Types, Effects and Conditions for the Use of Digital Intellectual Assets in Industry
https://doi.org/10.26794/2304-022X-2025-15-3-36-48
Abstract
Intelligent industrial production represents the future of the global industry and is among national priorities, as it enables the achievement of higher-order competitive advantages based on the effective use of all components of intellectual capital and the adoption of new types of assets that emerge through the implementation of digital technologies — digital intellectual assets (DIA). The purpose of this study is to identify the types of DIA, their potential, the effects of their use, and the conditions for their application in industry. The methodological basis of the research includes methods of classification, comparative and legal analysis, generalization, and systematization. The results include a classification of DIA according to their civil law status; an outline of the advantages of their use as tools for the intellectualization of industrial companies across various sectors; identification of the economic and social effects of implementing these assets in the context of intellectual capital components (human, organizational, and market); and the specification of the necessary conditions for achieving these effects. The findings and conclusions may be useful for the management of Russian industrial companies in developing and improving digitalization strategies aimed at enhancing competitiveness and achieving technological independence.
Keywords
Supporting agencies: The article was prepared based on the results of research carried out at the expense of budgetary funds on the state assignment of the Financial University under the Government of the Russian Federation. Financial University under the Government of the Russian Federation, Moscow, Russian Federation.
About the Authors
O. V. Loseva
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Ol’ga V. Loseva — Dr. Sci. (Econ.), Assoc. Prof., Prof. of the Department of Corporate Finance and
Corporate Governance
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 of the Faculty of Economics and Business
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;6(5):3–15. URL: https://naukaru.ru/ru/nauka/article/40918/view (accessed on 27.04.2025). (In Russ.).
2. Panov A.I. Tendencies in the development of smart manufacturing. Ekonomika i kachestvo sistem svyazi = Economics and Quality of Communication Systems. 2023;(3):89–98. (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. Evjemo L.D., Gjerstad T., Grøtli E.I., et al. Trends in smart manufacturing: Role of humans and industrial robots in smart factories. Current Robotics Reports. 2020;1(2):35–41. DOI: 10.1007/s43154–020–00006–5
5. Mittal S., Ahmad Khan M., Romero D., et al. Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2017;233(5):1342–1361. DOI: 10.1177/0954405417736547
6. Pshinnik K. Why AI is developing slowly in Russia. Russian Business. Mar. 12, 2025. URL: https://rb.ru/opinion/slow-growth-ai-russia (accessed on 27.04.2025). (In Russ.).
7. Klimachev T.D., Karasev A.D. Practical experience and promising areas of application of artificial intelligence at Russian manufacturing companies amidst sanctions pressure. Voprosy innovatsionnoi ekonomiki = Russian Journal of Innovation Economics. 2024;14(2):483–502. (In Russ.). DOI: 10.18334/vinec.14.2.121042
8. Marcus J. 20 best AI tools in 2025. Hackr.io. Apr. 25, 2025. URL: https://hackr.io/blog/best-ai-tools (accessed on 21.03.2025).
9. Reshetnikova M.S. China’s AI experience: Industrial digitalization. Vestnik Rossiiskogo universiteta druzhby narodov. Seriya: Ekonomika = RUDN Journal of Economics. 2020;28(3):536–546. (In Russ.). DOI: 10.22363/2313–2329–2020–28–3–536–546
10. Kaal W.A. Digital asset market evolution. The Journal of Corporation Law. 2021;46(4):909–963. URL: https://jcl.law.uiowa.edu/sites/jcl.law.uiowa.edu/files/2021–08/Kaal_Final_Web_0.pdf (accessed on 01.06.2025).
11. Arnautov D., Erokhina M. Digital assets in the Russian law system. Rossiiskii yuridicheskii zhurnal = Russian Juridical Journal. 2019;(4):148–157. (In Russ.).
12. Banire M. Digital assets and intellectual property rights: A new frontier. Coinscreed. Aug. 01, 2023. URL: https://coinscreed.com/digital-assets-and-intellectual-property-rights-a-new-frontier.html (accessed on 01.01.2025).
13. Loseva O.V. Digital assets: Economic, legal and technological contexts. Imushchestvennye otnosheniya v Rossiiskoi Federatsii = Property Relations in the Russian Federation. 2021;(11):42–51. (In Russ.). DOI: 10.24412/2072-4098- 2021-11-42-51
14. Loseva O.V., Abdikeev N.M.Identification of digital intellectual assets and features of their commercialization. Upravlencheskie nauki = Management Sciences. 2023;13(3):34–46. (In Russ.). DOI: 10.26794/2404-022X 2020-13-3-34-46
15. Edvinsson L. Corporate longitude: Navigating the knowledge economy. Covington, GA: BookHouse Publishing; 2002. 230 p. (Russ. ed.: Edvinsson L.Korporativnaya dolgota. Navigatsiya v ekonomike, osnovannoi na znaniyakh. Moscow: Infra-M; 2005. 247 p.).
Review
For citations:
Loseva O.V., Abdikeev N.M. Types, Effects and Conditions for the Use of Digital Intellectual Assets in Industry. Management Sciences. 2025;15(3):36-48. (In Russ.) https://doi.org/10.26794/2304-022X-2025-15-3-36-48
Views:
6
Email this article 
