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Network structure and robustness: lessons for research programme design

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  • Nicholas S. Vonortas
  • Koichiro Okamura

Abstract

The information and communication technology (ICT) network of the last two European Research Framework Programmes (FPs) is deeply influenced by two distinct groups of organizations: a small group of hubs (3% of the participants) hold the key to keeping the network together and a second group of non-hub connectors large enough (39% of the participants) with a significant share of the overall networking activity provide a robust base for the network. The ICT network can survive the removal of single important funding instruments such as integrated projects or specific targeted research projects. Increasing policy rhetoric on innovative application in the new FP (Horizon 2020) should be reflected in a shift of core participants from largely public research and teaching organizations to private-sector companies.

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  • Nicholas S. Vonortas & Koichiro Okamura, 2013. "Network structure and robustness: lessons for research programme design," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(4), pages 392-411, June.
    • Handle: RePEc:taf:ecinnt:v:22:y:2013:i:4:p:392-411
    DOI: 10.1080/10438599.2012.757897
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    1. Nooteboom, B. & Gilsing, V.A., 2004. "Density And Strength Of Ties In Innovation Networks: A Competence And Governance View," ERIM Report Series Research in Management ERS-2004-005-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Cowan, R. & Jonard, N., 2003. "The dynamics of collective invention," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 513-532, December.
    3. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    4. Riccaboni, Massimo & Pammolli, Fabio, 2002. "On firm growth in networks," Research Policy, Elsevier, vol. 31(8-9), pages 1405-1416, December.
    5. Gilsing, V.A. & Lemmens, C. & Duijsters, G.M., 2007. "Strategic alliance networks and innovation : A deterministic and voluntaristic view combined," Other publications TiSEM deaff6db-3e18-4bfc-a3fa-7, Tilburg University, School of Economics and Management.
    6. Gilsing, V. & Nooteboom, B., 2004. "Density and strength of ties in innovation networks: an analysis of multimedia and biotechnology," Working Papers 04.16, Eindhoven Center for Innovation Studies.
    7. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    8. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    9. Roger Guimerà & Luís A. Nunes Amaral, 2005. "Functional cartography of complex metabolic networks," Nature, Nature, vol. 433(7028), pages 895-900, February.
    10. Garlaschelli, Diego & Battiston, Stefano & Castri, Maurizio & Servedio, Vito D.P. & Caldarelli, Guido, 2005. "The scale-free topology of market investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 491-499.
    11. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    12. Ann Echols & Wenpin Tsai, 2005. "Niche and performance: the moderating role of network embeddedness," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 219-238, March.
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