Methodology for assessing the effectiveness of regional infrastructure facilities to support scientific, technical and innovation activities in the context of the synergy effect: analysis, formation and study

Описание

Тип публикации: статья из журнала

Год издания: 2022

Идентификатор DOI: 10.1186/s13731-022-00257-w

Ключевые слова: evaluation methods, infrastructure for support of scientific, innovation activity, regional economy, research, technical and innovation activities

Аннотация: The objective of the study is to develop a method for the evaluation of efficiency of the regional infrastructure facilities for the support of scientific, research, technical and innovation activities. This paper presents an analysis of the methods currently used in Russia and abroad, identifying their advantages and disadvantagesПоказать полностью. Based on the analysis, the author suggests a list of parameters characterizing the given domain, and develops a system for the integrated parameter calculation; a list of the regions is provided with the potential for the most objective efficiency evaluation and testing of the developed method; conclusions are made based on the demonstrated calculations. As a result, the developed method is considered effective and promising. Regardless of the composite index currently being in the stability zone, some of its components may lie in the catastrophic risk zone, posing potential threats to the further innovative development of the subject. At the same time, it is found out that an important role in the efficient functioning of the infrastructure supporting the scientific, research, technical and innovation activities belongs to the legislative environment and the closed innovative cycle (synergy effect). © 2022, The Author(s).

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Издание

Журнал: Journal of Innovation and Entrepreneurship

Выпуск журнала: Vol. 11, Is. 1

Номера страниц: 65

ISSN журнала: 21925372

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Byvshev V. (Department of Economic and Financial Security, Siberian Federal University, Krasnoyarsk, Russian Federation, Department of Organization and Support of Competitions, Krasnoyarsk Regional Fund for Support of Scientific and Technical Activities, Krasnoyarsk, Russian Federation)
  • Parfenteva K. (Organizational and Analytical Department, Krasnoyarsk Regional Fund for Support of Scientific and Technical Activities, Krasnoyarsk, Russian Federation)
  • Panteleeva I. (Department of Advertising and Socio-Cultural Activities, Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk Regional Fund for Support of Scientific and Technical Activities, Krasnoyarsk, Russian Federation)
  • Uskov D. (Department of Economic and Financial Security, Siberian Federal University, Krasnoyarsk, Russian Federation, Department of Organization and Support of Competitions, Krasnoyarsk Regional Fund for Support of Scientific and Technical Activities, Krasnoyarsk, Russian Federation)
  • Demin V. (Department of Organization and Support of Competitions, Krasnoyarsk Regional Fund for Support of Scientific and Technical Activities, Krasnoyarsk, Russian Federation, Department of Artificial Intelligence Systems, Siberian Federal University, Krasnoyarsk, Russian Federation)

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