Improvement of the Method for Selecting Innovation Projects on the Platform of Innovative Supermarket

Autor: Petro Pererva, Oleg Besprozvannykh, Viktoriia Tiutlikova, Viktoriia Kovalova, Olga Kudina, Oleksandr Dorokhov
Rok vydání: 2019
Předmět:
Zdroj: TEM Journal, Vol 8, Iss 2, Pp 454-461 (2019)
DOI: 10.18421/tem82-19
Popis: The method of selection of innovative projects on the rating assessment of their economic efficiency was improved in the course of the study. This method implies systematization of different orientation of the lighting aspects of economic efficiency of innovative projects of individual indicators and justification of the procedure of generalization of the integral criterion of economic efficiency. Thus, the indicators of economic efficiency of innovative projects have a very narrow direction of application and allow you to compare only the same capital costs of the project. In order to facilitate the comparative evaluation of innovative projects in the paper it is proposed to carry out an integrated assessment, which involves ranking of the projects on the level of individual indicators of economic efficiency. This method makes it possible to comprehensively assess projects of different characteristics, economic sphere, duration of implementation and contains a set of characteristics of the studied projects, which systematically describe the level of economic efficiency. Generalization of single indicators of economic efficiency of innovative projects is carried out on the basis of a point assessment of level.The scoring is carried out using the "3 Sigma rule", followed by the normal distribution of the data, almost reliably, can be distributed within the average value. This allows you to determine the score and rank of each indicator. The proposed method allows for multi-criteria evaluation of the project to quantitative comparison of individual parameters of different projects and allows you to hide different economic content and units of measurement indicators in a single matter. This allows you to make informed management decisions on investing.
Databáze: OpenAIRE