17 CO EUR 17 CONCL 5. Brussels, European Council, 19 October 2017, available at: https://www.consilium.europa.eu/media/21620/19-euco-final-conclusions-en.pdf

9. Kvint V. Strategy for the Global Market: Theory and Practical Applications. N.Y., L., Routledge-Taylor & Francis, 2015.

DOI: 10.33917/es-1.193.2024.54-61

High dynamics of geopolitical changes, enhanced by expansion of the range of challenges facing the country, have exposed new requirements for government and economic management. The speed with which these requirements should be realized raises the issue of the need for a technological breakthrough in the field of management. And the scale of shifts in the global economy requires special attention to strategic planning, raising its role in the public administration system to a level that will ensure all government bodies’ orientation towards achieving the goals of social development that are being formed right now.

The article dwells on the issues of strategic planning technologization, the challenges to which a new strategic planning system should respond, some risks of digital transformation of the public administration sector and possible directions for overcoming them.

References:

1. Aver’yanov M.A., Evtushenko S.N., Kochetova E.Yu. Tsifrovoe obshchestvo: novye vyzovy [Strategic Planning — Necessary Condition for Developing the Vital Activity of Modern Society]. Ekonomicheskie strategii, 2017, no 6, pp. 166–175.

2. Ukaz Prezidenta Rossiyskoy Federatsii ot 8 noyabrya 2021 g. N 633 “Ob utverzhdenii Osnov gosudarstvennoy politiki v sfere strategicheskogo planirovaniya v Rossiyskoy Federatsii” [Decree of the President of the Russian Federation of November 8, 2021 No. 633 “On approval of theFundamentals of State Policy in the Sphere of Strategic Planning in the Russian Federation”]. Garant, available at: https://www.garant.ru/products/ipo/prime/doc/402915816/

3. Putin prizval rasshirit’ natsional’nye tseli razvitiya [Putin called for expanding national development goals]. RIA Novosti, 2023, 21 dekabrya, available at: https://ria.ru/20231221/putin-1917226925.html?in=l

DOI: 10.33917/es-6.192.2023.52-61

The article presents an analysis of the fundamental problems of civilizational transit with digital transformation of Industry 4.0 and forms the requirements for methodology and technologies for reassembling transdisciplinary engineering knowledge. The authors propose alternative solutions and counterintuitive approaches to transform reindustrialization based on innovative technologies of cognitive collective convergent engineering – C3 engineering, graph-centric platforms of digital genesis, tools, models and systems of collective intellectual work. The new global trend, proposed by Russia, represents the closing technologies of C3 engineering, which have a colossal socio-political resource of ensuring national sovereignty and leadership with the potential for global technological accession.

References:

5. Budanov V.G. Metodologiya sinergetiki v postneklassicheskoi nauke i v obrazovanii [Methodology of Synergetics in Post-non-classical Science and Education]. Izd. 4-e, dop. Moscow, LENAND, 2017, 272 p.

6. Budanov V.G. Obobshchennaya nauchnaya ratsional’nost’: istoki, struktura, perspektivy v tsifrovuyu epokhu: Antropomernost’ kak vyzov i otvet sovremennosti: Kollektivnaya monografiya [Generalized Scientific Rationality: Origins, Structure, Prospects in the Digital Age: Anthropomension as a Challenge and Response of Modernity: Collective Monograph]. Otv. red. V.G. Budanov. Kursk, Universitetskaya kniga, 2022, pp. 44–62.

7. #Gipergraf:Platforma, RKD [#Hypergraph:Platform, RKD]. Moscow, OOO “GiperGrafGrupp”, 2021.

8. Protocol of demonstration of the control system to representatives of the Kalashnikov Concern [Electronic resource], available at: https://7055ce99-63ff-

424d-ab7e-fe27c9fefd34.usrfiles.com/ugd/7055ce_a0898b7345e94386819200c0d4110432.pdf

9. Taxonomic analysis of mandatory reporting of credit organizations of the Central Bank of the Russian Federation [Electronic resource], available at: https://www.grafxm.ru/post/modernizaciya-sistemy-sbora-otchetnosti-kreditnyh-organizacij-v-cb-rf

10. NATO RTO protocols. NATO-RUSSIAN working platform on defense R&T co-operation [Electronic resource], available at: https://7055ce99-63ff-424dab7e-

fe27c9fefd34.usrfiles.com/ugd/7055ce_24f228929de04862aecb27ac452f559c.pdf

11. Expertise and reviews [Electronic resource]. M.: HyperGraphGroup LLC, 2021. URL: ht tps://www.gipergraf.ru/