DOI: 10.33917/es-3.201.2025.98-101

The article examines the concept of an enterprise digital twin (EDT) as an organizational and managerial mechanism based on business capabilities. Business capability is a holistic system for carrying out a specific type of activity, whose behaviour is strategically predetermined in a unique and unambiguous way within an ecosystem and its implementation is variable, including processes, organization and all types of resources. The author proposes a methodology for forming a business capability map using a federalistic approach to integrating data and artificial intelligence (AI) technologies, which ensures high adaptability and ecosystems transparency. Based on theoretical analysis and testing in real companies, practical significance of EDT for vertical and horizontal integration of corporations and, accordingly, management of multi-industry ecosystems is shown.

References:

1. Grieves M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication. 2014.

2. Tao F., Zhang H., Liu A., Nee A.Y.C. Digital Twin in Industry: State-of-the-Art. 2019.

3. Ulrich D., Smallwood N. Capitalizing on Capabilities. Harvard Business Review, 2004.

4. Ross J.W., Weill P., Robertson D. Enterprise Architecture as Strategy: Creating a Foundation for Business Execution. 2006.

5. Kairouz P., McMahan H.B., Avent B., Bellet A., Bennis M., Bhagoji A.N., et al. Advances and Open Problems in Federated Learning. 2021.

DOI: 10.33917/es-3.201.2025.92-97

The article explores digital money characteristics of both central bank and private sector in both advanced and emerging market economies. Newly emerging forms of the private sector electronic money (digital coins, or so-called cryptoassets), such as Bitcoin, have drawn much attention because the underlying distributed ledger technology used therein enables decentralized verification while maintaining cash-like functions.

Meanwhile, some central banks have explored potential application of the distributed ledger technology and issuing their own digital coins for general public or financial institutions – so-called the central bank digital currency initiatives. Over the past 12 months, central bank digital currencies (CBDCs) have transformed from a distant concept into the core of the global economic policy agenda. Debates on CBDC have progressed towards adopting CBDC and its implications for the financial system. Such innovations evidently have serious consequences for the monetary system at both national and global levels.

References:

1. Central bank digital currencies: system design and interoperability. BIS, available at: https://www.bis.org/publ/othp42_system_design.pdf

2. Gross J., Schiller J. A model for central bank digital currencies: Do CBDCs disrupt the financial sector? SSRN Electronic Journal, 2020.

3. Schilling L. Risks Involved with CBDCs: On Cash, Privacy, and Information Centralization, 2019, available at: https://papers.ssrn.com/sol3/papers. cfm?abstract_id=3479035

4. Tercero-Lucas D. Central Bank Digital Currencies and Financial Stability in a Modern Monetary System, 2022.

5. Davoodalhosseini S. Central Bank Digital Currency and Monetary Policy. Journal of Economic Dynamics and Control, 2021, 142, 104150. 10.1016/j. jedc.2021.104150

6. Náñez A., Jorge-Vázquez J., Forradellas R. Central Banks Digital Currency: Detection of Optimal Countries for the Implementation of a CBDC and the Implication for Payment Industry Open Innovation. Journal of Open Innovation Technology Market and Complexity, 2021. 7. 10.3390/joitmc7010072

7. Fernandez-Villaverde J., Sanches D., Schilling L., Uhlig H. Central bank digital currency: Central banking for all? Review of Economic Dynamics, 2020, 41. 10.1016/j.red.2020.12.004

8. Andolfatto D. Assessing the Impact of Central Bank Digital Currency on Private Banks. The Economic Journal, 2020, 131. 10.1093/ej/ueaa073

9. Auer R., Cornelli G., Frost J. Rise of the Central Bank Digital Currencies: Drivers, Approaches and Technologies. SSRN Electronic Journal, 2020, 10.2139/ ssrn.3724070

10. Bindseil U. Tiered CBDC and the Financial System. SSRN Electronic Journal, 2020, 10.2139/ssrn.3513422

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-1.199.2025.66-73

The article examines the change in ideas about technology from 1772, when Johann Beckmann introduced the term “technology” into scientific use, to the present day. A modern approach to forecasting the technology evolution as a certain implementation of a complex self-developing system is proposed. Comparative analysis of technological and biological evolution is carried out. The ar ticle examines a systemic approach to expert forecasting technology as a separate modern direction, within the framework of which the author proposes its hypershell and dwells on the systemic constituent elements of this shell. Eight directions for future research in the field of technology forecasting are examined.

References:

1. Demidchenko V.V. Ponyatie politicheskikh tekhnologiy: sushchnost’, formy i vidy [Concept of Political Technologies: Nature, Forms and Types]. Vlast’, 2015, vyp. 12, pp. 140–142.

2. Kharichkin I.K. O ponyatii “politicheskie tekhnologii” [On the Concept of “Political Technologies”]. Vestnik universiteta, 2013, vyp. 8, pp. 75–78.

3. Lem S. Summa tekhnologiy [Sum of Technologies]. Moscow, Mir, 1968, 608 p.

4. Kul’turologiya. XX vek [Cultural Studies. 20th Century]: Entsiklopediya. Gl. red., sost. S.Ya. Levit. Saint Petersburg, Universitetskaya kniga, 1998, vol. 2: M – Ya. Vol. 2, 1998, 446 p.

5. Heidegger M. Die Frage nach der Technik. Die Kunste im technischen Zeitalter. München, 1954, S. 70–108.

6. Bol’shaya Rossiyskaya entsiklopediya [The Great Russian Encyclopedia]. V 30 t. Moscow, 2004.

7. Gibert P. Théologie en modernité et postmodernité. Recherches de Science Religieuse, 2004, no 3(3), pp. 341, 342.

8. Kononenko B.I. Bol’shoy tolkovyy slovar’ po kul’turologii [Big Explanatory Dictionary of Cultural Studies]. Moscow, Veche, 2003, 509 p.

9. Khorgan D. Profil’: neokhotnyy revolyutsioner [Profile: Reluctant Revolutionary]. Scientific American, 1991, vol. 264, no 5, pp. 40–49. Bibcode: 1991. SciAm. 264 e. 40H.16.

10. Traditsionnaya i sovremennaya tekhnologiya: Filos.-metodol. analiz [Traditional and Modern Technology: Philosophical and Methodological Analysis]. Moscow, IFRAN, 1998, 216 p.

11. Vig D.N. Technology, Philosophy and Politics. Technology and Politics. E. Kraft Michael and J. Vig Norman (eds.). Durham, NC, and London, Duke University Press, 1988, 356 p., pp. 7–15.

12. Kurdyumov S.P. Zakony evolyutsii i samoorganizatsii slozhnykh system [Laws of Evolution and Self-organization of Complex Systems]. Moscow, IPM, 1990, 45 p. Bibliogr.: pp. 36–45. (Preprint. In-t prikl. matematiki im. M.V. Keldysha AN SSSR, no 45.)

13. Shchedrovitskiy G.P. Filosofiya. Nauka. Metodologiya [Philosophy. Science. Methodology]. Moscow, 1997, 642 p.

14. Stepin V.S. Samorazvivayushchiesya sistemy i postneklassichekaya ratsional’nost’ [Self-developing Systems and Post-non-classical Rationality]. Voprosy filosofii, 2003, no 8, pp. 5–17.

15. Tekhnologiya kak vyzov vremeni (izuchenie, ponyatie i tipy tekhnologiy) [Technology as a Challenge of Time (Study, Concept and Types of Technologies)]. Philosophy and Cosmology, 2017, vol. 19, pp. 133–142.

DOI: 10.33917/es-6.198.2024.98-103

Preserving the population and strengthening its health is impossible without introducing new methods of healthcare management, including personalized monitoring, express diagnostics based on machine learning, mathematical and statistical methods of big data analysis, in particular construction of explanatory and predictive models based on strong artificial intelligence. The author provides an assessment of data (morbidity and mortality by causes of death) characterizing the health status of the population, which are freely available on the Internet information and telecommunications network.

The article concludes that it is advisable to apply the correlation analysis method to medical statistical data, since identification of new patterns allows to optimize approaches to early diagnosis and prevention of diseases, and therefore makes a positive contribution to improving the health of the population.

References:

1. Ukaz Prezidenta Rossiyskoy Federatsii ot 7 maya 2024 g. N 309 “O natsional’nykh tselyakh razvitiya Rossiyskoy Federatsii na period do 2030 goda i na perspektivu do 2036 goda” [Decree of the President of the Russian Federation of May 7, 2024 No. 309 “On the national development goals of the Russian Federation for the period up to 2030 and for the perspective up to 2036”]. Ofitsial’nyy sayt Prezidenta RF, available at: http://www.kremlin.ru/acts/bank/50542

2. Zdravookhranenie v Rossii: Statisticheskiy sb.: Federal’naya sluzhba gosudarstvennoy statistiki (Rosstat) [Healthcare in Russia: Statistical Collection: Federal State Statistics Service (Rosstat)]. Moscow, Rosstat, 2023, 181 p. Demoskop. 2024. 30 yanvarya — 12 fevralya, available at: https://www.demoscope.ru/weekly/2024/01017/biblio01.php

3. Rossiyskiy statisticheskiy ezhegodnik: Statisticheskiy sb.: Federal’naya sluzhba gosudarstvennoy statistiki (Rosstat) [Russian Statistical Yearbook: Statistical Collection: Federal State Statistics Service (Rosstat)]. Federal’naya sluzhba gosudarstvennoy statistiki, available at: https://rosstat.gov.ru/folder/210/document/12994

4. O sostoyanii sanitarno-epidemiologicheskogo blagopoluchiya naseleniya v Rossiyskoy Federatsii: Gosudarstvennyy doklad: Federal’naya sluzhba po nadzoru v sfere zashchity prav potrebiteley i blagopoluchiya cheloveka [On the State of Sanitary and Epidemiological well-being of the Population in the Russian Federation: State Report: Federal Service for Surveillance on Consumer Rights Protection and Human Well-being], available at: https://www.rospotrebnadzor.ru/
upload/iblock/fbc/sd3prfszlc9c2r4xbmsb7o3us38nrvpk/Gosudarstvennyy-doklad-_O-sostoyanii-sanitarno_epidemiologicheskogo-blagopoluchiya-naseleniyav-
Rossiyskoy-Federatsii-v-2023-godu.pdf

DOI: 10.33917/es-5.197.2024.70-79

Currently, the topic of super-AI (Artificial General Intelligence or AGI) has captured the world’s press. Some are fascinated by the incredible possibilities, including the creation of a future global government, while others fear the arrival of an alien mind capable of displacing man. The authors show that, as usual, both positions miss the mark. There is no doubt that AI is a fundamentally new tool. Therefore, it can be both extremely useful and immensely dangerous, depending on its application. One thing is clear: innocence has been lost and it will not be possible to rewind it. The world is entering a new phase of development with the enormous potential. However, the transition period threatens with even greater dangers than the first half of the 20th century, when the advent of the internal combustion engine to replace the steam one has led to dramatic shifts in the economy and a change in political dominance against the backdrop of two world wars.

As industrial productivity growth decreases, financialization grows, oppressing the “real” sector, demographics is falling and the world is sliding into wars for dominance against the backdrop of the fading industrial society of the 20th century.

References:

1. Badalyan L.G., Krivorotov V.F. Industrial’nye Srednie veka, ili Est’ li zhizn’ posle industrial’nogo kapitalizma? Chast’ I [Industrial Middle Ages, or Is There Life After Industrial Capitalism? Part I]. Rossiyskiy ekonomicheskiy zhurnal, 2023, no 3, pp. 17–37.

2. Badalyan L.G., Krivorotov V.F. Industrial’nye Srednie veka, ili Est’ li zhizn’ posle industrial’nogo kapitalizma? Chast’ II [Industrial Middle Ages, or Is There Life After Industrial Capitalism? Part II]. Rossiyskiy ekonomicheskiy zhurnal, 2023, no 4, pp. 4–23.

3. Corsini R.J. The Dictionary of Psychology. London, Routledge, 2016. P. 494.

4. Davidson H. Alfarabi, Avicenna, and Averroes, on Intellect. Oxford University Press, 1992, p. 6.

5. Colman A.M. A Dictionary of Psychology. 3rd ed. Oxford [etc.]. Oxford University Press, 2008.

6. Sangha N. Instinct, Intellect, Intelligence, Intuition. Occult Mysteries, 2015, available at: https://occult-mysteries.org/intelligence.html

7. Kant I. Kritika sposobnosti suzhdeniya: Sobr. soch. [Critique of Judgment: Collected Works]. Vol. 5. Moscow, Mysl’, 1966.

8. Zhukovskiy V.A. Skazka o Ivane-tsareviche i Serom Volke [The Tale of Ivan Tsarevich and the Gray Wolf]. Moscow, Prospekt, 2013, 31 p.

9. De Gruyter. Kant and Artificial Intelligence. Edited by Hyeongjoo Kim and Dieter, 2022.

10. Asimov I.I, Robot. Garden City. N.Y., Doubleday, 1950.

11. Zhuravlev Yu.I. Ob algebraicheskom podkhode k resheniyu zadach raspoznavaniya ili klassifikatsii [On an Algebraic Approach to Solving Recognition or Classification Problems]. Problemy kibernetiki, vyp. 33. Moscow, Nauka, 1977.

12. Zhuravlev Yu.I. Korrektnye algebry nad mnozhestvami nekorrektnykh (evristicheskikh) algoritmov [Correct Algebras over sets of Incorrect (Heuristic) Algorithms]. Kibernetika, 1977, no 4; 1978, no 8.

DOI: 10.33917/es-5.197.2024.62-69

The article deals with topical issues of the creation and functioning of customs warehouses in the Russian Federation. The approaches to grouping customs warehouses are investigated, the results of the dynamics and structure of the e-commerce market are presented. The possibilities of organizing cross-border electronic commerce in the Russian Federation using customs warehouses have been studied. The volume of sales of goods in the framework of e-commerce is analyzed and the conditions for monitoring commodity flows along the entire chain of gross value creation are determined. Recommendations have been developed to improve approaches to planning and controlling the turnover of cross-border electronic commerce.

References:

1. Chupina Zh.S., Zorina S.M., Annaberdyeva L. Strategii rossiyskikh i zarubezhnykh marketpleysov [Strategies of Russian and Foreign Marketplaces].Aktual’nye issledovaniya, 2023, no 13(143), pp. 82–86, available at: https://apni.ru/article/5903-strategii-rossijskikh-i-zarubezhnikh-marketpl

2. Tamozhennyy kodeks Rossiyskoy Federatsii ot 28 maya 2003 g. N 61-FZ (TK RF) [The Customs Code of the Russian Federation of May 28, 2003 No. 61-FZ (TC RF)]. Garant, available at: https://base.garant.ru/5758424/

3. Mosbi A. Rost prodazh elektronnoy kommerotsii v mire (2016–2027) [Global E-Commerce Sales Growth (2016–2027)]. Yaguara.co, available at: https:// www.yaguara.co/global-ecommerce-sales-growth/

4. Itogi vneshney torgovli so vsemi stranami [Results of Foreign Trade With all Countries]. Federal’naya tamozhennaya sluzhba, available at: https://customs. gov.ru/statistic/vneshn-torg/vneshn-torg-countries?ysclid=lvz0dxpffl202622345

5. Obzor mezhdunarodno-pravovogo regulirovaniya torgovli [Review of International Legal Regulation of Trade]. Agroeksport, 2020, 29 sentyabrya, available at: https://mcx.gov.ru/upload/iblock/2cd/2cdd959195e9f599abe0c049a81404ec.pdf?ysclid=lvy3x8cu3d844112120

6. Top-10 eCommerce rynkov mira: mirovye prodazhi, trendy, statistika [Top 10 eCommerce Markets in the World: Global Sales, Trends, Statistics]. Shopolog, available at: https://www.shopolog.ru/metodichka/analytics/top-10-ecommerce-rynkov-mira-mirovye-prodazhi-trendy-statistika/?ysclid=lvwhvy0 3ny639675011

7. Zakonodatel’nye novelly v chasti administrirovaniya tamozhennykh platezhey v otnoshenii tovarov transgranichnoy internet-torgovli. Vystuplenie zamestitelya nachal’nika GUFTDiTR V.I. Reshetnikova [Legislative Innovations in the Administration of Customs Payments in Respect of Goods of Cross-border Internet Trade. Speech by the Deputy head of the GUFTDiTR V.I. Reshetnikov], available at: https://forum.customs.gov.ru/uploads/1_4.pdf

8. Monitoring aktual’nykh sobytiy v oblasti mezhdunarodnoy torgovli N 55 [Monitoring of Current Events in the Field of International Trade No. 55]. ATES, 2020, 30 sentyabrya, available at: https://www.vavt-imef.ru/wp-content/uploads/2020/09/Monitoring_55.pdf

9. Karashchuk O.S. Bondovye sklady: sovremennaya infrastruktura torgovli sel’skokhozyaystvennoy produktsiey [Bonded Warehouses: Modern Infrastructure of Trade in Agricultural Products]. Agrarnyy vestnik Urala, 2020, no 3(194), pp. 82–90, DOI: 10.32417/1997-4868-2020-194-3-82-90

DOI: 10.33917/es-4.196.2024.54-61

The article dwells on the Concept of standardization in the cryptosphere in the Russian Federation, which includes substantiation of the need for standardization in the cryptosphere, definition of the “cryptosphere standard” term, types of cryptostandards, principles and tasks of standardization, provisions for organizing standardization in the country, stages of standardization. Particular attention is paid to the content of crypto standards and their role in increasing the efficiency of the country’s economy.

DOI: 10.33917/es-4.196.2024.46-53

The purpose of this article is to identify criteria for the influence of artificial intelligence technologies in payment systems on the consciousness of the population as their main user. When reviewing technologies, methods of scientific analysis were applied: the method of analysis and synthesis, abstraction, generalization, description, induction, deduction.

The article dwells on assessment of the implementation and impact of technologies based on artificial intelligence. It is shown that at the moment a situation has arisen where artificial intelligence tools have the opportunity to manipulate human consciousness. Accelerated development of human interaction in the virtual space resulted in both positive and negative consequences of the use of artificial intelligence technologies in payment systems within the framework of the new social reality. Based on the identified advantages and disadvantages, criteria for the impact of artificial intelligence technologies on the consciousness of the population were discovered and identified.

References:

1. Velichkovskiy B.B. Soznanie [Conscience]. Bol’shaya rossiyskaya entsiklopediya, available at: https://bigenc.ru/c/soznanie-f1153b

2. Tekhnologii iskusstvennogo intellekta i mashinnogo obucheniya [Artificial Intelligence and Machine Learning Technologies]. NIU VShE, 2021, 5 marta, available at: https://hsbi.hse.ru/articles/tekhnologii-iskusstvennogo-intellekta-i-mashinnogo-obucheniya/

3. 12 variantov ispol’zovaniya II i mashinnogo obucheniya v finansakh [12 Ways to Use AI and Machine Learning in Finance]. Generativnyy analiz dannykh, 2020, 10 aprelya, available at: https://zephyrnet.com/ru/12-use-cases-of-ai-and-machine-learning-in-finance/

4. Fedorov D. Chto takoe NLP? [What is NLP?]. Renovatsio, 2023, available at: https://renovatsio.rf/media/natural-language-processing

5. Vot polozhenie NLP v finansakh. Ty dolzhen znat’ [Here is the Position of NLP in Finance. You Should Know]. Shaip, 2023, 26 oktyabrya, available at: https://ru.shaip.com/in-the-media/here-are-the-applications-of-nlp-in-finance-you-need-to-know/

6. Perspektivy razvitiya chat-botov v bankovskom sektore: golosovoy II, prognozirovanie povedeniya, analiz nastroeniya [Prospects for the Development of Chatbots in the Banking Sector: Voice AI, Behavior Forecasting, Mood Analysis]. TalkBank, 2022, 21 yanvarya, available at: https://business.talkbank.io/tpost/ lp3s2ai1c1-perspektivi-razvitiya-chat-botov-v-banko

7. Vershinin O. Neyronnye seti: printsip raboty, perspektivy i 159 sovremennykh neyronok [Neural Networks: the Principle of Operation, Prospects and 159 Modern Neurons]. Neiros, 2023, 17 noyabrya, available at: https://neiros.ru/blog/automation/neyronnye-seti-printsip-raboty-perspektivy-i-159-sovremennykhneyronok/

8. Kak rabotayut neyronnye seti? [How do Neural Networks Work?]. Productstar, 2023, 16 marta, available at: https://blog.productstar.ru/kak-rabotayutnejronnye-seti/

9. Prediktivnaya analitika: instruktsiya po primeneniyu II pri prognozirovanii [Predictive Analytics: Instructions for using AI in Forecasting]. SBER Pro, 2023, 23 avgusta, available at: https://sber.pro/publication/prediktivnaya-analitika-instrukcziya-po-primeneniyu-ii-pri-prognozirovanii/

DOI: 10.33917/es-3.195.2024.68-79

This work continues to examine the model-oriented system engineering [1–3] and at the same time presents an approach based on streamlining and sequentially complex complementing of MBSE formats according to the principle “from simpler to more complex” with the subsequent study of the possibility to include the considered modeling formats in tool platforms of digital engineering. The main focus is made on the systematic orderliness and logic of the approach presentation, with the understanding that in the subject area there is a wide range of divergent definitions (the well-known effect of the language of the Tower of Babel builders).

References:

1. Kondrat’ev V.V. Model’no-orientirovannyy sistemnyy inzhiniring 2.0 [Model-Based Systems Engineering 2.0]. Moscow, MF TI, 2021.

2. Garichev S.N., Gorbachev R.A., Davydenko E.V., Dzhaparov B.A., Kondrat’ev V.V. Model’no-orientirovannyy inzhiniring fiziko-tekhnicheskikh, informatsionnykh i intellektual’nykh system [Model-Based Engineering of Physical, Technical, Information and Intelligent Systems]. Trudy MFTI, 2022, vol.

14, no 2.

3. Kondrat’ev V.V., Tishchenko E.B. Arkhitekturnyy inzhiniring gibridnykh modeley, vklyuchayushchikh tsifrovye dvoyniki i mashinnoe obuchenie [Architectural Engineering of Hybrid Models Incorporating Digital Twins and Machine Learning]. Ekonomicheskie strategii, 2023, no 5(191), pp. 94–99, DOI:

10.33917/es-5.191.2023.94-99

4. Semin A.N., Tishchenko E.B., Kislitskiy M.M., Kurdyumov A.V. Razvitie metodologicheskikh polozheniy proektnogo upravleniya v sfere obespecheniya tekhnologicheskogo suvereniteta APK [Development of Methodological Provisions of Project Management in the Field of Ensuring Technological Sovereignty of the Agro-Industrial Complex]. Fundamental’nye i prikladnye issledovaniya kooperativnogo sektora ekonomiki, 2022, no 4, pp. 3–10.

5. Kondrat’ev V.V., Lorents V.Ya. Daesh’ inzhiniring! [Give me Engineering!]. Moscow, Eksmo, 2007 (Navigator dlya professionala).

6. Romanov A.A. Prikladnoy sistemnyy inzhiniring [Applied Systems Engineering]. Moscow, FIZMATLIT, 2015.

7. Borovkov A.I., Burdakov S.F., Klyavin O.I., Mel’nikova M.P., Mikhaylov A.A., Nemov A.S., Pal’mov V.A., Silina E.N. Komp’yuternyy inzhiniring [Computer Engineering]. Ucheb. posobie. Saint Petersburg, Izd-vo Politekhn. un-ta, 2012.

8. Potyupkin A.Yu., Chechkin A.V. Iskusstvennyy intellekt. Na baze informatsionno-sistemnoy izbytochnosti [Artificial Intelligence. Based on Information System Redundancy]. Moscow, Kurs, 2022.

9. Organizatsionnyy dizayn. Resheniya dlya korporatsiy, kompaniy, predpriyatiy: Mul’timediynoe uchebnoe posobie + Praktikum na CD-R [Organizational Design. Solutions for Corporations, Companies, Enterprises: Multimedia Textbook + Workshop on CD-R]. Pod red. V.V. Kondrat’eva. Moscow, INFRA-M, 2018 (Upravlenie proizvodstvom).

10. ArchiMate. Vikipediya, available at: https://ru.wikipedia.org/

11. Generativnyy iskusstvennyy intellekt [Generative Artificial Intelligence]. Vikipediya. URL: https://ru.wikipedia.org/