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

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  • Reza Naghizadeh
  • Shaban Elahi
  • Manoochehr Manteghi
  • Sepehr Ghazinoory
  • Marina Ranga

Abstract

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. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:6:p:2481-2505
    DOI: 10.1007/s11135-014-0123-7
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