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Modelling Innovation Activity in Regional Innovation Networks Using Fuzzy Cognitive Maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901950" target="_blank" >RIV/00216275:25410/16:39901950 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling Innovation Activity in Regional Innovation Networks Using Fuzzy Cognitive Maps

  • Original language description

    Intensive communication and collaboration between actors are critical for a successful innovation process. This knowledge exchange can be effectively facilitated by geographical proximity inside regional innovation networks. Previous literature has shown that regional innovation networks are complex and dynamic systems, which cannot be effectively modeled using traditional methods such as structural equation models or system dynamics simulation. The main issue to be addressed is the uncertainty in knowledge linkages. Here, we use the amount of financial support for cooperative projects in applied research and experimental development as listed by the Technology Agency of the Czech Republic (TACR) as a proxy for these linkages. To model the dynamics and uncertainty in regional innovation networks, we have developed a fuzzy cognitive map that allows for effective simulation of knowledge linkages when given the initial settings. In this way, we demonstrate the short- and long-term effects of financial support on the innovative activity of individual organizations (measured by patent applications). Using the data for one Czech region collected from the TACR database for 2011-2015, we demonstrate the evolving patterns of various scenarios of innovation policy and financial support, respectively. These simulations indicate the strong central position of universities in regional innovation networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-02836S" target="_blank" >GA14-02836S: Modelling of knowledge spill-over effects in the context of regional and local development</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 11th European Conference on Innovation and Entrepreneurship

  • ISBN

    978-1-911218-08-1

  • ISSN

    2049-1050

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    239-246

  • Publisher name

    Academic Conferences and Publishing International

  • Place of publication

    Reading

  • Event location

    Jyväskylä

  • Event date

    Sep 15, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389514100029