Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis

Jan Stejskal () and Petr Hajek ()
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Jan Stejskal: University of Pardubice
Petr Hajek: Institute of System Engineering and Informatics, University of Pardubice

The Journal of Technology Transfer, 2019, vol. 44, issue 3, No 13, 1006 pages

Abstract: Abstract 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.

Keywords: Creative industry; Knowledge spillover; Collaboration; Innovation (search for similar items in EconPapers)
JEL-codes: C63 O11 O32 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10961-017-9638-0

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