Development of theoretical foundations, models and methods for managing processes of formation of motivation system for regional economic actors to participate in the creation and development of new high-tech industries
O.Z. Zagazezheva, I.A. Mambetov
Upload the full text
Abstract: The article is devoted to the study of the theoretical foundations and practical mechanisms for managing the motivation of actors in the regional economy to create and develop new high-tech industries. Using the example of specific robotics projects developed at the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences (such as an agro-protection robot, a greenhouse harvesting robot, and an anthropomimetic manipulator), the potential and market prospects for their commercialization are discussed. The paper proposes the application of multi-agent neurocognitive architectures for modeling complex, weakly-structured processes. Investments in the production of highly intellectual products, coupled with the motivation of all actors in the regional economic system and cooperation in this area, will lead to rapid and stable economic growth and an improvement in the quality of human life.
Aim. Research objective is to study the theoretical foundations, models, and management methods necessary for forming an effective system of motivation for actors in the regional economy. The ultimate goal of this motivation system is to stimulate the creation and development of new high-tech industries in the region.
Methods. Statistical and system analysis, induction, data processing and interpretation, identification of patterns, and simulation modeling.
Results. Elements of an effective regional innovation system are proposed, including a scientificeducational foundation, a technological base, and global integration, necessary for achieving technological sovereignty and the sustainable development of production systems. The paper presents an intelligent system for data analysis and decision-making, applicable in various spheres of human activity. Models of organizing innovation activity (administrative-command, market society, triple helix, Novum Trivium) are analyzed, as well as key factors limiting technological development in Russia.
Conclusions. The study confirms that the development of competitive high-tech sectors necessitates systematic management of key regional economic actors’ motivation. The triple helix model integrating government, business, and science proves most effective. Developments in agricultural robotics and AI show significant import substitution potential. Realizing this requires overcoming systemic constraints, creating an integrated innovation environment, and implementing flexible support mechanisms to ensure technological sovereignty and sustainable regional development.
Keywords: regional economy, high-tech industries, motivation system, innovation projects, artificial intelligence, intelligent robotics, multi-agent neurocognitive architecture (MNA), triple helix model, technological development, technology commercialization, regional innovation system (RIS), technological sovereignty, public-private partnership, innovation management
For citation. Zagazezheva O.Z., Mambetov I.A. Development of theoretical foundations, models and methods for managing processes of formation of motivation system for regional economic actors to participate in creation and development of new high-tech industries. News of the Kabardino-Balkarian Scientific Center of RAS. 2025. Vol. 27. No. 6. Pp. 300–313. DOI: 10.35330/1991-6639-2025-27-6-300-313
References
- Ksalov A.M., Bzhikhatlov K.Ch., Pshenokova I.A., Zammoev A.U. Development of transport subsystem of autonomous robot for active plant protection system. News of the
Kabardino-Balkarian Center of the Russian Academy of Sciences. 2022. No. 2(106). Pp. 31–40. DOI: 10.35330/1991-6639-2022-2-106-31-40. (In Russian) - Shuganov V.M., Leshkenov A.M. Current state and prospects for increasing production of organic crop products in Russia based on application of digital and smart technologies. News of the Kabardino-Balkarian Center of the Russian Academy of Sciences. 2025. Vol. 27. No. 1. Pp. 31–41. DOI: 10.35330/1991-6639-2025-27-1-31-41. (In Russian)
- Shalova S.Kh., Zagazezheva O.Z. Review of agricultural robot market and their impact on economic development. Izvestiya JuFU. Tehnicheskie nauki. 2019. No. 7(209). Pp. 57–70. DOI: 10.23683/2311-3103-2019-7-57-70. (In Russian)
- Nagoev Z.V., Zagazezheva O.Z., Bzhikhatlov K.Ch., Mambetov I.A. Development of intelligent robotic harvesting system. Izvestiya JuFU. Tehnicheskie nauki. 2025. No. 2(244).
Pp. 40–51. DOI: 10.18522/2311-3103-2025-2-40-51. (In Russian) - Rybakov A.V., Lihter A.M., Pogozheva A.B. et al. Design of robotic manipulators with computer vision system for tomato harvesting. Prikaspijskiy zhurnal: upravlenie i vysokie
tehnologii. 2020. No. 3(51). Available at: https://cyberleninka.ru/article/n/proektirovanierobototehnicheskih-manipulyatorov-s-sistemoy-kompyuternogo-zreniya-dlya-sbora tomatov (accessed 11 November 2025). (In Russian) - Azarnova T.V., Asnina N.G., Shhepin L.A. Mathematical models and methods for assessment and management of resource sustainability of enterprise development. Sistemy upravlenija i informacionnye tehnologii. 2021. No. 3(85). Pp. 54–59. DOI: 10.36622/VSTU.2021.85.3.010. (In Russian)
- Pshenokova I., Bzhikhatlov K., Nagoeva O. et al. Autonomous robot navigation system as part of a human-machine team based on self-organization of distributed neurocognitive
architectures. Interactive Collaborative Robotics. ICR 2023. Lecture Notes in Computer Science. 2023. Vol. 14214. Pp. 56–67. DOI: 10.1007/978-3-031-43111-1_6 - Nagoev Z.V. Basic principles of neurocognitive modeling of universal artificial intelligence agent consciousness. News of the Kabardino-Balkarian Center of the Russian Academy of Sciences. 2025. Vol. 27. No. 1. Pp. 152–170. DOI: 10.35330/1991-6639-2025-27-1-152-170. (In Russian)
- Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 2nd edition. Moscow: Williams, 2007. 1424 p.
- Nikolaeva E.M., Nikolaev M.S., Vasil’eva V.S. Human and artificial intelligence: prospects and risks of biological-silicon collaboration. Vek globalizacii. 2024. No. 2(50).
Available at: https://cyberleninka.ru/article/n/chelovek-i-iskusstvennyy-intellekt-perspektivy-i-riskibiologo-kremnievoy-kollaboratsii (accessed 11 November 2025). (In Russian) - Anchekov M.I., Bzhikhatlov K.Ch., Nagoev Z.V. et al. Ontoepisocio-phylogenetic development of general artificial intelligence systems based on multi-agent neurocognitive
architectures. News of the Kabardino-Balkarian Center of the Russian Academy of Sciences. 2022. No. 6(110). available at: https://cyberleninka.ru/article/n/ontoepisotsiofilogeneticheskoe-razvitiesistem-obschego-iskusstvennogo-intellekta-na-osnove-multiagentnyh-neyrokognitivnyh (accessed
11 November 2025). (In Russian) - Ickovic G. Triple helix model. Innovations. 2011. No. 4(150). Pp. 5–10. (In Russian)
- Popodko G.I., Nagaeva O.S. “Triple Helix” model for recourse-based regions. Journal of Siberian Federal University. Humanities and Social Sciences. 2019. Vol. 12. No. 12.
Pp. 2309–2325. DOI: 10.17516/1997-1370-0524 - Lepesh G.V., Ugol’nikova O.D., Sharafutdinova L.R. Conceptual foundations of digital industrialization (on the example of countries with different technological structures). TTPS. 2021. No. 2(56). Available at: https://cyberleninka.ru/article/n/kontseptualnye-osnovy-tsifrovoyindustrializatsii-na-primere-stran-s-razlichnymi-tehnologicheskimi-ukladami (accessed 11 November 2025). (In Russian)
- Fadejkina N.V., Malina S.S. On strategic architecture of regional innovation ecosystem. Nauchnye zapiski NGUJeU [Scientific notes of NSUEM]. 2019. No. 2. Pp. 22–29. (In Russian)
Information about the authors
Oksana Z. Zagazezheva, Candidate of Economic Sciences, Head of the Engineering Center of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
oksmil.82@mail.ru, ORCID: https://orcid.org/0000-0003-0903-4234, SPIN-code: 3223-6780
Idar A. Mambetov, Researcher at the Engineering Center of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
idar.mam12@gmail.com, ORCID: https://orcid.org/0000-0002-4723-9874, SPIN-code: 5951-8195











