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Developing an Object Oriented Model of Critical Success Factors for Clusters: The Linkˆping Information and Communication Technologies Cluster Test-Case

  • Sam Tavassoli

    ()

  • Dimitrios Tsagdis

An object oriented model (OOM) of critical success factors (CSFs) for clusters is developed on the basis of an extensive and critical review of the literature. The model is tested, as a proof of concept, in the Linköping information and communication technologies (ICT) cluster, Sweden. The model is flexible, scalable, and open-ended, applying equally to particular clusters as well as to clusters in general. The model aims to act both as a diagnostic tool for CSFs in particular clusters as well as a framework for policy and research in general. The model encompasses some 21 CSFs (e.g. trust, vision, knowledge) that belong or depend on one or more objects (e.g. firms, institutions, entrepreneurs) relevant to a cluster. A Venn diagram is initially developed on the basis of the literature to help delineate the relevant objects and is subsequently translated into the aforementioned model. The testing of the model follows a cluster life-cycle approach and ranks the 21 CSFs in terms of their relevance during different stages in the life-cycle of the Linköping ICT cluster. It is argued that the importance of different CSFs varies throughout a cluster’s life-cycle concluding with some relevant policy implications and areas of further research.

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa10p642.

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Date of creation: Sep 2011
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Handle: RePEc:wiw:wiwrsa:ersa10p642
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  1. Ron Martin & Peter Sunley, 2006. "Path dependence and regional economic evolution," Journal of Economic Geography, Oxford University Press, vol. 6(4), pages 395-437, August.
  2. Simona Iammarino & Philip McCann, 2006. "The Structure and Evolution of Industrial Clusters: Transactions, Technology and Knowledge Spillovers," SPRU Working Paper Series 138, SPRU - Science and Technology Policy Research, University of Sussex.
  3. Marshall, Alfred, 1890. "The Principles of Economics," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number marshall1890.
  4. Per Lundequist & Dominic Power, 2002. "Putting Porter into Practice? Practices of Regional Cluster Building: Evidence from Sweden," European Planning Studies, Taylor & Francis Journals, vol. 10(6), pages 685-704, September.
  5. Hospers, Gert-Jan & Beugelsdijk, Sjoerd, 2002. "Regional Cluster Policies: Learning by Comparing?," Kyklos, Wiley Blackwell, vol. 55(3), pages 381-402.
  6. Caron H. John & Richard W. Pouder, 2006. "Technology Clusters versus Industry Clusters: Resources, Networks, and Regional Advantages," Growth and Change, Wiley Blackwell, vol. 37(2), pages 141-171.
  7. Morosini, Piero, 2004. "Industrial Clusters, Knowledge Integration and Performance," World Development, Elsevier, vol. 32(2), pages 305-326, February.
  8. Thierry Weil, 2009. "Silicon Valley Stories," Post-Print hal-00488200, HAL.
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