Methodological approaches to assessing innovation ecosystems in context of a developing platform economy

K.V. Dyachkov

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Abstract: In the context of digital transformation and the rapid expansion of platform-based business models, innovation ecosystems and platform-driven demand increasingly determine firms’ innovation
behavior.
Aim. The article is to provide a theoretical and analytical justification for the mechanisms of influence of the platform economy and platform models of demand on the innovative behavior of firms, as well as to develop methodological approaches to their assessment.
The scientific novelty of the study lies in conceptualizing platform demand as an endogenous institutional and algorithmic mechanism that shapes innovation trajectories through informational, network, algorithmic, and institutional channels.
The methodological basis of the work was the theory of multi-sided markets, the concept of innovation ecosystems, methods of structural-functional analysis, the formalization of economic dependencies, as well as an analysis of empirical data from Rosstat, the HSE Institute for Statistical Studies and Economics of Knowledge, and the OECD for 2024–2025.
The article demonstrates that the inclusion of firms in platform ecosystems helps reduce the uncertainty of innovation activities, accelerate innovation cycles, and increase the diffusion of product and service innovations.
The study concludes that the impact of the platform economy on innovation activity is systemic in nature, requiring explicit consideration of platform mechanisms in innovation and digital development policies.

Keywords: platform economy, platform demand, innovation activity, digital ecosystems, multi-sided markets, algorithmic governance, network effects, innovation models, digital transformation, business entities

For citation. Dyachkov K.V. Methodological approaches to assessing innovation ecosystems in context of a developing platform economy. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 1. Pp. 188–200. DOI: 10.35330/1991-6639-2026-28-1-188-200

©   Dyachkov K.V., 2026

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Information about the author

Konstantin V. Dyachkov, Postgraduate Student, Scientific and Educational Center, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
konstantinco@yandex.ru, ORCID: https://orcid.org/0009-0006-4654-7791

Funding

The study was performed without external funding.