Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results

In the article, models for assessing the innovative potential and results of innovative activity of enterprises in Kharkiv region are built, which makes it possible to classify enterprises according to the degree of development of their innovative potential and results of its use. Innovative potenti...

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Main Authors: Manoilenko Oleksandr V., Sergienko Olena A., Gaponenko Olga Ye.
Format: Article
Language:English
Published: PH "INZHEK" 2020-03-01
Series:Problemi Ekonomiki
Subjects:
Online Access:https://www.problecon.com/export_pdf/problems-of-economy-2020-1_0-pages-312_324.pdf
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spelling doaj-2eebe0a791dc444498b2bc4f4ad29e392020-11-25T03:05:16ZengPH "INZHEK"Problemi Ekonomiki2222-07122311-11862020-03-0114331232410.32983/2222-0712-2020-1-312-324Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and ResultsManoilenko Oleksandr V.0https://orcid.org/0000-0001-5979-4077Sergienko Olena A.1https://orcid.org/0000-0002-9796-9218Gaponenko Olga Ye.2https://orcid.org/0000-0003-4672-3311National Technical University «Kharkiv Polytechnic Institute» National Technical University «Kharkiv Polytechnic Institute» National Technical University «Kharkiv Polytechnic Institute» In the article, models for assessing the innovative potential and results of innovative activity of enterprises in Kharkiv region are built, which makes it possible to classify enterprises according to the degree of development of their innovative potential and results of its use. Innovative potential is considered as an integral characteristic of innovative resource support for a production system, which is the sum of human, industrial, technological, financial, structural, scientific and technical, resources that facilitate innovative activity. A scale is developed for assessing innovation activity and susceptibility of industrial enterprises to innovation (innovatively active enterprises (IAE); susceptible to innovation enterprises (SIE); insusceptible to innovation enterprises (IIE). The presented allows for building a model of innovative activity of enterprises taking into account interaction of enterprises and evaluating the impact of government stimulation of innovation on increase in the number of innovatively active enterprises. Using the panel data analysis, a model of financial effect of the number of innovatively active enterprises is built. The developed model is used to predict the results of stimulating innovation activity in the region and to form scenarios for stimulating innovation in regions. To assess the impact of state stimulation of innovation activity on growth in the number of innovatively active enterprises and to evaluate income from the implementation of innovative activity, a model of innovative activity of enterprises that takes into account the probabilistic nature of the diffusion of innovation as a result of interaction of enterprises is constructed. It is found that as a result of the impact of innovatively active production enterprises and SIEs on an IIE, the probability of diffusion is 0.5; i.e., in 50% of cases, the production system passes into the class of production systems that are susceptible to innovation.https://www.problecon.com/export_pdf/problems-of-economy-2020-1_0-pages-312_324.pdfinnovative activityinnovative potentialinnovation resulthierarchical systemproduction systemfinancial result model
collection DOAJ
language English
format Article
sources DOAJ
author Manoilenko Oleksandr V.
Sergienko Olena A.
Gaponenko Olga Ye.
spellingShingle Manoilenko Oleksandr V.
Sergienko Olena A.
Gaponenko Olga Ye.
Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
Problemi Ekonomiki
innovative activity
innovative potential
innovation result
hierarchical system
production system
financial result model
author_facet Manoilenko Oleksandr V.
Sergienko Olena A.
Gaponenko Olga Ye.
author_sort Manoilenko Oleksandr V.
title Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
title_short Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
title_full Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
title_fullStr Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
title_full_unstemmed Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
title_sort modeling the innovative activity of hierarchical systems: assessing diffusion of innovations and economic effect of the existing potential and results
publisher PH "INZHEK"
series Problemi Ekonomiki
issn 2222-0712
2311-1186
publishDate 2020-03-01
description In the article, models for assessing the innovative potential and results of innovative activity of enterprises in Kharkiv region are built, which makes it possible to classify enterprises according to the degree of development of their innovative potential and results of its use. Innovative potential is considered as an integral characteristic of innovative resource support for a production system, which is the sum of human, industrial, technological, financial, structural, scientific and technical, resources that facilitate innovative activity. A scale is developed for assessing innovation activity and susceptibility of industrial enterprises to innovation (innovatively active enterprises (IAE); susceptible to innovation enterprises (SIE); insusceptible to innovation enterprises (IIE). The presented allows for building a model of innovative activity of enterprises taking into account interaction of enterprises and evaluating the impact of government stimulation of innovation on increase in the number of innovatively active enterprises. Using the panel data analysis, a model of financial effect of the number of innovatively active enterprises is built. The developed model is used to predict the results of stimulating innovation activity in the region and to form scenarios for stimulating innovation in regions. To assess the impact of state stimulation of innovation activity on growth in the number of innovatively active enterprises and to evaluate income from the implementation of innovative activity, a model of innovative activity of enterprises that takes into account the probabilistic nature of the diffusion of innovation as a result of interaction of enterprises is constructed. It is found that as a result of the impact of innovatively active production enterprises and SIEs on an IIE, the probability of diffusion is 0.5; i.e., in 50% of cases, the production system passes into the class of production systems that are susceptible to innovation.
topic innovative activity
innovative potential
innovation result
hierarchical system
production system
financial result model
url https://www.problecon.com/export_pdf/problems-of-economy-2020-1_0-pages-312_324.pdf
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