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Mathematical determination of technology transfer efficiency
 
PIIS042473880010522-3-1
DOI10.31857/S042473880010522-3
Publication type Article
Status Published
Authors
Vladimir Chaplygin 
Affiliation: Wyższa Szkoła Bankowa w Gdańsku WSB University
Address: Poland, Gdańsku
Vadim Moroz
Affiliation: St. Petersburg University of Management Technologies and Economics – Kaliningrad branch
Address: Russia
Journal nameEkonomika i matematicheskie metody
EditionVolume 56 Issue 3
Pages136-144
Abstract

 

Coordination and regulation of the technology transfer processes in the innovation cluster by the leading organization — the «core», carried out by taking into account the nature of the interaction between the participants that are parties of a transfer, can significantly increase the efficiency of technology transfer and, thus, contribute to the complete realization of the advantages of the cluster as a form of interaction between organizations. Based on the analysis of the concept of network centrality in combination with the theory of fuzzy sets and the apparatus of mathematical statistics, a methodology has been developed for determining the optimal method of regulation by the leading organization — the «core» — the innovation cluster — technology transfer processes carried out as part of the interaction of cluster members in the course of joint implementation of activities aimed at creating and implementing innovations. A new approach is proposed to determine the optimal method for regulating the technology transfer processes in the innovation cluster, based on the optimal degree of participation of the «core» of the innovation cluster in the technology transfer processes. A feature of the proposed approach is the allocation of regulatory methods that reflect the nature and degree of regulation of the technology transfer processes in the innovation cluster from the «core» side, and determine the degree of their influence on the technology transfer efficiency. The developed methodology for choosing the optimal way to regulate the technology transfer processes in the innovation cluster will reduce the time costs associated with the creation of new knowledge and accelerate access to the markets of innovative products.

 

 

Keywordsinnovation cluster, technology transfer, scenario for regulating technology transfer processes, fuzzy set theory, membership function, regression analysis.
Received02.09.2020
Publication date04.09.2020
Number of characters27526
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