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The Role of Domestic and International External Cluster Linkages Explored on the Example of Buyer--Supplier Relations in Learning Regions: A Cross-Functional Assessment

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  • Holger Schiele
  • Alexander Ebner

Abstract

This paper analyses three levels of interaction among firms: regional, domestic and international, the analysis relying on cross-functional supplier evaluations by their customers. The statistical analysis reveals that indeed three groups with different evaluation results can be distinguished. Contrary to expectations, though, regional suppliers were not better evaluated than domestic suppliers, while international suppliers scored weakest. Cross-functional differences in assessment were found, which urges researchers to collect cross-functional data for cluster assessment. We conclude that external linkages play an important role in understanding clusters and that the domestic level has to be taken into consideration of an analytical entity of its own.

Suggested Citation

  • Holger Schiele & Alexander Ebner, 2013. "The Role of Domestic and International External Cluster Linkages Explored on the Example of Buyer--Supplier Relations in Learning Regions: A Cross-Functional Assessment," European Planning Studies, Taylor & Francis Journals, vol. 21(5), pages 683-699, May.
  • Handle: RePEc:taf:eurpls:v:21:y:2013:i:5:p:683-699
    DOI: 10.1080/09654313.2013.734458
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    References listed on IDEAS

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    1. Patel, Pari & Vega, Modesto, 1999. "Patterns of internationalisation of corporate technology: location vs. home country advantages1," Research Policy, Elsevier, vol. 28(2-3), pages 145-155, March.
    2. Roel Rutten & Frans Boekema, 2007. "The Learning Region: Foundations, State of the Art, Future," Chapters, in: Roel Rutten & Frans Boekema (ed.), The Learning Region, chapter 1, Edward Elgar Publishing.
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    Cited by:

    1. Mingrui He & Min Mei & Handan Zhang, 2024. "Evolutionary Stages and Paths of Innovation Networks in Industrial Clusters: Case Study of Nanchong Silk-Spinning Garment Industry Cluster (SSGIC)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1703-1735, March.
    2. Chi-Han Ai & Hung-Che Wu, 2017. "Cross-Regional Corporations and Learning Effects in a Local Telecommunications Industry Cluster of China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 337-355, March.
    3. Julia Hoffmann & Stefan Hirsch & Johannes Simons, 2017. "Identification of spatial agglomerations in the German food processing industry," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 139-162, March.

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