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Structural Differentiation and Its Implications—Core/Periphery Structure of the Technological Network

  • Calvin Weng

    ()

  • Tugrul Daim

    ()

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    By applying a network analytical approach, this paper examines the position of technological network in shaping the contribution of a technology in technological development. Between the core and the periphery of the technological network structure, we argue that technologies which occupy a core position of network are in propensity for exploitation in succeeding or derivative technologies. On the contrary, technologies located in periphery position of network are likely to lead to seminal technologies. We empirically test the patent data of insurance business methods and discuss the technological implications of the results. Copyright Springer Science + Business Media, LLC 2012

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    File URL: http://hdl.handle.net/10.1007/s13132-011-0048-5
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    Article provided by Springer in its journal Journal of the Knowledge Economy.

    Volume (Year): 3 (2012)
    Issue (Month): 4 (December)
    Pages: 327-342

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    Handle: RePEc:spr:jknowl:v:3:y:2012:i:4:p:327-342
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    1. Peter Thompson, 2006. "Patent Citations and the Geography of Knowledge Spillovers: Evidence from Inventor- and Examiner-added Citations," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 383-388, May.
    2. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    3. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
    4. Roberto Fontana & Alessandro Nuvolari & Bart Verspagen, 2008. "Mapping Technological Trajectories as Patent Citation Networks. An application to Data Communication Standards," SPRU Working Paper Series 166, SPRU - Science and Technology Policy Research, University of Sussex.
    5. Uwe Cantner & Holger Graf, 2004. "The Network of Innovators in Jena: An Application of Social Network Analysis," Jenaer Schriften zur Wirtschaftswissenschaft 04/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
    6. Mina, A. & Ramlogan, R. & Tampubolon, G. & Metcalfe, J.S., 2007. "Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge," Research Policy, Elsevier, vol. 36(5), pages 789-806, June.
    7. von Wartburg, Iwan & Teichert, Thorsten & Rost, Katja, 2005. "Inventive progress measured by multi-stage patent citation analysis," Research Policy, Elsevier, vol. 34(10), pages 1591-1607, December.
    8. Rank, Charlotte & Rank, Olaf & Wald, Andreas, 2006. "Integrated Versus Core-Periphery Structures in Regional Biotechnology Networks," European Management Journal, Elsevier, vol. 24(1), pages 73-85, February.
    9. repec:fth:harver:1473 is not listed on IDEAS
    10. Vanhaverbeke, W.P.M. & Gilsing, V.A. & Beerkens, B.E. & Duijsters, G.M., 2009. "The role of alliance network redundancy in the creation of core and non-core technologies," Other publications TiSEM 7050ddec-659b-40f2-aca6-a, Tilburg University, School of Economics and Management.
    11. Emmanuel Duguet & Megan MacGarvie, 2005. "How well do patent citations measure flows of technology? Evidence from French innovation surveys," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 375-393.
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