Modeling and Analysis of Digital Innovation Development Processes
EDN: TPYLLO
Abstract
Innovations in the modern world are the main driver of economic development. Digital innovations are the most significant, being cross-cutting in nature and therefore having the most significant impact on economic growth. This study identifies patterns in the development of digital innovations in the economy using quantitative analytical methods. The structural characteristics of innovation activity, the degree of diffusion of digital technologies, and the effectiveness of their implementation are considered. The aim of this article is to identify patterns in the development of digital innovations in the Russian economy using quantitative assessment methods, including constructing an integral index and analyzing the structural characteristics of innovative digital activity. The article proposes an integral index of digital innovations based on the normalization of statistical indicators and weighted aggregation. An analysis of this indicator's dynamics for 2020–2024 is conducted, revealing imbalances in sectoral development and institutional limitations. The need for a transition to more complex models for assessing the effectiveness of digital transformations is substantiated, as calculations using the author's digital innovation effectiveness indicator indicate declining returns.
About the Author
M. A. Elovskaya
Siberian University of Consumer Cooperatives
Russian Federation
Russian Federation
Maria A. Yelovskaya, PhD in Economics, Associate Professor, Associate Professor of the Department of Theoretical and Applied Economics
Novosibirsk
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For citations:
Elovskaya M.A. Modeling and Analysis of Digital Innovation Development Processes. Administrative Consulting. 2026;(3):95–103. (In Russ.) EDN: TPYLLO
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