IDEAS home Printed from https://ideas.repec.org/p/jrp/jrpwrp/2016-005.html
   My bibliography  Save this paper

Preferential Attachment and Pattern Formation in R&D Networks - Plausible explanation or just a widespread myth?

Author

Listed:
  • Michael Fritsch

    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Muhamed Kudic

    (Stifterverband für die Deutsche Wissenschaft, Wissenschaftsstatistik, Essen)

Abstract

The emergence and solidification of network patterns is typically explained by the preferential attachment rule. The underlying logic is that a small number of actors which are characterized by an above average degree attract links at a higher rate than others. We raise the question as to what extent the wide spread preferential attachment explanation holds true in the context of inventor networks. To shed some light on this issue we investigate co-patenting relationships among inventors in the field of laser technology in West Germany from 1961 to 2005. From a system perspective, the development of the inventor networks is in line with the pattern that is implied by the preferential attachment logic. However, we find high levels of fluidity of micro-level relationships that put the typical transaction cost and trust-based explanation of tie formation processes into question.

Suggested Citation

  • Michael Fritsch & Muhamed Kudic, 2016. "Preferential Attachment and Pattern Formation in R&D Networks - Plausible explanation or just a widespread myth?," Jena Economic Research Papers 2016-005, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2016-005
    as

    Download full text from publisher

    File URL: http://www2.wiwi.uni-jena.de/Papers/jerp2016/wp_2016_005.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press, vol. 26(4), pages 617-646.
    2. Guido Buenstorf, 2007. "Evolution on the Shoulders of Giants: Entrepreneurship and Firm Survival in the German Laser Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(3), pages 179-202, May.
    3. Maurizio Zollo & Jeffrey J. Reuer & Harbir Singh, 2002. "Interorganizational Routines and Performance in Strategic Alliances," Organization Science, INFORMS, vol. 13(6), pages 701-713, December.
    4. Guido Buenstorf & Michael Fritsch & Luis F. Medrano, 2020. "Regional Knowledge, Organizational Capabilities and the Emergence of the West German Laser Systems Industry, 1975–2005," Regional Studies, Taylor & Francis Journals, vol. 49(1), pages 59-75, July.
    5. Hagedoorn, John, 2002. "Inter-firm R&D partnerships: an overview of major trends and patterns since 1960," Research Policy, Elsevier, vol. 31(4), pages 477-492, May.
    6. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 137-156.
    7. repec:spo:wpecon:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    8. Grupp, Hariolf, 2000. "Learning in a Science-Driven Market: The Case of Lasers," Industrial and Corporate Change, Oxford University Press, vol. 9(1), pages 143-172, March.
    9. 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.
    10. Muhamed Kudic, 2015. "Innovation Networks in the German Laser Industry," Economic Complexity and Evolution, Springer, edition 127, number 978-3-319-07935-6, October.
    11. Michael Fritsch & Luis F. Medrano Echalar, 2015. "New technology in the region - agglomeration and absorptive capacity effects on laser technology research in West Germany, 1960-2005," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 65-94, March.
    12. Muhamed Kudic & Andreas Pyka & Jutta Guenther, 2015. "Taking The First Step — What Determines German Laser Source Manufacturers Entry Into Innovation Networks?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-26.
    13. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    14. Mario Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," Working Papers hal-03609674, HAL.
    15. 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.
    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. Vincent Frigant & Stéphane Miollan & M. Presse, 2016. "Is the Fuel Cell Vehicle’s Technological Innovation System built at a global or national scale? An analysis of carmakers' co-patents’ portfolios," Post-Print hal-02150385, HAL.
    2. Michael Fritsch & Muhamed Kudic, 2022. "Micro dynamics and macro stability in inventor networks," The Journal of Technology Transfer, Springer, vol. 47(2), pages 353-382, April.
    3. Michael Fritsch & Moritz Zoellner, 2020. "The fluidity of inventor networks," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1063-1087, August.
    4. Vincent Frigant & Stéphane Miollan & Maëlise Presse & David Virapin, 2019. "Quelles frontières géographiques pour les systèmes d’innovation technologique ?. Une analyse par les co-brevets appliquée au véhicule à pile à combustible," Innovations, De Boeck Université, vol. 0(1), pages 243-273.
    5. Mitze, Timo & Strotebeck, Falk, 2019. "Determining factors of interregional research collaboration in Germany's biotech network: Capacity, proximity, policy?," Technovation, Elsevier, vol. 80, pages 40-53.
    6. Mitze, Timo & Strotebeck, Falk, 2017. "Modeling interregional research collaborations in German biotechnology using industry directory data: A quantitative social network analysis," MPRA Paper 83392, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015. "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 187-220, October.
    2. Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015. "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers 1/2015, Halle Institute for Economic Research (IWH).
    3. Michael Fritsch & Muhamed Kudic, 2022. "Micro dynamics and macro stability in inventor networks," The Journal of Technology Transfer, Springer, vol. 47(2), pages 353-382, April.
    4. Buchmann, Tobias & Hain, Daniel & Kudic, Muhamed & Müller, Matthias, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1/2014, Halle Institute for Economic Research (IWH).
    5. Kudic, Muhamed & Guhr, Katja, 2013. "Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry," IWH Discussion Papers 6/2013, Halle Institute for Economic Research (IWH).
    6. Silvia Vicente-Oliva & Ángel Martínez-Sánchez & Luis Berges-Muro, 2016. "Enhancing The Outcomes In R&D Collaborative Projects: An Empirical Analysis Of The Middle Ebro Valley In Spain," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-34, October.
    7. Kudic, Muhamed & Pyka, Andreas & Sunder, Marco, 2013. "Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers," IWH Discussion Papers 9/2013, Halle Institute for Economic Research (IWH).
    8. Guido Buenstorf & Dominik P. Heinisch, 2020. "Science and industry evolution: evidence from the first 50 years of the German laser industry," Small Business Economics, Springer, vol. 54(2), pages 523-538, February.
    9. Mauro Caminati, 2016. "Knowledge specialization and R&D collaboration," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 247-270, May.
    10. Kudic, Muhamed & Pyka, Andreas & Günther, Jutta, 2012. "Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry," IWH Discussion Papers 7/2012, Halle Institute for Economic Research (IWH).
    11. Heimeriks, K. & Duysters, G.M. & Vanhaverbeke, W.P.M., 2004. "The evolution of alliance capabilities," Working Papers 04.20, Eindhoven Center for Innovation Studies.
    12. Blankenberg, Ann-Kathrin & Buenstorf, Guido, 2016. "Regional co-evolution of firm population, innovation and public research? Evidence from the West German laser industry," Research Policy, Elsevier, vol. 45(4), pages 857-868.
    13. Gräbner, Claudius & Heinrich, Torsten & Kudic, Muhamed, 2016. "Structuration processes in complex dynamic systems - an overview and reassessment," MPRA Paper 69095, University Library of Munich, Germany.
    14. Capaldo, Antonio & Messeni Petruzzelli, Antonio, 2011. "In search of alliance-level relational capabilities: Balancing innovation value creation and appropriability in R&D alliances," Scandinavian Journal of Management, Elsevier, vol. 27(3), pages 273-286, September.
    15. Muhamed Kudic & Matthias Müller & Tobias Buchmann & Andreas Pyka & Jutta Günther, 2021. "Network dynamics, economic transition, and policy design—an introduction," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 1-8, April.
    16. Mohamad Alghamdi, 2020. "Economics Performance Under Endogenous Knowledge Spillovers," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(2), pages 175-192, June.
    17. Ali Tafti & Sunil Mithas & M. S. Krishnan, 2013. "The Effect of Information Technology-Enabled Flexibility on Formation and Market Value of Alliances," Management Science, INFORMS, vol. 59(1), pages 207-225, June.
    18. Irène Kilubi & Hans-Dietrich Haasis, 2016. "26 Years of Strategic Technology Partnering: Investigating Trends, Patterns and Future Prospects in Research Through Frequency Analysis," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-44, April.
    19. Vikas A. Aggarwal, 2020. "Resource congestion in alliance networks: How a firm's partners’ partners influence the benefits of collaboration," Strategic Management Journal, Wiley Blackwell, vol. 41(4), pages 627-655, April.
    20. Seok-Woo Kwon & Jerayr Haleblian & John Hagedoorn, 2016. "In country we trust? National trust and the governance of international R&D alliances," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 47(7), pages 807-829, September.

    More about this item

    Keywords

    Preferential attachment; inventor networks; system stability; micro-level instability; laser industry;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • D2 - Microeconomics - - Production and Organizations
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:jrp:jrpwrp:2016-005. 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://www.wiwiss.uni-jena.de/ .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Markus Pasche (email available below). General contact details of provider: http://www.wiwiss.uni-jena.de/ .

    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.