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/

DOI: 10.33917/es-3.195.2024.60-67

In any organization, regardless of its scale/dimension (from an enterprise to a state), two goals that are invariant with respect to activity are relevant: sustainability and development of the organization. Neither of these goals should be achieved at the expense of the other. Technological dependence of industrial and financial capital on information technology has made corporate IT an important element of an organization. However, corporate IT of large industrial companies has its  own peculiarities. They focus on sustainability of the IT infrastructure, and give the initiative in developing functionalit y of business systems to the so-called functional customers. In the current turbulent conditions it is necessary to abandon the stereotypes of corporate IT management. The article provides recommendations to general directors and shareholders of large industrial companies.

References:

1. Bashnin A.V., Ozols O.K. Importozameshchenie kul’tury izmerenii [Import Substitution of the Culture of Measurements]. Ekonomicheskie strategii, 2023, no 4(190), pp. 78–85. DOI: https://doi.org/10.33917/es-4.190.2023.78-85

2. Vlast’ v SShA zakhvatila “bol’shaya tsifra” [Power in the USA Was Seized by “Big Numbers”]. Rambler, 2021, 10 marta, available at: https://news.rambler.ru/conflicts/45977057/?utm_content=news_media&utm_medium=read_more&utm_source=copylink

3. Kvitko Yu. “Tsifra” pronikla vo vse sfery ekonomiki [“Digital” has Penetrated All Spheres of the Economy]. Rossiyskaya gazeta, 2020, 28 aprelya, no 8147, available at: https://rg.ru/2020/04/28/cifra-pronikla-vo-vse-sfery-ekonomiki.html

4. Everett C. Johnson. IT governance: More needs to be done. ZD-Net, available at: https://www.zdnet.com/article/it-governance-more-needs-to-bedone/

DOI: 10.33917/es-3.195.2024.50-59

Innovation is a key factor in the modern economy development. At the same time, strategic planning in the context of innovation development is a primary step towards scientific and technological leadership and sovereignt y. In the modern world, key powers are investing enormous amounts of money in the race for leadership in the field of ar tificial intelligence, defining innovation for the coming years and decades. At the moment most countries, including Russia, have already formed their strategic vision for this sphere’s development. If we consider ar tificial intelligence technologies not just as a way to automate production processes, but as a tool to transform the entire economy due to the synergistic ef fect from introducing these technologies, then the question of the current role of AI in strategizing innovation becomes paramount. Analysis of the relationship between strategic planning documents and the National AI Development Strategy will mak e it possible to identify its place in the existing hierarchy of strategic documents and, as a result, to determine the strategy’s potential in stimulating Russia’s innovation development and economic transformation.

References:

1. Ukaz Prezidenta RF ot 10 oktyabrya 2019 g. N 490 “O razvitii iskusstvennogo intellekta v Rossiyskoy Federatsii” [Decree of the President of the Russian Federation dated October 10, 2019 No. 490 “On the Development of Artificial Intelligence in the Russian Federation”]. Garant, available at: https://base.garant.ru/72838946

2. Porter M. Konkurentnaya strategiya. Metodika analiza otrasley konkurentov [Competitive Strategy. Methodology for Analyzing Competitors’ Industries]. Moscow, Al’pina Pablisher, 2015, 435 p.

3. Khamel G., Prakhalad K.K. Konkuriruya za budushchee. Sozdanie rynkov zavtrashnego dnya [Competing for the Future. Creating Tomorrow’s Markets]. Moscow, Olimp-Biznes, 2014, 288 p.

4. Kvint V.L. Kontseptsiya strategirovaniya [Concept of Strategizing]. Kemerovo, Kemerovskiy gosudarstvennyy universitet, 2022, 170 p., DOI: 10.21603/978-5-8353-2562-7

5. Artificial Intelligence Index Report, 2023. Stanford University, available at: https://aiindex.stanford.edu/report/

6. Pasport FP “Iskusstvennyy intellect” [FP Passport of “Artificial Intelligence”]. Konsul’tantPlyus. Sudebnye i normativnye akty RF, available at: https://sudact.

ru/law/pasport-federalnogo-proekta-iskusstvennyi-intellekt-natsionalnoi-programmy

7. Indeks gotovnosti prioritetnykh otrasley ekonomiki Rossiyskoy Federatsii k vnedreniyu iskusstvennogo intellekta: Analiticheskiy otchet [Index of Readiness of Priority Sectors of the Russian Economy for Implementing Artificial Intelligence: Analytical Report]. Analiticheskiy tsentr pri Pravitel’stve RF; MGU imeni

M.V. Lomonosova, 2021, 159 p.

8. Kolin K.K. Novyy etap razvitiya iskusstvennogo intellekta: natsional’nye strategii, tendentsii i prognozy [New Stage of Artificial Intelligence Development: National Strategies, Trends and Forecasts]. Strategicheskie prioritety, 2019, no 2(22), pp. 4–12.

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-2.194.2024.54-63

The article dwells on scientific and methodological approaches to solving the problem of forming a model of a digital twin of an enterprise, the production process, products and resources at all stages of the life cycle, when all departments involved in development, production, operation, including repair work, are represented in the form of a computer network that unites the combined elements of three types: sensors (detectors), factors (actuators and devices), control and management bodies. Proposed scientific-methodological approaches and principles of a “virtual enterprise” modeling are quite universal since they permit to provide a reflection and mathematical description of the dynamics of changes in the performance of an enterprise, its divisions and transformation of properties and characteristics of high-tech products that occur during the production process.

References:

1. Gubinskiy A.M. Upravlenie tekhnologicheskim razvitiem v sfere oborony i bezopasnosti Rossii, SShA i Kitaya: istoricheskie aspekty i sovremennyy opyt [Managing Technological Development in the Sphere of Defence and Security of Russia, the USA and China: Historical Aspects and Modern Experience: Russia]. Vol. I. Rossiya. Moscow, Izdatel’skie resheniya, 2021, 626 p.

2. Computing Curricula 2005. The Overview Report. ACM and IEEE Computer Society, 2005, 62 p.

3. Bratukhin A.G., Dmitriev V.G. Strategiya, kontseptsiya, printsipy CALS: Rossiyskaya entsiklopediya CALS. Aviatsionno-kosmicheskoe mashinostroenie [Strategy, Concept, CALS Principles: Russian Encyclopedia of CALS: Aerospace Mechanical Engineering]. Moscow, OAO “NITs ASK”, 2008, pp. 15–26.

4. Kovshov A.N., Nazarov Yu.F., Ibragimov I.M., Nikiforov A.D. Informatsionnaya podderzhka zhiznennogo tsikla izdeliy mashinostroeniya: printsipy, sistemy i tekhnologii CALS/IPI [Information Support for the Life Cycle of Mechanical Engineering Products: Principles, CALS/IPI Systems and Technologies]. Ucheb. posobie dlya studentov vuzov. Moscow, Akademiya, 2007, 304 p.

5. Deryabin N.I., Kuprikov M.Yu., Markin L.V., Deniskin Yu.I., Bragintseva L.M., Evdokimenko V.N., Latysheva V.V. Kadrovoe obespechenie: Rossiyskaya entsiklopediya CALS: Aviatsionno-kosmicheskoe mashinostroenie [Personnel Support: Russian Encyclopedia of CALS: Aerospace Engineering]. Moscow, OAO “NITs ASK”, 2008, pp. 557–575.

6. Zhamoydik T.I., Revyakov G.A. Nauchno-metodicheskie podkhody k resheniyu zadachi modelirovaniya predpriyatiya na baze kontseptual’nykh polozheniy tsifrovykh tekhnologiy: Raketno-kosmicheskoe priborostroenie i informatsionnye sistemy [Scientific-methodological Approaches to Solving the Problem of Enterprise Modeling Based on the Conceptual Provisions of Digital Technologies: Rocket-space instrument engineering and information systems]. Vol. 8, vyp.

2. Moscow, RKS, 2021, pp. 32–42.

7. Vice Admiral Arthur K. Cebrowski, U.S. Navy, and John J. Garstka. Network-Centric Warfare: Its Origin and Future. January 1998.

DOI: 10.33917/es-2.194.2024.42-53

While the physical basis of natural intelligence is the human brain, the physical basis of artificial intelligence (AI) is constituted by computers. Currently, the processes of creating AI based on computer technology are developing in two main directions — logical direction and neuromorphic one. The logical approach is aimed at creating computer systems designed to solve one or a limited set of “intelligent” problems (that is, problems whose solution would require intelligence if they were solved by a person). The neuromorphic approach aims to create computer systems that imitate the human brain functioning, and ultimately to create its artificial analogue.

References:

1. Yangging Jia. Technical Report. No. VCB/EECS 2014-93, Berkley.

2. Kalyaev I.A., Levin I.I., Semernikov E.A., Shmoilov V.I. Reconfigurable Multipipeline Computing Structures. Nova Science Publishers, Inc. USA. 2012. 340 p.

3. Guzik V.F., Kalyaev I.A., Levin I.I. Rekonfiguriruemye vychislitel’nye sistemy [Reconfigurable Computing Systems]. Rostov n/D, Izd-vo YuFU, 2016, 472 p.

4. Kalyaev I.A., Levin I.I. Rekonfiguriruemye vychislitel’nye sistemy na osnove PLIS [Reconfigurable Сomputing Systems Based on FPGAs]. Rostov n/D, Izd-vo YuNTs RAN, 2022, 475 p.

5. Spall J., Guo X., Barrett T.D., Lvovsky A.I. Fully reconfigurable coherent optical vector-matrix multiplication. Optics Letters, 45, 5752–5755 (2020).

6. Tait A.N., de Lima T.F., et al. Neuromorphic photonic networks using silicon photonic weight banks. Scientific Reports, 7, 7430 (2017).

7. Shen Y., Harris N.C., et al. Deep learning with coherent nanophotonic circuits. Nature Photon, 11(7), pp. 441–446 (2017).

8. Golovastikov N.V., Dorozhkin P.S., Soyfer V.A. Intellektual’nye tekhnicheskie sistemy na osnove fotoniki [Intelligent Technical Systems Based on Photonics]. Ontology of Designing, 2021, vol. 11, pp. 422–436.

9. Mikhaylov A.N., Gryaznov E.G., Lukoyanov V.I., Koryazhkina M.N., Bordanov I.A., Shchanikov S.A., Tel’minov O.A., Ivanchenko M.V., Kazantsev V.B. Na puti k realizatsii vysokoproizvoditel’nykh vychisleniy v pamyati na osnove memristornoy elektronnoy komponentnoy bazy [Towards the Implementation of High-performance Computing in Memory Based on Memristor Electronic Components]. Fizmat, 2023, vol. 1, no 1, pp. 42–64, DOI: 10.56304/S0000000023010021

10. Mikhaylov A.N., Gryaznov E.G., Koryazhkina M.N., Bordanov I.A., Shchanikov S.A., Telminov O.A., Kazantsev V.B. Neuromorphic computing based on CMOS-integrated memristive arrays: current state and perspectives. Supercomputing Frontiers and Innovations, 2023, vol. 10, no 2, pp. 77–103, DOI: 10.14529/jsfi230206

11. Dongarra J. Less Moor, more Brain. Moskovskiy superkomp’yuternyy forum, MGU, 2019.

12. Iskusstvennyy intellekt uvelichil moshchnost’ Superkomp’yuternogo tsentra “Politekhnicheskiy”. Saint Petersburg, SPbPU Petra Velikogo, Nauka i innovatsii, 22 dekabrya 2023 g. [Artificial Intelligence Has Increased the Capacity of the Polytechnic Supercomputer Center. St. Petersburg, Peter the Great St. Petersburg Polytechnic University. Science and Innovation, December 22, 2023], available at: https://www.spbstu.ru/media/news/nauka_i_innovatsii/
iskusstvennyy-intellekt-uvelichil-moshchnost-superkompyuternogo-tsentra-politekhnicheskiy/

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-1.193.2024.42-53

Particular attention is paid to assessing the consequences of the spread of transhumanism as an ideology aimed at using the high transformative potential of convergent technologies not in line with humanistic values, but for deforming effect on humans, society and nature, which creates conditions for increasing social inequality and implementation of a model of a new social order based on the principles of “cybernetic totalitarianism”. The author raises a question of the need to create an alternative to transhumanism theory, based on socio-humanism and noospherism, which will allow using the creative possibilities of convergent technologies (primarily nature-like ones) to form a nature-like (bio-like) technosphere, on the one hand, and on the other hand – to improve the quality of life and to overcome severe physical and mental illnesses of a human. The role of bioethics and biopolitics in reducing the environmental, biosocial and socio-humanitarian risks of using new technologies is assessed.

References:

1. Kondrat’ev N.D. Bol’shie tsikly kon”yunktury i teoriya predvideniya. Izbrannye trudy [Large Conjuncture Cycles and the Theory of Foresight. Selected works]. Moscow, Ekonomika, 2002, 767 p.

2. Dement’ev V.E. Tsikly Kondra’’eva i postindustrial’naya ekonomika [Kondratieff Cycles and Post-industrial Economy]. Ekonomicheskaya nauka sovremennoy Rossii, 2018, no 4, pp. 7–19.

3. Sokolova S.N. O nekotorykh zadachakh filosofii v kontekste perspektiv tekhnologizatsii cheloveka [On Some Philosophy Tasks in the Context of Human Technologization Prospects]. Izvestiya TGU. Gumanitarnye nauki, 2015, no 1, pp. 19–30.

4. Kas’yanov V.V. Sotsium i chelovek v usloviyakh nauchno-tekhnicheskogo progressa [Society and a Man in the Context of Scientific and Technological Progress]. Obshchestvo: sotsiologiya, psikhologiya, pedagogika, 2012, no 1, pp. 11–15.

5. Khristolyubova N.E., Khudorenko E.A. Zarubezhnyy opyt sotsial’nykh posledstviy nauchno-tekhnicheskogo razvitiya: mesto obrazovaniya [Foreign Experience of Social Consequences of Scientific-Technological Development: Place of Education]. Otkrytoe obrazovanie, 2016, vol. 20, no 3, pp. 61–68.

6. Koval’chuk M.V. Ideologiya prirodopodobnykh tekhnologiy [Ideology of Nature-Like Technologies]. Moscow, Fizmatlit, 2021, 336 p.

7. Koval’chuk M.V, Naraykin O.S, Yatsyshina E.B. Prirodopodobnye tekhnologii — novye vozmozhnosti i novye vyzovy [Nature-Like Technologies – New Opportunities and New Challenges]. Vestnik Rossiyskoy Akademii nauk, 2019, vol. 89, no 5, pp. 455–465, DOI: https://doi.org/10.31857/S0869-5873895455-465

8. Buyanova M.E. Identifikatsiya i otsenka stranovykh riskov razvitiya konvergentnykh tekhnologiy [Identification and Assessment of Country Risks in Developing Convergent Technologies]. Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika, 2021, vol. 23, no 1, pp. 40–51, DOI: https://doi.org/10.15688/ek.jvolsu.2021.1.3

DOI: 10.33917/es-6.192.2023.68-69

Review of the book by A.A. Frenkel and A.A. Surkov “Forecasts Merging — an Effective Tool for Increasing Forecasting Accuracy”, dedicated to the analysis of accumulated knowledge about various approaches and methods for constructing a combined forecast. The book provides a forecast for manufacturing certain types of industrial products based on the use of various private and combined forecasting methods and makes a statistical comparison of their accuracy.

DOI: 10.33917/es-6.192.2023.62-67

The article examines possibilities of the ontological model and technology of the data information space and the ISIAD software product. This experience can be successfully used in the “Data Economy” national project.

References:

1. Ageev A.I., Kuz’min O.V., Perminova E.A. Informatsionnaya bezopasnost’ avtomatizirovannykh sistemy upravleniya proizvodstvennym i tekhnologicheskimi protsessami ob”ektov kriticheskoy informatsionnoy infrastruktu [Information Security of Automated Control Systems for Production and Technological Processes of Critical Information Infrastructure Facilities]. Ucheb. posobie. Moscow, MNIPU, 2021.

2. Ageev A.I., Bondarik V.N., Ivanova O.D., Kudryavtsev A.V., Loshchinin A.A. Tekhnokraticheskaya kontseptsiya proektov tsifrovoy ekonomiki: sinergiya integratsii sistem i dannykh [The Technocratic Concept of Digital Economy Projects: the Synergy of Integration of Systems and Data]. Mikroekonomika, 2018,

no 5, pp. 14–21.

3. Ageev A.I., Grabchak E.P., Loginov E.L., Chinaliev V.U. Tsifrovaya platforma upravleniya nauchno-tekhnologicheskim razvitiem v prostranstve ekonomicheskogo sotrudnichestva [Digital Platform for Managing Scientific and Technological Development within Economic Cooperation Framework].

Ekonomicheskie strategii, 2023, no 1, pp. 56–69, DOI: https://doi.org/10.33917/es-1.187.2023.56-69

4. Loshchinin A.A., Bondarik V.N., Kudryavtsev A.V. Nekotorye informatsionno-tekhnologicheskie aspekty tsifrovoy ekonomiki [Some Information and Technological Aspects of the Digital Economy]. Mikroekonomika, 2017, no 4, pp. 67–71.

5. Ageev A.I., Radina V.Ya. Metodika tsifrovoy ekonomiki v chasti upravleniya i kontrol’noy deyatel’nosti v real’nom sektore ekonomiki [Methods of Digital Economy in Terms of Management and Control Activities in the Real Economy]. Ekonomicheskie strategii, 2019, no 3, pp. 44–56, DOI: 10.33917/es-3.161.2019.44-56

6. Loshchinin A.A. Informatizatsiya v administrativnykh sistemakh [Informatization in Administrative Systems]. Moscow, 1999.

7. Loshchinin A.A. Bol’shaya informatizatsiya malykh territoriy [Big Informatization of small Territories]. Informatsionnye tekhnologii territorial’nogoupravleniya, 2002, no 36.

8. Loshchinin A.A. Tekhnologii informatizatsii administrativnykh organov territoriy [Technologies for Informatization of Administrative bodies of Territories].

Informatika i vychislitel’naya tekhnika, 1997, no 4, pp. 31–35.

9. Loshchinin A.A. Informatsionnye modeli territorial’nykh administrativnykh system [Information Models of Territorial Administrative Systems]. Informatsionnye tekhnologii v strukturakh gosudarstvennoy sluzhby, Moscow, RAGS, 1999.

10. Loshchinin A.A. Osnovy prikladnoy biznes-informatiki [Fundamentals of applied Business Informatics]. Saransk, 2017, 422 p.

11. Loshchinin A.A. CASE — sreda dlya informatizatsii administrativnykh sistem na osnove IPD-tekhnologii [CASE is an Environment for Informatization of Administrative Systems based on IPD technology]. Informatsionnye tekhnologii v strukturakh gosudarstvennoy sluzhby, Moscow, RAG S, 2001.