Innovation networks effects simulation models

Olha Prokopenko, Vitaliy Omelyanenko, T. Ponomarenko, O. Olshanska


In current conditions it becomes necessary to develop guidelines for development of the national innovation systems and assessing their role in sustainable national socio-economic development. In the conditions innovation development strategies should be focused on ensuring the competitiveness of economic entities, which can be done through innovation networks. The study enhances academic understanding of the factors of innovation transformation based on innovation networks, designed to ensure the involvement of large number of agents to contribute to the implementation of structural changes. In this paper authors analyze the main indicators of innovation networks impact and investigate the main aspects of innovation networks effects simulation. The hypothesis of the study deals with the assumption that the innovation development of the economic system at the present stage, in addition to stimulating the innovative activity of existing entities, deals with the formation of network structures. This research addresses the indicators for networks modeling by developing and testing a series of points indicating how networks affect economic growth. The foregoing discussion has attempted to innovation networks innovation potential assessing methodology based on indicators of the quantitative composition and dynamics of innovation potential to substantiate the viability of this organizational form in developing sectoral policies and technological priorities has been developed. The developed economic and mathematical model of innovation management network leads us to the conclusion that allows predict changes and form a targeted impact on factors when creating new intersectoral structures in order to increase the volume of innovation products.

Full Text:




  • There are currently no refbacks.

Copyright (c) 2019 Olha Prokopenko

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License