Methodology for assessing the efficiency of innovation infrastructure organizations

Abstract


The paper is devoted to the use of mathematical modeling methods to develop a methodological approach to assessing the effectiveness of organizations whose activities are related to innovative development. The peculiarity of innovative development is revealed and the role of organizations involved in the scientific and technological policy of the state is determined. As a result of the analysis, the main types of innovation infrastructure organizations, their functional purpose and support from the executive authorities are displayed. The theoretical part of the study is the formation of a consolidated list of performance indicators of innovation infrastructure organizations for further use in the practical component of the work. Based on the previously conducted research, the choice of mathematical tools for the development of assessment methodology is justified, which provides for the use of the theory of fuzzy sets and fuzzy logic, the method of hierarchy analysis, time series analysis. The listed set of modeling methods is applied from the point of view of the complexity of the research object: quantitative and qualitative indicators are taken into account, the involved variables are prioritized, the analyzed external factors of influence are taken into account. This approach makes it possible to increase the objectivity of the assessment results. As an example, the proposed methodological approach is used to assess one of the elements of innovation infrastructure. The conclusion emphasizes the need for a comprehensive assessment and clarifies the practical applicability of the proposed approach. The methodology can be used by public authorities for the expedient allocation of financial resources and other incentives for innovation infrastructure organizations. The methodology is also applicable for internal audit of the activities of the elements considered in this paper in order to develop recommendations to improve their own efficiency.

Full Text

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About the authors

S. S Kuzora

Far Eastern Federal University

E. B Oleinik

Far Eastern Federal University

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