Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results
Manoilenko O. V., Serhiienko O. A., Gaponenko O. Y.

Manoilenko, Oleksandr V., Serhiienko, Olena A., and Gaponenko, Olga Ye. (2020) “Modeling the Innovative Activity of Hierarchical Systems: Assessing Diffusion of Innovations and Economic Effect of the Existing Potential and Results.” The Problems of Economy 1:312–324.
https://doi.org/10.32983/2222-0712-2020-1-312-324

Section: Mathematical methods and models in economy

UDC 65.011.56

Abstract:
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.

Keywords: innovative activity, innovative potential, innovation result, hierarchical system, production system, financial result model.

Fig.: 5. Tabl.: 5. Formulae: 22. Bibl.: 22.

Manoilenko Oleksandr V. – Doctor of Sciences (Economics), Professor, Director, Educational and Scientific Institute of Economics, Management and International Business, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: aleksvman@gmail.com
Serhiienko Olena A. – Doctor of Sciences (Economics), Professor, Professor, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: Elena.Sergienko@khpi.edu.ua
Gaponenko Olga Ye. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Entrepreneurship, Trade and Examination of Goods, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: gaponenko.oe@gmail.com

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