IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v38y2013i5p699-715.html
   My bibliography  Save this article

The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry

Author

Listed:
  • Yuandi Wang
  • Zhao Zhou

    ()

  • Jason Li-Ying

Abstract

In this article, we provide a compelling case for demonstrating “learning-by-licensing,” and we further investigate the moderating effect of specific licensed-knowledge attributes on the innovation performance of licensee firms. This case is based on a unique dataset from the China State of Intellectual Property Office regarding technology-licensing activities and spanning the years 2000–2010. Using this dataset we make a longitudinal analysis of the lagging learning effect that transferee firms experience when they in-license technology. The empirical results from 71 Chinese electronic-industry firms reconfirm the concept of “learning-by-licensing.” Moreover, the results also indicate that both technology complexity and technology generality, which are attributes of licensed knowledge, have positive moderating effects on the relationship between technology in-licensing and the subsequent innovation performance of licensee firms. However, such a positive moderating effect was not found for the newness of technology. Copyright The Author(s) 2013

Suggested Citation

  • Yuandi Wang & Zhao Zhou & Jason Li-Ying, 2013. "The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry," The Journal of Technology Transfer, Springer, vol. 38(5), pages 699-715, October.
  • Handle: RePEc:kap:jtecht:v:38:y:2013:i:5:p:699-715
    DOI: 10.1007/s10961-012-9260-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10961-012-9260-0
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, Oxford University Press, vol. 120(2), pages 701-728.
    3. Lee, Keun & Lim, Chaisung, 2001. "Technological regimes, catching-up and leapfrogging: findings from the Korean industries," Research Policy, Elsevier, vol. 30(3), pages 459-483, March.
    4. Gans, Joshua S. & Stern, Scott, 2003. "The product market and the market for "ideas": commercialization strategies for technology entrepreneurs," Research Policy, Elsevier, vol. 32(2), pages 333-350, February.
    5. David J. Teece, 2008. "Technology Transfer By Multinational Firms: The Resource Cost Of Transferring Technological Know-How," World Scientific Book Chapters,in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 1, pages 1-22 World Scientific Publishing Co. Pte. Ltd..
    6. Dushnitsky, Gary & Lenox, Michael J., 2005. "When do incumbents learn from entrepreneurial ventures?: Corporate venture capital and investing firm innovation rates," Research Policy, Elsevier, vol. 34(5), pages 615-639, June.
    7. Joseph Hilbe, 1994. "Negative binomial regression," Stata Technical Bulletin, StataCorp LP, vol. 3(18).
    8. Mytelka, Lynn K. & Smith, Keith, 2002. "Policy learning and innovation theory: an interactive and co-evolving process," Research Policy, Elsevier, vol. 31(8-9), pages 1467-1479, December.
    9. Bruce Kogut & Udo Zander, 1993. "Knowledge of the Firm and the Evolutionary Theory of the Multinational Corporation," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 24(4), pages 625-645, December.
    10. Belsley, David A., 1980. "On the efficient computation of the nonlinear full-information maximum-likelihood estimator," Journal of Econometrics, Elsevier, vol. 14(2), pages 203-225, October.
    11. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September.
    12. Arvids A. Ziedonis, 2007. "Real Options in Technology Licensing," Management Science, INFORMS, vol. 53(10), pages 1618-1633, October.
    13. Andreas Hornstein & Per Krusell, 1996. "Can Technology Improvements Cause Productivity Slowdowns?," NBER Chapters,in: NBER Macroeconomics Annual 1996, Volume 11, pages 209-276 National Bureau of Economic Research, Inc.
    14. Joshua Lerner, 1994. "The Importance of Patent Scope: An Empirical Analysis," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 319-333, Summer.
    15. Carayannopoulos, Sofy & Auster, Ellen R., 2010. "External knowledge sourcing in biotechnology through acquisition versus alliance: A KBV approach," Research Policy, Elsevier, vol. 39(2), pages 254-267, March.
    16. Cloodt, Myriam & Hagedoorn, John & Van Kranenburg, Hans, 2006. "Mergers and acquisitions: Their effect on the innovative performance of companies in high-tech industries," Research Policy, Elsevier, vol. 35(5), pages 642-654, June.
    17. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters,in: The Handbook of Evolutionary Economic Geography, chapter 15 Edward Elgar Publishing.
    18. Contractor, Farok J. & Ra, Wonchan, 2002. "How knowledge attributes influence alliance governance choices: A theory development note," Journal of International Management, Elsevier, vol. 8(1), pages 11-27.
    19. Granstrand, Ove & Sjölander, Sören, 1990. "The Acquisition of Technology and Small Firms by Large Firms," Working Paper Series 213, Research Institute of Industrial Economics.
    20. David Audretsch & Albert Link, 2012. "Entrepreneurship and innovation: public policy frameworks," The Journal of Technology Transfer, Springer, vol. 37(1), pages 1-17, February.
    21. Wright, Mike & Clarysse, Bart & Lockett, Andy & Knockaert, Mirjam, 2008. "Mid-range universities' linkages with industry: Knowledge types and the role of intermediaries," Research Policy, Elsevier, vol. 37(8), pages 1205-1223, September.
    22. Bozeman, Barry, 2000. "Technology transfer and public policy: a review of research and theory," Research Policy, Elsevier, vol. 29(4-5), pages 627-655, April.
    23. Katrak, Homi, 1997. "Developing countries' imports of technology, in-house technological capabilities and efforts: an analysis of the Indian experience," Journal of Development Economics, Elsevier, vol. 53(1), pages 67-83, June.
    24. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
    25. Pitkethly, Robert H., 2001. "Intellectual property strategy in Japanese and UK companies: patent licensing decisions and learning opportunities," Research Policy, Elsevier, vol. 30(3), pages 425-442, March.
    26. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    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. Jason Li-Ying & Yuandi Wang & Lutao Ning, 2016. "How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model," Asia Pacific Journal of Management, Springer, vol. 33(4), pages 1009-1036, December.
    2. repec:kap:jtecht:v:42:y:2017:i:6:d:10.1007_s10961-016-9532-1 is not listed on IDEAS
    3. Lee, Jong-Seon & Park, Ji-Hoon & Bae, Zong-Tae, 2017. "The effects of licensing-in on innovative performance in different technological regimes," Research Policy, Elsevier, vol. 46(2), pages 485-496.
    4. Yuandi Wang & Xin Pan & Lutao Ning & Jian Li & Jin Chen, 2015. "Technology exchange patterns in China: an analysis of regional data," The Journal of Technology Transfer, Springer, vol. 40(2), pages 252-272, April.
    5. Jiang, Marshall S. & Branzei, Oana & Xia, Jun, 2016. "DIY: How internationalization shifts the locus of indigenous innovation for Chinese firms," Journal of World Business, Elsevier, vol. 51(5), pages 662-674.
    6. Suzuki, Keishun, 2017. "Patent Protection, Optimal Licensing, and Innovation with Endogenous Entry," MPRA Paper 82712, University Library of Munich, Germany.
    7. Mijung Jung & Yi-beck Lee & Heesang Lee, 2015. "Classifying and prioritizing the success and failure factors of technology commercialization of public R&D in South Korea: using classification tree analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 877-898, October.
    8. José González-Pernía & Mario Parrilli & Iñaki Peña-Legazkue, 2015. "STI–DUI learning modes, firm–university collaboration and innovation," The Journal of Technology Transfer, Springer, vol. 40(3), pages 475-492, June.

    More about this item

    Keywords

    Technology licensing; Knowledge attributes; Technological learning; Innovation performance; China; L2; L24; L25;

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:kap:jtecht:v:38:y:2013:i:5:p:699-715. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.