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Formalization of Sustainable Innovative Development Process in the Model of Innovations Diffusion

Author

Listed:
  • Marina V. Shinkevich

    (Kazan National Research Technological University, Kazan, Russia,)

  • Aleksey I. Shinkevich

    (Kazan National Research Technological University, Kazan, Russia)

  • Alexey D. Chudnovskiy

    (Moscow State University of Management, Moscow, Russia,)

  • Irina V. Lushchik

    (Moscow University Named by S.Y. Witte, Moscow, Russia,)

  • Gulnara N. Kaigorodova

    (Kazan (Volga Region) Federal University, Kazan, Russia,)

  • Izida I. Ishmuradova

    (Kazan (Volga Region) Federal University, Kazan, Russia,)

  • Svetlana A. Bashkirtseva

    (Kazan National Research Technological University, Kazan, Russia)

  • Ludmila V. Marfina

    (Kazan State University of Architecture and Engineering, Kazan, Russia,)

  • Tatiana A. Zhuravleva

    (Financial University under the Government of the Russian Federation, Moscow, Russia.)

Abstract

The relevance of the study is reasoned by the fact that the sustainability of innovative development cannot be fully estimated by using the parameters which are traditionally observed by the official statistical bodies, so it suggests the need to improve methodological solutions and technology economic interpretation as well as scaling of indicators' values in this field. At the macro level there is a small number of indicators on the basis of which we can conclude about the stability of innovative development of economic systems at the meso - and macro level. In this regard, this article aims to formalize the process of sustainable innovation development on the basis of the parameters' set formation of the innovations' diffusion model and diagnosis of major economic systems' development level. The leading method is the parameters' set formalization of the quantitative model to estimate the level of economic systems' innovative development based on managerial interpretation of descriptive statistics' indicators of innovation activity in the framework of economic activities. A set of quantitative parameters of 9 parametric model of economic systems' innovative development level is formalized in the article, allowing to diagnose the impact of cyclical factors and the institutional environment that are not fully implemented in the existing macrosystems assessing the level of economic systems' innovative development; methods of diagnosis and economic interpretation of the relevant indices and indicators' levels are proposed. The material of this paper is of practical value for enterprises' innovative activities regulators and monitoring agencies, for regional innovation infrastructure and transfer technology entities, for innovation-active enterprises, because on the basis of the obtained model the optimal solutions in the development of strategies for the upgrading of industries, regions, macro-economic system as a whole are possible.

Suggested Citation

  • Marina V. Shinkevich & Aleksey I. Shinkevich & Alexey D. Chudnovskiy & Irina V. Lushchik & Gulnara N. Kaigorodova & Izida I. Ishmuradova & Svetlana A. Bashkirtseva & Ludmila V. Marfina & Tatiana A. Zh, 2016. "Formalization of Sustainable Innovative Development Process in the Model of Innovations Diffusion," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 6(1), pages 179-184.
    • Handle: RePEc:eco:journ1:2016-01-24
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    References listed on IDEAS

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    1. G. Silverberg & B. Verspagen, 1995. "Evolutionary Theorizing on Economic Growth," Working Papers wp95078, International Institute for Applied Systems Analysis.
    2. V. Polterovich & V. Popov & A. Tonis., 2007. "Mechanisms of Resource Curse and Economic Policy," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
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    Cited by:

    1. Aleksey I. Shinkevich & Alsu R. Akhmetshina & Ruslan R. Khalilov, 2022. "Development of a Methodology for Forecasting the Sustainable Development of Industry in Russia Based on the Tools of Factor and Discriminant Analysis," Mathematics, MDPI, vol. 10(6), pages 1-16, March.
    2. Aleksey I. Shinkevich & Irina G. Ershova & Farida F. Galimulina & Alla A. Yarlychenko, 2021. "Innovative Mesosystems Algorithm for Sustainable Development Priority Areas Identification in Industry Based on Decision Trees Construction," Mathematics, MDPI, vol. 9(23), pages 1-18, November.

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    Keywords

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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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