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Factor Analysis of the Innovation Performance Evaluation Model by Filatov’s Methods

  • E. A. FilatovEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 139)

Abstract

Innovation is an important element in the development of modern production, it is particularly important to obtain various types of effects from the introduction of innovation. Assessing this effect is important both for the individual company level and at higher levels of economic management.

Successful implementation of innovations in various companies requires a professional system of innovation management, which should carry out a policy aimed at the development, promotion, innovation and evaluation of the economic efficiency of innovation. When selecting innovative projects, their economic efficiency assessment should be used. The article proposes the main indicator of innovative activity of enterprises-the author’s seven-factor multiplier model for assessing the effectiveness of innovation.

The basic tool in the comprehensive analysis of economic activity of enterprises is factor analysis. The emphasis in factor analysis is on the study of internal reasons for forming the specifics of the phenomenon under study, to identify the generalized factors that are relevant to specific indicators.

The article presents only two author’s methods of factor analysis, which make it possible to draw up a conclusion about changes in the analysis of the effectiveness of innovations, as well as to assess the degree of influence of factors on changes in the studied indicator.

As a result, this article consolidates knowledge in the field of factor analysis methodology, acquisition of skills in the application of factor system modeling methods, evaluation of the impact of factors on the evaluation of the effectiveness of innovative activity of companies.

Keywords

Factor analysis Innovations Profitability Comparative factors Influence of factors 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Irkutsk Scientific Center of the Siberian Branch of the Russian Academy of SciencesIrkutskRussian Federation

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