IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2009-23.html
   My bibliography  Save this paper

Network-independent partner selection and the evolution of innovation networks

Author

Listed:
  • Joel BAUM
  • Robin COWAN
  • Nicolas JONARD

Abstract

Empirical research on strategic alliances has focused on the idea that alliance partners are selected on the basis of social capital considerations. In this paper we emphasize instead the role of complementary knowledge stocks (broadly defined) in partner selection, arguing not only that knowledge complementarity should not be overlooked, but that it may be the true causal force behind alliance formation. To marshal evidence on this point, we design a simple model of partner selection in which firms ally for the purpose of learning and innovating, and in doing so create an industry network. We abstract completely from network-based structural and strategic motives for partner selection and focus instead on the idea that firms’ knowledge bases must “fit” in order for joint leaning and innovation to be possible, and thus for an alliance to be feasible. The striking result is that while containing no social capital considerations, this simple model replicates the firm conduct, network structure, and contingent effects of network position on performance observed and discussed in the empirical literature.

Suggested Citation

  • Joel BAUM & Robin COWAN & Nicolas JONARD, 2009. "Network-independent partner selection and the evolution of innovation networks," Working Papers of BETA 2009-23, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2009-23
    as

    Download full text from publisher

    File URL: http://www.beta-umr7522.fr/productions/publications/2009/2009-23.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D tax incentives in small and large enterprises in Québec," Small Business Economics, Springer, vol. 33(1), pages 91-107, June.
    2. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters,in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87 World Scientific Publishing Co. Pte. Ltd..
    3. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    4. John Cantwell & Massimo Colombo, 2000. "Technological and Output Complementarities, and Inter-Firm Cooperation in Information Technology Ventures," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 4(1), pages 117-147, March.
    5. Goyal, Sanjeev & Joshi, Sumit, 2003. "Networks of collaboration in oligopoly," Games and Economic Behavior, Elsevier, vol. 43(1), pages 57-85, April.
    6. Tiziana Casciaro, 2003. "Determinants of governance structure in alliances: the role of strategic, task and partner uncertainties," Industrial and Corporate Change, Oxford University Press, vol. 12(6), pages 1223-1251, December.
    7. Orsenigo, L. & Pammolli, F. & Riccaboni, Massimo, 2001. "Technological change and network dynamics: Lessons from the pharmaceutical industry," Research Policy, Elsevier, vol. 30(3), pages 485-508, March.
    8. Robin Cowan & Nicolas Jonard, 2008. "If the Alliance Fits . . . : Innovation and Network Dynamics," Working Papers of BETA 2008-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Oxley, Joanne E, 1997. "Appropriability Hazards and Governance in Strategic Alliances: A Transaction Cost Approach," Journal of Law, Economics, and Organization, Oxford University Press, vol. 13(2), pages 387-409, October.
    10. Mowery, David C. & Oxley, Joanne E. & Silverman, Brian S., 1998. "Technological overlap and interfirm cooperation: implications for the resource-based view of the firm," Research Policy, Elsevier, vol. 27(5), pages 507-523, September.
    11. Holme, Petter & Min Park, Sung & Kim, Beom Jun & Edling, Christofer R., 2007. "Korean university life in a network perspective: Dynamics of a large affiliation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 821-830.
    12. Sanjeev Goyal & Sumit Joshi, 2006. "Unequal connections," International Journal of Game Theory, Springer;Game Theory Society, vol. 34(3), pages 319-349, October.
    13. Abernathy, William J. & Clark, Kim B., 1985. "Innovation: Mapping the winds of creative destruction," Research Policy, Elsevier, vol. 14(1), pages 3-22, February.
    14. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    15. Arora, Ashish & Gambardella, Alfonso, 1990. "Complementarity and External Linkages: The Strategies of the Large Firms in Biotechnology," Journal of Industrial Economics, Wiley Blackwell, vol. 38(4), pages 361-379, June.
    16. Joel A. C. Baum & Andrew V. Shipilov & Tim J. Rowley, 2003. "Where do small worlds come from?," Industrial and Corporate Change, Oxford University Press, vol. 12(4), pages 697-725, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Kalthaus, 2016. "Knowledge recombination along the technology life cycle," Jena Economic Research Papers 2016-012, Friedrich-Schiller-University Jena.
    2. Baum, Joel A.C. & Cowan, Robin & Jonard, Nicolas, 2012. "Prescriptions for network strategy: Does evidence of network effects in cross-section support them?," MERIT Working Papers 044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Gao, Bo & Ren, Ruo-en, 2013. "The topology of a causal network for the Chinese financial system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2965-2976.
    4. Dawid, Herbert & Hellmann, Tim, 2014. "The evolution of R&D networks," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 158-172.
    5. repec:spr:busres:v:10:y:2017:i:1:d:10.1007_s40685-016-0042-7 is not listed on IDEAS
    6. Tom Broekel & Matthias Brachert, 2015. "The structure and evolution of inter-sectoral technological complementarity in R&D in Germany from 1990 to 2011," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 755-785, September.
    7. Lorenzo Cassi & Lorenzo Zirulia, 2012. "Friends and Rivals: Modelling the Social Relations of Inventors," Working Paper series 39_12, Rimini Centre for Economic Analysis.
    8. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    9. Abiodun Egbetokun & Ivan Savin, 2014. "Absorptive capacity and innovation: when is it better to cooperate?," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 399-420, April.
    10. Kalm, Matias, 2012. "The Impact of Networking on Firm Performance - Evidence from Small and Medium-Sized Firms in Emerging Technology Areas," Discussion Papers 1278, The Research Institute of the Finnish Economy.
    11. repec:eee:tefoso:v:120:y:2017:i:c:p:298-310 is not listed on IDEAS
    12. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu, 2012. "Network formation with local complements and global substitutes: the case of R&D networks," ECON - Working Papers 217, Department of Economics - University of Zurich, revised Feb 2017.
    13. Robertson, Paul L. & Casali, G.L. & Jacobson, David, 2012. "Managing open incremental process innovation: Absorptive Capacity and distributed learning," Research Policy, Elsevier, vol. 41(5), pages 822-832.
    14. Francesca Pallotti & Alessandro Lomi & Daniele Mascia, 2013. "From network ties to network structures: Exponential Random Graph Models of interorganizational relations," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1665-1685, April.
    15. repec:eee:touman:v:48:y:2015:i:c:p:354-361 is not listed on IDEAS
    16. repec:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2320-3 is not listed on IDEAS
    17. Ying-Yu Chen & Yi-Long Jaw, 2014. "How do business groups’ small world networks effect diversification, innovation, and internationalization?," Asia Pacific Journal of Management, Springer, vol. 31(4), pages 1019-1044, December.
    18. Anjos, Fernando, 2016. "Resource configuration, inter-firm networks, and organizational performance," Mathematical Social Sciences, Elsevier, vol. 82(C), pages 37-48.
    19. repec:eee:tefoso:v:120:y:2017:i:c:p:311-322 is not listed on IDEAS
    20. Julie Le Gallo & Anne Plunket, 2016. "Technological gatekeepers, regional inventor networks and inventive performance," Working Papers hal-01422916, HAL.
    21. Castro, Ignacio & Casanueva, Cristóbal & Galán, José Luis, 2014. "Dynamic evolution of alliance portfolios," European Management Journal, Elsevier, vol. 32(3), pages 423-433.
    22. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    23. repec:eee:jeborg:v:145:y:2018:i:c:p:424-434 is not listed on IDEAS

    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ulp:sbbeta:2009-23. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/bestrfr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.