The Structure of Cluster Knowledge Networks Uneven, not Pervasive and Collective
Elisa Giuliani ()
No 05-11, DRUID Working Papers from DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies
This study focuses on the relationship between industrial clustering and innovation. It contributes to this literature by showing two empirical properties of the cluster learning process: first, that the structure of the knowledge network in a cluster is related with the heterogeneous distribution of firm knowledge bases and, second, that business interactions and inter-firm knowledge flows are not highly co-occurring phenomena. In particular, this paper highlights how the heterogeneity of firms’ knowledge bases generates uneven distribution of knowledge and selective inter-firm learning. This study has been based on empirical evidence collected at firm level in three wine clusters in Italy and Chile. Methods of social network analysis have been applied to process the data.
Keywords: Industrial clusters; knowledge flows; business interactions; networks. (search for similar items in EconPapers)
JEL-codes: O18 O30 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ino, nep-net, nep-soc, nep-tid and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:aal:abbswp:05-11
Access Statistics for this paper
More papers in DRUID Working Papers from DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies
Bibliographic data for series maintained by Keld Laursen ().