Abstract
The final goal of academics often appears to be to have at their disposal a methodology, but this was not the scope of the CODESNET project. To develop the performance evaluation methodology – presented in Chap. 4 – has only been a preliminary step. The real goal of the project was to define and implement a simple but untraditional website with the direct involvement of the two potential end users: (1) people involved with academia, to organize the website structure such as to allow simple comparisons among catalogued SME networks, and an easy search for reports which could help to understand the networks main features and (2) people involved with industry, to define both the information on SME networks to be catalogued, and the most interesting topics for selecting the reports to be included in the website. The two complementary actions of these groups of project partners gave rise to the website presented in this final chapter.
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References
Amin A (1991) These are not marshallian times. In: Innovation networks and spatial perspectives. Bellhaven, London, pp. 105–117
Gifi A (1981) Nonlinear multivariate analysis. Leiden University, Department of Data Theory, Leiden
Gifi A (1985) PRINCALS. Internal Report UG-85–02, Leiden University, Department of Data Theory, Leiden
Jolliffe I (2004) Principal Component Analysis. Springer, Berlin Heidelberg New York
Lipparini A, Lorenzoni G (1996) Le organizzazioni ad alta intensità relazionale. Riflessioni sui processi di learning by interacting nelle aree ad alta concentrazione di imprese. “L’Industria”, a. XVII(4):817–839
Maillat D, Quevit M, Senn L (1993) Reseaux d’innovation et mileux innovateurs: un pari pour le dévelopment régional, 1, Neuchatel
Meulman J, Van der Kooij A, Heiser W (2004) Principal Component analysis with nonlinear optimal scaling transformation for ordinal and nominal data. In: Kaplan D (ed) Handbook for quantitative methods in the social sciences. SAGE, Newbury Park, CA
Ratti R, Bramanti A, Gordon R (1997) The dynamic of innovative regions: the Gremi approach. Avebury, Aldershot
Wikipedia: The Free Encyclopedia (2008). http://en.wikipedia.org/wiki/Graph_theory. Accessed 2008
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Taurino, T., Caroleo, B., Antonelli, D. (2009). The CODESNET Website: a Portal Supporting SME Network Innovation. In: Villa, A., Antonelli, D. (eds) A Road Map to the Development of European SME Networks. Springer, London. https://doi.org/10.1007/978-1-84800-342-2_5
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DOI: https://doi.org/10.1007/978-1-84800-342-2_5
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