Identification of knowledge bases: the case of the Czech Republic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F16%3A00092597" target="_blank" >RIV/00216224:14560/16:00092597 - isvavai.cz</a>
Result on the web
<a href="http://inzeko.ktu.lt/index.php/EE/article/view/14276" target="_blank" >http://inzeko.ktu.lt/index.php/EE/article/view/14276</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5755/j01.ee.27.5.14276" target="_blank" >10.5755/j01.ee.27.5.14276</a>

Result language
angličtina
Original language name
Identification of knowledge bases: the case of the Czech Republic
Original language description
This paper deals with the concept of differentiated knowledge bases, an area related to the study of the regional innovation systems. The concept explores the ways in which knowledge is involved in innovation processes and knowledge flows within and between organisations. Some limitation of this concept can be the fact that there is no clear method for identification of knowledge bases in regions. The aim of this paper is to propose appropriate indicators and methodology to empirically identify the knowledge base of a region. The second aim of this paper is to use this methodology for the identification of knowledge bases in the Czech regions. The methods used for the classification include the point method and cluster analysis. Based on the combination of these methods, the Czech regions are classified into four groups – those with a prevailing analytical, synthetic, analytical-synthetic, and synthetic-analytical knowledge base.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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