РАЗВИТИЕ ПОНЯТИЙНОГО АППАРАТА ЗНАНИЕВОГО КЛАСТЕРА

Abstract

The most effective network structure of emerging model of socio-economic system where knowledge gain a special role is the clusters that are characterized by a unique opportunity to generate new knowledge and business ideas, research and development works and technologies using fruitful partnership of scientific, educational and business organizations. In the context of the knowledge economy progressive development, a new type of clusters will obviously be formed with some specific features. Since intellectual production becomes an attribute of this new economy, it requires a number of scientific issues to be solved; they concern identification of distinctive features of this type of cluster as well as development of definitions to describe them. The purpose of this research is to develop categorical apparatus to describe a “knowledge-based cluster”. As a methodological device used to develop the definition of the “knowledge-based cluster” category, a method of two-level triadic decryption of the basic category of dynamic information systems theory is applied. This paper contains an overview and critical analysis of the cluster definitions of both foreign and Russian researchers. It discloses the development of scientific understanding of the knowledge-based clusters phenomenon, the authors' choice of this category has been grounded. The use of the content analysis method, and a two-level triadic decryption of the basic category has allowed as part of the study to identify categories that reflect the essential characteristics of clusters operating in the knowledge economy, and to construct a definition of the “knowledge-based cluster” category. The scientific theory of economic clusters is enriched with the system of concepts used for description of this new type of knowledge-based clusters. The findings of the research will find their application in development of the concept of formation management and development of knowledge-based clusters, which will ultimately contribute to specification and development of the clusters theory.