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Comparison of two cluster life stages in a synthetic knowledge base

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  • Ebru Mobedi
  • Mustafa Tanyeri

Abstract

Knowledge flows in clusters are highly important since they are related to innovation. Types and spatial levels of knowledge sources have been studied by many scholars. This study examines knowledge sources from evolutionary perspective. Evolutionary Economic Geography suggests that regional industries and their dynamics co-evolve. While conceptual and empirical studies argue that network characteristics take different characteristics throughout time, and that knowledge sources are subject to change, little is known about in what way they change in a synthetic knowledge base. In this study, we examined the knowledge sources in a specific knowledge base throughout time. The study was applied to two clusters in Turkey in a synthetic knowledge base yet in different life stages: emergence and maturity. The network structure was analysed by social network analysis, hypotheses were tested by Mann–Whitney U-Tests. The findings show that although network structure and density change through maturity, the types and spatial levels of knowledge sources do not vary between the two life stages, they keep the same characteristics of their knowledge bases.

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  • Ebru Mobedi & Mustafa Tanyeri, 2019. "Comparison of two cluster life stages in a synthetic knowledge base," European Planning Studies, Taylor & Francis Journals, vol. 27(9), pages 1687-1708, September.
    • Handle: RePEc:taf:eurpls:v:27:y:2019:i:9:p:1687-1708
    DOI: 10.1080/09654313.2019.1628182
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    Cited by:

    1. Tatyana V. Mirolyubova & Dmitry A. Koshcheev, 2022. "System spatial method for assessing an industrial cluster’s impact on the regional socioeconomic development," Journal of New Economy, Ural State University of Economics, vol. 23(4), pages 69-86, January.

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