Knowledge dynamics in a network industry

Robin Cowan, Nicolas Jonard and Muge Ozman ()
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Nicolas Jonard: CREA - Centre de recherche en épistémologie appliquée - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique
Muge Ozman: MERIT - Maastricht University [Maastricht]

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Abstract: In this paper, we model the impact of networks on knowledge growth in an innovating industry. Specifically, we compare two mediums of knowledge exchange: random interaction, and the case in which interaction occurs on a fixed architecture. In a simulation study, we investigate how the medium of knowledge exchange contributes to knowledge growth under different scenarios related to the industry's innovative potential. We measure innovative potential by considering the extent to which knowledge can be codified, and the available technological opportunities. Our results tend to support the conjecture that spatial clustering generates higher long-run knowledge growth rates in industries characterized by highly tacit knowledge, while the opposite is true when the degree of codification is important.

Keywords: Innovation; Knowledge; Clustering; Network; Network industry (search for similar items in EconPapers)
Date: 2004-06
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Citations: View citations in EconPapers (22)

Published in Technological Forecasting and Social Change, 2004, 71 (5), pp.469-484. ⟨10.1016/S0040-1625(03)00045-3⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00278690

DOI: 10.1016/S0040-1625(03)00045-3

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