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Knowledge Spillovers Informed by Network Theory and Social Network Analysis

  • Maryann P. FeldmanEmail author
  • Scott W. Langford
Living reference work entry

Abstract

Researchers have applied network theory, and social network analysis methods to address questions developed within the field of knowledge spillovers. This research has the potential to illuminate the channels and mechanisms related to knowledge flows, especially as they relate to geography and the geographic concentration of innovation. This chapter has three objectives. First, to review prior findings within the field of knowledge spillovers, with a focus on existing findings that could be informed by network theory and social network analysis. Second, to review studies that have applied network theory and social network analysis methods to knowledge spillovers, and related fields. Finally, to suggest future research directions within the field of knowledge spillovers that can be informed by network theory and social network analysis methods.

Keywords

Network theory Knowledge spillovers Social network analysis 

References

  1. Adams J (2002) Comparative localization of academic and industrial spillovers. J Econ Geogr 2(3):253–278CrossRefGoogle Scholar
  2. Agrawal AK, Cockburn IM, McHale J (2006) Gone but not forgotten: knowledge flows, labor mobility, and enduring social relationships. J Econ Geogr 6(5):571–591CrossRefGoogle Scholar
  3. Ahuja G (2000) Collaboration networks, structural holes, and innovation: a longitudenal study. Adm Sci Q 45(3):425–455CrossRefGoogle Scholar
  4. Alcácer J, Gittelman M (2006) Patent citations as a measure of knowledge flows: the influence of examiner citations. Rev Econ Stat 88(4):774–779CrossRefGoogle Scholar
  5. Barabasi A-L, Bonabeau E (2003) Scale-free networks. Sci Am 288:50–59CrossRefGoogle Scholar
  6. Branstetter L (2006) Is foreign direct investment a channel of knowledge spillovers? Evidence from Japan’s FDI in the United States. J Int Econ 68(2):325–344CrossRefGoogle Scholar
  7. Breschi S, Lissoni F (2009) Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows. J Econ Geogr 9(4):439–468CrossRefGoogle Scholar
  8. Choe H, Lee DH, Seo IW, Kim HD (2013) Patent citation network analysis for the domain of organic photovoltaic cells: country, institution, and technology field. Renew Sust Energ Rev 26:492–505CrossRefGoogle Scholar
  9. Coe DT, Helpman E (1995) International R&D Spillovers. Eur Econ Rev 39(5):859–887CrossRefGoogle Scholar
  10. Dahl M, Pedersen C (2004) Knowledge flows through informal contacts in industrial clusters: myth or reality? Res Policy 33(10):1673–1686CrossRefGoogle Scholar
  11. Dyer JH, Nobeoka K (2000) Creating and managing a high performance knowledge-sharing network: the Toyota case. Strateg Manag J 21(3):345–367CrossRefGoogle Scholar
  12. Feldman MP (1994) The geography of innovation. Kluwer Academic, BostonCrossRefGoogle Scholar
  13. Feldman MP (1999) The new economics of innovation, spillovers and agglomeration: a review of empirical studies. Econ Innov New Technol 8(1–2):5–25CrossRefGoogle Scholar
  14. Feldman MP, Kogler DF (2010) Stylized facts in the geography of innovation. In: Hall BH, Rosenberg N (eds) Handbook of the economics of innovation. Elsevier, New York, pp 381–410CrossRefGoogle Scholar
  15. Filatotchev I, Liu X, Lu J, Wright M (2011) Knowledge spillovers through human mobility across national borders: evidence from Zhongguancun Science Park in China. Res Policy 40(3):453–462CrossRefGoogle Scholar
  16. Fritsch M, Kauffeld-Monz M (2010) The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks. Ann Reg Sci 44:21–38CrossRefGoogle Scholar
  17. Griliches Z (1992) The search for R&D spillovers. Scand J Econ 94(Supplement):29–47CrossRefGoogle Scholar
  18. Hidalgo CA, Balland P, Boschma R, Delgado M, Feldman M, Frenken K, Glaeser E, He C, Kogler DF, Morrison A, Neffke F, Rigby D, Stern S, Zheng S, Zhu S (2018) The principle of relatedness. In: Morales AJ, Gershenson C, Braha D, Minai AA, Bar-Yam Y (eds) Unifying themes in complex systems IX. Springer, New York, pp 451–457CrossRefGoogle Scholar
  19. Hidalgo CA, Klinger B, Barabási AL, Hausmann R (2007) The product space conditions the development of nations. Science 317(5837):482–487CrossRefGoogle Scholar
  20. Jaffe A, Trajtenberg M, Henderson R (1993) Geographic localization of knowledge spillovers as evidenced by patent citations. Q J Econ 108(3):577–598CrossRefGoogle Scholar
  21. Keller W (1998) Are international R&D spillovers trade-related? Analyzing spillovers among randomly matched trade partners. Eur Econ Rev 42(8):1469–1481CrossRefGoogle Scholar
  22. Liu X, Lu J, Filatotchev I, Buck T, Wright M (2010) Returnee entrepreneurs, knowledge spillovers and innovation in high-tech firms in emerging economies. J Int Bus Stud 41(7):1183–1197CrossRefGoogle Scholar
  23. Owen-Smith J, Powell WW (2004) Knowledge networks as channels and conduits: the effects of spillovers in the Boston biotechnology community. Organ Sci 15(1):5–21CrossRefGoogle Scholar
  24. Phene A, Tallman S (2014) Knowledge spillovers and alliance formation. J Manag Stud 51(7):1058–1090Google Scholar
  25. Rigby DL (2015) Technological relatedness and knowledge space: entry and exit of US cities from patent classes. Reg Stud 49(11):1922–1937CrossRefGoogle Scholar
  26. Scott J, Carrington PJ (eds) (2011) The SAGE handbook of social network analysis. SAGE Publications, LondonGoogle Scholar
  27. Shih H-Y, Chang T-LS (2009) International diffusion of embodied and disembodied technology: a network analysis approach. Technol Forecast Soc Chang 76(6):1–45CrossRefGoogle Scholar
  28. Thompson P, Fox-Kean M (2005) Patent citations and the geography of knowledge spillovers: a reassessment. Am Econ Rev 95(1):450–460CrossRefGoogle Scholar
  29. Wang C-C, Sung H-Y, Chen D-Z, Huang M-H (2017) Strong ties and weak ties of the knowledge spillover network in the semiconductor industry. Technol Forecast Soc Chang 118:114–127CrossRefGoogle Scholar
  30. Wasserman S, Faust K (1994) Centrality and prestige. In: Social network analysis: methods and applications. Cambridge University Press, Cambridge, UK, pp 169–219CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Public PolicyUniversity of North Carolina at Chapel HillChapel HillUSA

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