Intellectualisation of Industrial Production as a Factor in Achieving Technological Sovereignty: Essence and Principles
https://doi.org/10.26794/2220-6469-2025-19-3-6-16
Abstract
Relevance. In the context of the industry’s rapid digital transformation, intellectualisation is becoming a key factor in improving enterprises’ competitiveness and technological sovereignty. Purpose. This article unveils the essence of intellectualisation, which involves transitioning from the mere mechanical use of information to the intelligent, creative management of production processes through artificial intelligence and big data analysis. The eight principles of intellectualisation, which are based on national strategies and the practical experience of AI implementation in the Russian industry, are presented. Methods. These principles form the methodological and strategic basis for the standardisation, safety, and effective application of intellectual technologies. Particular focus is given to intelligent information systems and smart manufacturing technologies, which promote the flexibility, efficiency, and sustainable development of enterprises in the Industry 4.0. The scientific novelty of the research lies in its complex approach to developing intellectualization principles that take into account the specific characteristics of individual industries. The results of this study lay the groundwork for further research and practical solutions aimed at modernising industrial production and achieving national digital economy goals. This article will be of interest to specialists in industrial management, digital technologies, and innovative development.
Keywords
industrial intellectualisation,
artificial intelligence,
digital transformation,
technological sovereignty,
smart manufacturing
Supporting agencies: The article was written within the framework of the research carried out with budgetary funding under a state assignment to the Financial University.
About the Authors
V. V. Narbut
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Victoria V. Narbut — Cand. Sci. (Econ.), leading researcher at the Institute of Financial and Industrial Policy and associate professor in the Department of Business Analytics at the Faculty of Taxes, Audit and Business Analysis
Moscow
N. M. Abdikeev
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Niyaz M. Abdikeev — Dr. Sci. (Tech.), Prof., Director of the Institute of Financial and Industrial Policy
Moscow
References
1. Morozov R.V., Belyasov I.S. Identification of signs and features of intellectualization of mechanisms for managing the functioning of industrial enterprises. Zhurnal issledovanii po upravleniyu = Journal of Management Studies. 2020;(5):3–15. (In Russ.).
2. Romanova O.A. Intellectualization of industrial production as a determinant factor of economic security. In: Russian regions in the focus of changes. Proc. 13th Int. conf. Vol. 1. Ekaterinburg: Educational and Methodological Center UPI; 2019:353–359. (In Russ.).
3. Zelentsova L.S., Ukolov V.F., Tikhonov A.I. Russian industry intellectualization development: Strategic approach. Upravlenie = Management (Russia). 2023;11(4):17–24. (In Russ.). DOI: 10.26425/2309-3633-2023-11-4-17-24
4. Podol’skiy A.K. The application of artificial intelligence methods in the oil and gas industry. Sovremennaya nauka = Modern Science. 2016;(3):33–36. (In Russ.).
5. Oystacher E.M. Use of artificial intelligence in development and production of electrical equipment. Vestnik nauki. 2023;3(12):953–965. (In Russ.).
6. Fufaev M.D. Intellectualization of industrial production as a factor of increasing the efficiency of innovation activities. Moskovskii ekonomicheskii zhurnal = Moscow Economic Journal. 2025;(5):152–165. (In Russ.). DOI: 10.55186/2413046X_2025_10_5_129
7. Shiryayeva O.I., Sarsenbayev N.S.Application of modern microprocessor technology in the oil and gas industry of the Republic of Kazakhstan for the intellectualization of industrial production. Engineering Journal of Satbayev University. 2021;143(6):183–190. DOI: 10.51301/vest.su.2021.i6.23
8. Alekseev R. Artificial intelligence in the service of the state: Pros and cons. Zhurnal politicheskikh issledovanii = Journal of Political Research. 2020;4(2):58–69. (In Russ.). DOI: 10.12737/2587–6295–2020–58–69
9. Petrochenkov I.A. Prospects for the protection of human rights in the context of adoption European Union artificial intelligence regulation. Grazhdanin. Vybory. Vlast’ = Citizen. Elections. Authority. 2024;(2):104–115. (In Russ.).
10. Prygunova M.D. Neural network and AI-generated content: In the light of information law. Zhurnal suda po intellektual’nym pravam = IPC Magazine. 2023;(3):175–189. (In Russ.). DOI: 10.58741/23134852_2023_3_19
11. Klimachev T.D., Karasev D.A. practical experience and promising areas of application of artificial intelligence at Russian manufacturing companies amidst sanctions pressure. Voprosy innovacionnoi ekonomiki = Russian Journal of Innovation Economics. 2024;14(2):483–502. (In Russ.). DOI: 10.18334/vinec.14.2.121042
Review
For citations:
Narbut V.V., Abdikeev N.M. Intellectualisation of Industrial Production as a Factor in Achieving Technological Sovereignty: Essence and Principles. The world of new economy. 2025;19(3):6-16. (In Russ.) https://doi.org/10.26794/2220-6469-2025-19-3-6-16
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