• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

Why Are Good Comparative Studies of Networks so Rare? Practical Lessons from a Study of French Clusters

Thumbnail
View/Open
why_are_good.PDF (1.381Mb)
Date
2010
Dewey
Economie industrielle
Sujet
innovation policy; context; network performance; networks; clusters
JEL code
O38; O25
Conference name
26th EGOS Colloquium
Conference date
07-2010
Conference city
Lisbonne
Conference country
Portugal
URI
https://basepub.dauphine.fr/handle/123456789/5774
Collections
  • IMRI : Publications
Metadata
Show full item record
Author
Weil, Thierry
Glaser, Anna
Gallié, Emilie-Pauline
Mérindol, Valérie
Lefebvre, Philippe
Pallez, Frédérique
Type
Communication / Conférence
Item number of pages
29
Abstract (EN)
French “competitiveness clusters” were set up in 2005 to strengthen cooperation between small and large enterprises, and training and research institutions working on similar topics and located in the same geographical area, with the aim of making this area more competitive and attractive through enhanced innovation. Our analysis of this set of 71 apparently similar networks has given us an opportunity to investigate the factors explaining the differences in their performance. In attempting this analysis, we encounter several difficulties, such as, how can we: (1) measure a cluster’s performance? (2) characterize its context and resources? (3) characterize the governance of the network and the actions it takes? (4) deal with the fact that the network’s boundaries evolve due to both the fluctuating commitment of some stakeholders and the implementation of the cluster’s strategy, which changes the context and the available resources? (5) deal with actors’ learning at all levels (i.e., the cluster’s members, organization, rulers and fund providers), which changes the rules of the game while the game is still being played? Last but not least, the networks that we have taken to be homologous because they have been selected, labelled and regulated by the same rules, actually display significant qualitative differences. There may be different kinds of clusters following substantially different performance models. We could then define a cluster typology so that comparisons would be much more relevant between clusters of the same class. This could eventually lead us to create performance indicators adapted to the specificities of each class of clusters and improve the monitoring of individual clusters and of the national cluster policy.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.