Оценка инновационного потенциала вузовских малых предприятий на ранних стадиях их развития

Елена Леонидовна Зиновьева; Александр Петрович Исаев

doi:10.17308/econ.2026.2/13817

Authors

Elena L. Zinovieva Ural Federal University named after the first President of Russia B.N. Yeltsin
Alexander P. Isaev Ural Federal University named after the first President of Russia B.N. Yeltsin

DOI:

https://doi.org/10.17308/econ.2026.2/13817

Keywords:

university entrepreneurship, innovation management, startup, criterion analysis, machine learning

Abstract

Subject. The modern economy is characterized by the growing role of entrepreneurial initiatives based on the results of scientific research. The predominance of one-sided approaches to assessing the effectiveness of small innovative enterprises, the focus on homogeneous data, and the insufficient attention to the specific features of the university environment hinder the formation of a holistic and objective understanding of the state and prospects of university-based small innovative enterprises at early stages of their development.
Purpose. To justify a multi-criteria approach to assessing the innovation potential of university-based small innovative enterprises.
Methodology. We used methods of data analysis of scientific publications, university websites, and acceleration program websites of organizations in the Russian Federation. We also applied the method of studying activity products, including the analysis of working documents, performance results, and observation of work processes, as well as expert assessment, case analysis, mathematical statistics, machine learning, and conceptual modeling based on a systems approach and the identification of innovation life cycle stages.
Results. We proposed a new method of criterion analysis for assessing the innovation potential of university-based small innovative enterprises at early stages of their development. We tested the method on data from 70 university enterprises. The results confirmed its effectiveness and demonstrated that the use of machine learning (the random forest method) increases assessment accuracy.
Conclusions. The practical significance of the study lies in the development of a toolkit that can be implemented in university acceleration programs to provide more effective support for startups.

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Author Biographies

Elena L. Zinovieva, Ural Federal University named after the first President of Russia B.N. Yeltsin

Researcher
Alexander P. Isaev, Ural Federal University named after the first President of Russia B.N. Yeltsin

Dr. Sci. (Econ.), Full Prof.

References

Akman, G., Yorur, B., Boyaci, A. I., & Chiu, M. Ch. (2023). Assessing innovation capabilities of manufacturing companies by combination of unsupervised and supervised machine learning approaches. Applied Soft Computing, 147, 110735. DOI: 10.1016/j.asoc.2023.110735.

Bahuleyan, A., Chavan, M., Krzeminska, A., & Chirico, F. (2024). Process and variance research: integrating research on university spinoff evolution. Technovation, 130, 102920. DOI: 10.1016/j.technovation.2023.102920.

Basílio, M. P., Pereira, V., Costa, H. G., Santos, M., & Ghosh, A. (2022). A systematic review of the applications of multi-criteria decision aid methods (1977–2022). Electronics, 11(11), 1720. DOI: 10.3390/electronics11111720.

Baydaş, M., Elma, O. E., & Stević, Ž. (2024). Proposal of an innovative MCDA evaluation methodology: knowledge discovery through rank reversal, standard deviation, and relationship with stock return. Financial Innovation, 10(1), 4. DOI: 10.1186/s40854-023-00526-x

De Cleyn, S. H., Braet, J., & Klofsten, M. (2015). How human capital interacts with the early development of academic spin-offs. International Entrepreneurship and Management Journal, 11(3), 599–621. DOI: 10.1007/s11365-013-0294-z.

Dias, M. T., Macedo, M., dos Santos, G. L., Dezem, V., Bondan, G., Silveira, M. A., Begrow, R., Alves, D. S., Botelho, L. De. L. R., Petri, R., Schmitz, R.A., Cornélio, T. G., & Ropelato, D. H. (2025). Creation of university or academic spin-offs: a study of failure and success factors. Theoretical Economics Letters, 15(2), 383–421. DOI: 10.4236/tel.2025.152022.

Dzakiy, U. N., Sushandoyo, D., Simatupang, T., Prasetio, E. A., & Mirzanti, I. R. (2025). Proposed integrated policies and supports of university spin-offs: a case study from Institut Teknologi Bandung. Production, 35, e20240125. DOI: 10.1590/0103-6513.20240125.

Espadinha-Cruz, P., Neves, A., Matos, F., & Godina, R. (2023). Development of a maturity model for additive manufacturing: A conceptual model proposal. Heliyon, 9(5), e16099. DOI: 10.1016/j.heliyon.2023.e16099.

Garrido-Prada, P., Romero-Jordán, D., & Delgado-Rodríguez, M. J. (2024). Exploring SMEs’ innovation investment strategy to increase innovation output in economic crises. Journal of Engineering and Technology Management, 72, 101816. DOI: 10.1016/j.jengtecman.2024.101816.

Martínez-Ardila, H., Castro-Rodriguez, A., & Camacho-Pico, Ja. (2023). Examining the impact of university-industry collaborations on spin-off creation: evidence from joint patents. Heliyon, 9(9), e19533. DOI: 10.1016/j.heliyon.2023.e19533.

Musleh, M. M., Mohamed, I., Sallehudin, H., & Abushawish, H. F. (2025). University spin-off challenges and opportunities: a proposed framework of academic entrepreneurship in developing economies. Cogent Education, 12(1), 2530894. DOI: 10.1080/2331186X.2025.2530894.

Ozcan, S., Stornelli, A., & Simms, C. (2023). A Product Innovation Readiness Level Framework. IEEE Transactions on Engineering Management, 71, 9920-9937. DOI: 10.1109/TEM.2023.3312595.

Quintero Sepúlveda, I. C., & Zúñiga Collazos, A. (2025). Innovation capabilities, innovation strategies and performance: an empirical analysis in SMEs. Technology Analysis & Strategic Management, 37(1), 19–34. DOI: 10.1080/09537325.2023.2280523.

Rodríguez-Carrillo, M. L., Pérez-Domínguez, L., Romero-López, R., Luviano-Cruz, D., & León-Castro, E. (2025). A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment. Frontiers in Artificial Intelligence, 8, 1605756. DOI: 10.3389/frai.2025.1605756.

Romero-Sánchez, A., Perdomo-Charry, G., & Burbano-Vallejo, E. L. (2024). Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: a systematic literature review. Heliyon. 10(19). DOI: 10.1016/j.heliyon.2024.e27258.

Toledano, N., Gessa, A., & Sanchez-Herrera, R. (2022). Rethinking the resources and responsibilities of university spin-offs: critical factors in times of global crisis. Sustainability, 14(19), 12628. DOI: 10.3390/su141912628.

Yoo, H. S., Jung, Ye. L., & Jun, S. P. (2023). Prediction of SMEs’ R&D performances by machine learning for project selection. Scientific Reports, 13(1), 7598. DOI: 10.1038/s41598-023-34684-w

Асташова, Е. А., Погребцова, Е. А., & Дурнев, С. И. (2022). Инновационный потенциал предприятия: сущность, содержание и методика оценки. Креативная экономика, 16(3), 925-940. [Astashova, E. A., Pogrebtsova, E. A., & Durnev, S. I. (2022). Enterprise's innovative potential: essence, content and evaluation methodology. Creative Economy, 16(3), 925-940. (In Russian).] DOI: 10.18334/ce.16.3.114391.

Буланова, Е. В., Соменкова, Н. С., & Ягунова, Н. А. (2019). Формирование стратегии развития малого инновационного предприятия промышленного комплекса. Вопросы инновационной экономики, 9(2), 449–466. [Bulanova, E. V., Somenkova, N. S., & Yagunova, N. A. (2019). Formation of development strategy of small innovative enterprise of industrial complex. Russian Journal of Innovation Economics, 9(2), 449-466. (In Russian).] DOI: 10.18334/vinec.9.2.40783.

Вачкова, С. Н., Куприянов, Р. Б., & Салахова, В. Б. (2025). Особенности развития малых инновационных предприятий в системе высшего образования как фактор конкурентоспособности вузов. Alma mater, (1), 64–70. [Vachkova, S. N., Kupriyanov, R. B., & Salakhova, V. B. (2025). Features of development of small innovative enterprises of Russian universities as a factor of competitiveness of higher education institutions. Alma mater, (1), 64–70. (In Russian).] DOI: 10.20339/AM.01-25.064.

Конева, А. А. (2022). Методы и инструменты стимулирования инновационной деятельности малых предприятий в РФ. Стратегии бизнеса, 10(8), 207–215. [Koneva, A. A. (2022). Methods and tools for stimulating the innovation activity of small enterprises in the Russian Federation. Business Strategies, 10(8), 207-215. (In Russian).] DOI: 10.17747/2311-7184-2022-8-207-215.

Кузнецова, Ю. А., & Шмакова, М. В. (2022). Потенциал малых инновационных предприятий вузов России в развитии инновационной экономики. Университетское управление: практика и анализ, 26(3), 48–66. [Kuznetsova, Yu. A., & Shmakova, M. V. (2022). The potential of Russian universities’ small innovative enterprises in an innovative economy. University Management: Practice and Analysis, 26(3), 48-66. (In Russian).] DOI: 10.15826/umpa.2022.03.021.

Машегов, П. Н., & Ампилов, И. С. (2021). Оценка потенциала малых инновационных предприятий при вузах: ресурсно-нарративный подход. Экономический вектор, (1), 125–130. [Mashegov, P. N., & Ampilov, I. S. (2021). Assessing the potential of small innovative enterprises at universities: a resource-narrative approach. Economic vector, (1), 125-130. (In Russian).] DOI: 10.36807/2411-7269-2021-1-24-125-130.

Палей, Т. Ф., & Бенрашу, Н. (2023). Инновационный потенциал вузов: особенности и проблемы его формирования. Human Progress, 9(4), 21. [Palei, Т. F., & Benrachou, N. (2023). Innovative potential of higher education institutions: peculiarities and problems of its formation. Human Progress, 9(4), 21. (In Russian).] DOI: 10.34709/IM.194.21.

Смирнова, Н. В. (2020). Инновационная активность российских вузов: проблемы и возможности. Вестник Института экономики Российской академии наук, (2), 109–120. [Smirnova, N. V. (2020). Innovative activity of Russian higher educational establishments: problems and opportunities. The Bulletin of the Institute of Economics of the Russian Academy of Sciences, (2), 109-120. (In Russian).] DOI: 10.24411/2073-6487-2020-10019.

Теребова, С. В., & Борисов, В. Н. (2019). Развитие малого инновационного бизнеса в промышленном и научно-образовательном секторе России. Экономические и социальные перемены: факты, тенденции, прогноз, 12(3), 55–76. [Terebova, S. V., & Borisov, V. N. (2019). The Development of small innovative business in the industrial, scientific and educational sector in Russia. Economic and Social Changes: Facts, Trends, Forecast, 12(3), 55–76.] DOI: 10.15838/esc.2019.3.63.4.

Шулус, А. А., Павлов, Е. О., & Воробьев, Д. Ю. (2020). Проблемы и перспективы малых инновационных предприятий в современной России. Креативная экономика, 14(9), 1951–1966. [Shulus, A. A., Pavlov, E. O., & Vorobyev, D. Y. (2020). Problems and prospects of small innovative enterprises in modern Russia. Creative Economy, 14(9), 1951–1966. (In Russian).] DOI: 10.18334/ce.14.9.110807.

Юревич, М. А. (2022). Кооперация университетов и бизнеса как фактор формирования технологического суверенитета. Проблемы развития территории, 26(4), 47–60. [Yurevich, M. A. (2022). University-business cooperation as a driver of technological sovereignty. Problems of Territory's Development, 26(4), 47–60. (In Russian).] DOI: 10.15838/ptd.2022.4.120.4.

Яшин, С. Н., Коробова, Ю. С., & Попова, Ю. А. (2024). Инновационный потенциал малых предприятий как драйвер экономического роста России. Вестник Алтайской академии экономики и права, (8-1), 191-196. [Yashin, S. N., Korobova, Yu. S., & Popova, Yu. A. (2024). Innovative potential of small enterprises as a driver of economic growth in Russia. The Bulletin of the Altai Academy of Economics and Law, (8-1), 191-196. (In Russian).] DOI: 10.17513/vaael.3643.