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Identification of Knowledge Bases: The Case of the Czech Republic

机译：知识库的识别：捷克共和国的案例

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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 methodology 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. Based on this typology, the Czech regions are classified into four groups - those with a prevailing analytical, synthetic, analytical-synthetic, and synthetic-analytical knowledge base. The methods used for the classification include the point method and cluster analysis, which allows aggregating regions with similar characteristics. 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.
机译：本文涉及差异化知识库的概念，该地区与区域创新系统研究有关。该概念探讨了知识涉及创新过程和知识流动的方式，而且组织之间的知识流动。对这种概念的一些限制可能是没有明确的方法来识别区域中知识库的方法。本文的目的是提出适当的指标和方法，以证明地区的知识库。本文的第二个目的是使用该方法来确定捷克地区的知识库。基于此类型学，捷克地区分为四组 - 具有普遍分析，合成，分析合成和合成分析知识库的人。用于分类的方法包括点方法和群集分析，允许具有相似特性的聚合区域。首都布拉格，南波西米亚地区和南摩拉维亚地区是分析基础的南莫拉维亚地区。在Liberec地区，Zlin地区和综痛区域中鉴定了一种合成知识库。在剩余的区域中发现了两个过渡类型中的一个。在现实生活实践中，这些结果最重要的是实施区域创新政策，应该始终尊重给定区域的特征。

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