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Unravelling Knowledge Networks of Urban High-Technology Firms: An Artificial Intelligence Approach

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Geenhuizen, Marina van (2006) Unravelling Knowledge Networks of Urban High-Technology Firms: An Artificial Intelligence Approach. In: The 14th Annual High Technology Small Firms Conference : May 11-13, 2006 + May 10, 2006 Doctoral Workshop, University of Twente, Enschede, The Netherlands., 10 May 2006 - 13 May 2006, Enschede, The Netherlands .

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Event: The 14th Annual High Technology Small Firms Conference : May 11-13, 2006 + May 10, 2006 Doctoral Workshop, University of Twente, Enschede, The Netherlands., 10 May 2006 - 13 May 2006, Enschede, The Netherlands
Abstract:In urban innovation studies, much attention has been paid to benefits from local knowledge exchange for small high-technology companies. Much less attention has been given to the global pattern of knowledge networks. In this paper, we explore the spatial pattern of knowledge networks of young, innovative companies in urban areas in the Netherlands empirically, against the background of the debate about the role of spatial proximity in facilitating local knowledge exchange and learning processes. In this debate, the idea is challenged that tacit knowledge is confined to local places in providing unique advantages of knowledge spillovers to locally embedded companies. First, on the basis of conceptual notions from resource dependence theory and by using rough set analysis as a relatively new modelling approach derived from the field of artificial intelligence, we identify the factors that determine the spatial patterns of knowledge networks. Secondly, by taking the largest biotechnology cluster in the Netherlands as an example we examine to what extent companies in a clustered location employ regional and global networks and enjoy local knowledge spillovers among other agglomeration advantages.
Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Innovative companies, urban agglomeration advantages, knowledge networks, rough set analysis, biotechnology, the Netherlands
Link to this item:http://purl.utwente.nl/proceedings/129
Organisation URL:http://www.utwente.nl/bms/nikos/
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