Identification of knowledge bases: the case of the Czech Republic
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Identification of knowledge bases: the case of the Czech Republic
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Identification of knowledge bases: the case of the Czech Republic
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AH - Ekonomie
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Engineering Economics
ISSN
1392-2785
e-ISSN
—
Svazek periodika
27
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
LT - Litevská republika
Počet stran výsledku
10
Strana od-do
568-577
Kód UT WoS článku
000391089200008
EID výsledku v databázi Scopus
—