The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method

In the current economic environment, the effective operation of higher education institutions is difficult to imagine without collaboration with organizations from the real sector of the economy, particularly in the context of innovation generation. Decision-makers responsible for the development of...

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Main Author: A. A. Ivashchenko
Format: Article
Language:Russian
Published: Government of the Russian Federation, Financial University 2025-03-01
Series:Управленческие науки
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Online Access:https://managementscience.fa.ru/jour/article/view/624
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author A. A. Ivashchenko
author_facet A. A. Ivashchenko
author_sort A. A. Ivashchenko
collection DOAJ
description In the current economic environment, the effective operation of higher education institutions is difficult to imagine without collaboration with organizations from the real sector of the economy, particularly in the context of innovation generation. Decision-makers responsible for the development of academic-industrial partnerships require modern methods to assess the potential effectiveness of such interactions. This study aims to develop a fuzzy-set-based integral aggregation model for evaluating the effectiveness of interorganizational innovations. The research contributes to scientific novelty through the following key solutions: the development of a hierarchical structure of integral indicators for assessing interorganizational innovation effectiveness; the selection of components and the evaluation of their significance using Fishburne’s weighting method; the creation of a fuzzification database to transform precise numerical values into fuzzy sets; the construction of an equation system to quantify non standardized components values to term sets membership degree and the formulation of a calculation method for intersection points of non-inversive indicators. The results of the conducted research has practical value and are possible to be used by both academic institutions and organizations in the real sector of economy for a preliminary assessment of interorganizational collaboration effectiveness in innovation generation. Future research by the author in this field will be aimed at testing the developed model refining it, and further systematizing and algorithmizing the results for efficient use in interorganizational innovation management.
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spelling doaj-art-e4f2c8e1453e4f518830b7c5f95a9ee22025-08-04T10:23:42ZrusGovernment of the Russian Federation, Financial UniversityУправленческие науки2304-022X2618-99412025-03-0115110512110.26794/2304-022X-2025-15-1-105-121389The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets MethodA. A. Ivashchenko0Peter the Great St. Petersburg Polytechnic UniversityIn the current economic environment, the effective operation of higher education institutions is difficult to imagine without collaboration with organizations from the real sector of the economy, particularly in the context of innovation generation. Decision-makers responsible for the development of academic-industrial partnerships require modern methods to assess the potential effectiveness of such interactions. This study aims to develop a fuzzy-set-based integral aggregation model for evaluating the effectiveness of interorganizational innovations. The research contributes to scientific novelty through the following key solutions: the development of a hierarchical structure of integral indicators for assessing interorganizational innovation effectiveness; the selection of components and the evaluation of their significance using Fishburne’s weighting method; the creation of a fuzzification database to transform precise numerical values into fuzzy sets; the construction of an equation system to quantify non standardized components values to term sets membership degree and the formulation of a calculation method for intersection points of non-inversive indicators. The results of the conducted research has practical value and are possible to be used by both academic institutions and organizations in the real sector of economy for a preliminary assessment of interorganizational collaboration effectiveness in innovation generation. Future research by the author in this field will be aimed at testing the developed model refining it, and further systematizing and algorithmizing the results for efficient use in interorganizational innovation management.https://managementscience.fa.ru/jour/article/view/624interorganizational innovationsfuzzy sets methodintegral assessmentinnovation effectivenessinnovation managementacademic institutionsreal sector economyacademic industrial partnership
spellingShingle A. A. Ivashchenko
The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
Управленческие науки
interorganizational innovations
fuzzy sets method
integral assessment
innovation effectiveness
innovation management
academic institutions
real sector economy
academic industrial partnership
title The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
title_full The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
title_fullStr The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
title_full_unstemmed The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
title_short The Integral Assessment of Interorganizational Innovation Effectiveness Using Fuzzy Sets Method
title_sort integral assessment of interorganizational innovation effectiveness using fuzzy sets method
topic interorganizational innovations
fuzzy sets method
integral assessment
innovation effectiveness
innovation management
academic institutions
real sector economy
academic industrial partnership
url https://managementscience.fa.ru/jour/article/view/624
work_keys_str_mv AT aaivashchenko theintegralassessmentofinterorganizationalinnovationeffectivenessusingfuzzysetsmethod
AT aaivashchenko integralassessmentofinterorganizationalinnovationeffectivenessusingfuzzysetsmethod