UDC 330.341.1

Doliba A.V.¹ (Moscow, Russian Federation) – vjald007@gmail.com

¹Plekhanov Russian University of Economics

Abstract. This article comprehensively examines the integration of the open innovation paradigm into the business operations of industrial enterprises in the context of global digital transformation and the transition to a data economy. The relevance of this topic stems from the critical need to adapt traditional closed research and development (R&D) management models to highly volatile markets, the rapidly accelerating technological cycles of Industry 4.0, and intensifying global competition for qualified talent in the post-pandemic recovery. The object of this study is open innovation models, and the subject of this research is the integration of open innovation models in a digital society. The aim of this work is to develop a comprehensive methodological approach to the quantitative and qualitative assessment of the effectiveness of open innovation implementation using digital platforms, crowdsourcing, and innovation ecosystems. The study utilizes methods of system analysis, comparative econometric modeling taking into account industry specifics, forecasting, and an in-depth analysis of cases from leading technology corporations. The scientific novelty lies in clarifying the concept of “digital open innovation,” systematizing the factors influencing the economic sustainability of hybrid models, and proposing a unique performance metric. Based on the analysis, the authors identify three main models for integrating open innovations enhanced by digital technologies: inbound, outbound, and coupled, and outline their main advantages and disadvantages. It is noted that the coupled model is the most effective, enabling the formation of innovative ecosystems that allow engineers from different companies to collaborate simultaneously. This is especially relevant when developing future technologies that do not offer immediate benefits but require long-term investment. Prospects for further research include the use of artificial intelligence to develop standards for assessing the quality of external innovation flows, as well as studying the impact of government regulation on the development of open innovation ecosystems in the context of digitalization. The practical significance of this study lies in the fact that the results of this study can be used by companies when developing innovation development strategies.

Keywords: open innovation, digital transformation, innovation ecosystem, transaction costs, knowledge management, digital platforms, intellectual property, R&D, economic efficiency.

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For citation: Doliba, A. V. (2026). Integration of open innovation models in the context of digital transformation of the economy: Theoretical and methodological aspect. CITISE, 2, 38–46. (In Russian).