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

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  • Calvin Weng

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  • Tugrul Daim

    ()

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    Abstract

    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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    Bibliographic Info

    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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    Web page: http://www.springer.com/economics/journal/13132

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    Related research

    Keywords: Core/periphery structure; Network analysis; Exploitation; Exploration;

    References

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    1. DUGUET Emmanuel & MacGARVIE Megan, 2004. "How Well Do Patent Citations Measure Flows of Technology? Evidence from French Innovation Surveys," Development and Comp Systems 0411018, EconWPA.
    2. 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.
    3. Zvi Griliches, 1991. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
    4. repec:fth:harver:1473 is not listed on IDEAS
    5. Verspagen,Bart, 2005. "Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research," Research Memorandum 019, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    6. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
    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. Roberto Fontana & Alessandro Nuvolari & Bart Verspagen, 2009. "Mapping technological trajectories as patent citation networks. An application to data communication standards," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(4), pages 311-336.
    9. Wim Vanhaverbeke & Victor Gilsing & Bonnie Beerkens & Geert Duysters, 2009. "The Role of Alliance Network Redundancy in the Creation of Core and Non-core Technologies," Journal of Management Studies, Wiley Blackwell, vol. 46(2), pages 215-244, 03.
    10. 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.
    11. Castiglionesi, F. & Navarro, N., 2007. "Optimal Fragile Financial Networks," Discussion Paper 2007-100, Tilburg University, Center for Economic Research.
    12. 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.
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