Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods

Springer Science and Business Media LLC - Tập 49 - Trang 2481-2505 - 2014
Reza Naghizadeh1, Shaban Elahi1, Manoochehr Manteghi2, Sepehr Ghazinoory1, Marina Ranga3
1Department of Information Technology Management, School of Management and Economy, Tarbiat Modares University, Tehran, Iran
2Department of Industrial Engineering, College of Engineering, Tehran University, Tehran, Iran
3H-STAR Institute, Stanford University, Stanford, USA

Tóm tắt

This paper performs a fine-grained analysis of regional innovation models discussed in the literature, using a combination of quantitative (co-word analysis) and qualitative (meta-synthesis) methods applied to 300 papers from the Scopus and Sage databases covering the period 1990–2013. The co-word analysis produced knowledge maps that identify the most frequently occurring regional innovation models and group them into three clusters: Cluster 1 (industrial districts, local production systems), Cluster 2 (industrial clusters and regional clusters), and Cluster 3 (innovative milieus, regional innovation systems, innovation networks and learning regions). The meta-synthesis analysis used for exploring the content of these models identified three main themes, each with several sub-themes, as well as distinct features of the regions implementing them. Based on these distinctions, a typology of regions was derived, distinguishing between Early Innovators, Transitional Innovators and Advanced Innovators, which can serve as a useful instrument for academic researchers, policy-makers and practitioners involved in regional innovation.

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