Networks as Emergent Structures from Bilateral Collaboration

Cowan, Robin, Jonard, Nicolas and Zimmermann, Jean-Benoit (2004). Networks as Emergent Structures from Bilateral Collaboration. UNU-MERIT Research Memoranda. UNU-MERIT.

Document type:
Report

Metadata
Documents
Versions
Statistics
  • Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials)
    Name Description MIMEType Size Downloads
    rm2004-017.pdf PDF application/pdf 645.73KB
  • Sub-type Working paper
    Author Cowan, Robin
    Jonard, Nicolas
    Zimmermann, Jean-Benoit
    Title Networks as Emergent Structures from Bilateral Collaboration
    Series Title UNU-MERIT Research Memoranda
    Volume/Issue No. 17
    Publication Date 2004
    Publisher UNU-MERIT
    Language eng
    Abstract In this paper we model the formation of innovation networks as they emerge from bilateral actions. The effectiveness of a bilateral collaboration is determined by cognitive, relational and structural embeddedness. Innovation results from the recombination of knowledge held by the partners to the collaboration, and the extent to which agents' knowledge complement each others is an issue of cognitive embeddedness. Previous collaborations (relational embeddedness) increase the probability of a successful collaboration; as does information gained from common third parties (structural embeddedness). As a result of repeated alliance formation, a network emerges whose properties are studied, together with those of the process of knowledge creation. Two features are central to the innovation process: how agents pool their knowledge resources; and how agents derive information about potential partners. We focus on the interplay between these two dimensions, and find that they both matter. The networks that emerge are not random, but in certain parts of the parameter space have properties of small worlds.
    Keyword Networks
    Innovation
    Network formation
    Knowledge
    JEL L14
    Z13
    O3
    Copyright Year 2004
    Copyright type All rights reserved
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 784 Abstract Views, 208 File Downloads  -  Detailed Statistics
    Created: Fri, 13 Dec 2013, 12:40:07 JST