J 2016

Identification of knowledge bases: the case of the Czech Republic

ŽÍTEK, Vladimír and Viktorie KLÍMOVÁ

Basic information

Original name

Identification of knowledge bases: the case of the Czech Republic

Name in Czech

Identifikace znalostních základen: příklad České republiky

Authors

ŽÍTEK, Vladimír (203 Czech Republic, guarantor, belonging to the institution) and Viktorie KLÍMOVÁ (203 Czech Republic, belonging to the institution)

Edition

Engineering Economics, 2016, 1392-2785

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Lithuania

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 0.726

RIV identification code

RIV/00216224:14560/16:00092597

Organization unit

Faculty of Economics and Administration

DOI

UT WoS

000391089200008

Keywords (in Czech)

znalostní základna; inovace; výzkum a vývoj; regionální inovační systém; Česká republika

Keywords in English

Knowledge base; Innovation; Research and development; Regional innovation system; Czech Republic; Point method; Cluster analysis
Změněno: 7/3/2017 09:47, doc. Ing. Vladimír Žítek, Ph.D.

Abstract

V originále

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. The Capital City of Prague, the South Bohemian Region, and the South Moravian Region were among the ones with an analytical base. A synthetic knowledge base was identified in the Liberec Region, the Zlin Region, and the Vysocina Region. One of the two transitional types was found in the remaining regions. In real-life practice the findings can be applied, above all, to the implementation of regional innovation policies, which should always respect the characteristics of the given region.

Links

MUNI/A/0999/2015, interní kód MU
Name: Inovační výkonnost a její reflexe v inovační politice (Acronym: INOPO)
Investor: Masaryk University, Category A