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Science, social networks and spillovers

Author

Listed:
  • O. Sorenson
  • J. Singh
  • L. Fleming

Abstract

Previous empirical research has established that science appears to stimulate the widespread diffusion of knowledge. The exact mechanism through which science catalyzes knowledge flow, however, remains somewhat ambiguous. This paper investigates whether the observed knowledge diffusion associated with science-based innovation genuinely stems from the norm of openness and incentives for publication, or whether it arises as an artifact of scientists having more dispersed social networks that facilitate the dissemination of tacit knowledge. Our findings support the former possibility: We use patent citation patterns to track knowledge flows, and find that science-based innovations diffuse more widely even after controlling for the underlying social networks of researchers as measured using data on prior collaborations.

Suggested Citation

  • O. Sorenson & J. Singh & L. Fleming, 2005. "Science, social networks and spillovers," Papers on Economics and Evolution 2005-12, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:esi:evopap:2005-12
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    Cited by:

    1. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    2. Singh, Jasjit, 2008. "Distributed R&D, cross-regional knowledge integration and quality of innovative output," Research Policy, Elsevier, vol. 37(1), pages 77-96, February.
    3. Francesco Quatraro & Stefano Usai, 2017. "Are knowledge flows all alike? Evidence from European regions," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1246-1258, August.
    4. Ronald J. Mann & Marian Underweiser, 2012. "A New Look at Patent Quality: Relating Patent Prosecution to Validity," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(1), pages 1-32, March.
    5. Emilio Bellini & Giuseppe Piroli & Luca Pennacchio, 2019. "Collaborative know-how and trust in university–industry collaborations: empirical evidence from ICT firms," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1939-1963, December.
    6. Ding, Waverly, 2010. "The Impact of Founder Professional Education Background on the Adoption of Open Science by For-Profit Biotechnology Firms," Institute for Research on Labor and Employment, Working Paper Series qt9728v4sv, Institute of Industrial Relations, UC Berkeley.
    7. Friedrich Dornbusch & Thomas Brenner, 2013. "Universities as local knowledge hubs under different technology regimes – New evidence from academic patenting," Working Papers on Innovation and Space 2013-10, Philipps University Marburg, Department of Geography.
    8. Waverly W. Ding, 2011. "The Impact of Founders' Professional-Education Background on the Adoption of Open Science by For-Profit Biotechnology Firms," Management Science, INFORMS, vol. 57(2), pages 257-273, February.
    9. Benson, Christopher L. & Magee, Christopher L., 2014. "On improvement rates for renewable energy technologies: Solar PV, wind turbines, capacitors, and batteries," Renewable Energy, Elsevier, vol. 68(C), pages 745-751.
    10. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    11. Reitzig, Markus & Henkel, Joachim & Heath, Christopher, 2007. "On sharks, trolls, and their patent prey--Unrealistic damage awards and firms' strategies of "being infringed"," Research Policy, Elsevier, vol. 36(1), pages 134-154, February.
    12. Dornbusch, Friedrich & Brenner, Thomas, 2013. "Universities as local knowledge hubs under different technology regimes: New evidence from academic patenting," Working Papers "Firms and Region" R6/2013, Fraunhofer Institute for Systems and Innovation Research (ISI).
    13. Uwe Cantner & Andreas Meder, 2007. "Technological proximity and the choice of cooperation partner," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(1), pages 45-65, June.
    14. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2018. "Who benefits from a country’s scientific research?," Journal of Informetrics, Elsevier, vol. 12(1), pages 249-258.
    15. Tom Broekel & Ron Boschma, 2012. "Knowledge networks in the Dutch aviation industry: the proximity paradox," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 409-433, March.

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