Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39915079" target="_blank" >RIV/00216275:25410/19:39915079 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s10961-017-9638-0" target="_blank" >https://link.springer.com/article/10.1007/s10961-017-9638-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10961-017-9638-0" target="_blank" >10.1007/s10961-017-9638-0</a>
Alternative languages
Result language
angličtina
Original language name
Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis
Original language description
The ability to acquire, create and effectively utilize knowledge that lead to the creation of innovation appears to be an increasingly important source of competitiveness. A connection has been shown between creativity and innovation. Here we use CIS data for the creative industries in the Czech Republic to show that the collaboration of creative enterprises leads to a more efficient use of knowledge than if enterprises do not collaborate. We present empirical evidence that knowledge spillovers have a positive effect on innovation in creative industries. We show that the positive effect of knowledge spillovers on innovation is greater for enterprises employing both in-house and external individuals with creative skills than for those employing either in-house or external ones. Using fuzzy set qualitative comparative analysis, we find that the above mentioned effects are mostly third-part effects, requiring both knowledge acquisition and collaboration on innovative activities.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50601 - Political science
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Technology Transfer
ISSN
0892-9912
e-ISSN
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Volume of the periodical
44
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
26
Pages from-to
981-1006
UT code for WoS article
000466974500013
EID of the result in the Scopus database
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