Received: 15.01.2026 Published: 15.01.2026
UDC: 330.341.1 EDN: KJJBSF
Abstract
The article criticizes established diffusion models (Fisher-Pry, Bass, etc.) that view technological substitution as a zero-sum game and ignore the possibility of technological co-evolution. In an environment where old and new technologies coexist for extended periods, a more flexible analytical tool is required, making this a relevant approach for studying the development of innovative technologies. The paper’s objective is to propose a new, more nuanced model of innovation diffusion that challenges the paradigm of pure competition. The author introduces the concepts of “symbiotic” and “predator-prey” competition to describe the dynamics of coexistence between new and established technologies, based on the Lotka-Volterra model. This model facilitates the analysis of product generation evolution, fostering systemic strategic thinking that helps avoid excessive investment in declining businesses and identify new growth opportunities. The main conclusion of the research is that the proposed approach is particularly crucial for analyzing “breakthrough” innovations in the digital era, where product and market boundaries are blurred (e. g., the transition from physical media to streaming), and technological interaction is especially complex and dynamic. The proposed conceptual framework also allows for analyzing the specifics of technological substitution and coevolution in the context of dynamically developing markets, including the Russian market, where the coexistence of legacy and new technological solutions is of particular importance.
Keywords
How to cite
Для цитирования:
Ерохин В.В., Павлютенкова О.А. Конкуренция и диффузия инноваций: динамический аспект // Экономика науки. 2026. Т. 12, № 1. С. 122–135.
For citation:
Erokhin V.V., Pavlyutenkova O.A. Competition and the diffusion of innovations: a dynamic perspective // Economics of Science. 2026. Vol. 12, no. 1. P. 122–135.
Коды статьи
- УДК 330.341.1
- EDN KJJBSF
- Тип статьи (РИНЦ) Научная статья (Научная статья)
How to Cite
Erokhin V.V., Pavlyutenkova O.A. Competition and the diffusion of innovations: a dynamic perspective // Economics of Science. 2026. Vol. 12, no. 1. P. 122–135.
References
- Глазьев, С.Ю. (2010). Стратегия опережающего развития России в условиях глобального кризиса. Экономика. EDN: QUGVQF
- Глазьев, С.Ю. (1993). Теория долгосрочного технико-экономического развития. ВлаДар. EDN: YSXIUV
- Глазьев, С.Ю., Айвазов, А.Э., & Беликов, В.А. (2019). Циклически-волновые теории экономического развития и перспективы мировой экономики. Предсказуемо ли среднесрочное и долгосрочное развитие мировой экономики. Научные труды Вольного экономического общества России, 219(5), 177–211. EDN: XWMZDH
- Сухарев, О.С. (2010). Иерархические структуры и инновационное развитие. Экономический анализ: теория и практика, 37(202), 2–14. EDN: MVUITT
- Сухарев, О.С. (2024). Технологическое развитие: перспективы искусственного интеллекта. Эргодизайн, 4(26), 424–434. EDN: GQFVHE, https://doi.org/10.30987/2658-4026-2024-4-424-434
- Сухарев, О.С. (2020). Эффективность наукоемких фирм и формирование инновационной динамики. Федерализм, 1(97), 44–65. EDN: JKZPML, https://doi.org/10.21686/2073-1051-2020-1-44-65
- Bhargava, S.C. (1989). Generalized Lotka-Volterra equations and the mechanism of technological substitution. Technological Forecasting and Social Change, 35(4), 319–326. https://doi.org/10.1016/0040-1625(89)90068-1
- Carroll, G.R. (1981). Dynamics of organizational expansion in national systems of education. American Sociological Review, 46(5), 585–599. https://doi.org/10.2307/2094940
- Fisher, J.C., & Pry, R.H. (1971). A simple substitution model of technological change. Technological Forecasting and Social Change, 3, 75–88. https://doi.org/10.1016/S0040-1625(71)80005-7
- Girifalco, L.A. (1991). Dynamics of technological change. Springer. https://doi.org/10.1007/978-1-4684-6509-9
- Grubler, A. (1991). Diffusion: long-term patterns and discontinuities. Technological Forecasting and Social Change, 39(1–2), 159–180. https://doi.org/10.1016/0040–1625(91)90034-D
- Mahajan, V., Muller, E., & Bass, F.M. (1993). New-product diffusion models. In Handbooks in Operations research and management science (Vol. 5, pp. 349–408). Elsevier. https://doi.org/10.1016/S0927-0507(05)80031-3
- Marchetti, C. (1987). Infrastructures for movement. Technological Forecasting and Social Change, 32(4). https://doi.org/10.1016/0040-1625(87)90053-9
- Norton, J.A., & Bass, F.M. (1987). A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Science, 33(9), 1069–1086. http://www.jstor.org/stable/2631875
- Rogers, E.M. (2002). Diffusion of preventive innovations. Addictive Behaviors, 27(6), 989–993. https://doi.org/10.1016/S0306-4603(02)00300-3
- Rogers, E.M. (2010). Diffusion of Innovations (4th ed.). Simon and Schuster.
- Rogers, E.M. (2015). Evolution: diffusion of innovations. In International encyclopedia of the social & behavioral sciences (2nd ed., pp. 378–381). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.81064-8
- Rogers, E.M., Singhal, A., & Quinlan, M. (2019). Diffusion of innovations. In an integrated approach to communication theory and research (pp. 182–186). Lawrence Erlbaum Associates. EDN: GRFQHN, https://doi.org/10.4324/9780203710753-35
- Utterback, J.M., & Brown, J.W. (1972). Profiles of the future monitoring for technological opportunities. Business Horizons, 15(5), 5–15. https://doi.org/10.1016/0007-6813(72)90042-0
