IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v55y2004i11p991-1001.html
   My bibliography  Save this article

The university–industry knowledge relationship: Analyzing patents and the science base of technologies

Author

Listed:
  • Loet Leydesdorff

Abstract

Via the Internet, information scientists can obtain cost‐free access to large databases in the “hidden” or “deep Web.” These databases are often structured far more than the Internet domains themselves. The patent database of the U.S. Patent and Trade Office is used in this study to examine the science base of patents in terms of the literature references in these patents. University‐based patents at the global level are compared with results when using the national economy of the Netherlands as a system of reference. Methods for accessing the online databases and for the visualization of the results are specified. The conclusion is that “biotechnology” has historically generated a model for theorizing about university–industry relations that cannot easily be generalized to other sectors and disciplines.

Suggested Citation

  • Loet Leydesdorff, 2004. "The university–industry knowledge relationship: Analyzing patents and the science base of technologies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(11), pages 991-1001, September.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:11:p:991-1001
    DOI: 10.1002/asi.20045
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20045
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Suma Athreye & Martha Prevezer, 2008. "R&D offshoring and the domestic science base in India and China," Working Papers 26, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    2. Tom Magerman & Bart Looy & Xiaoyan Song, 2010. "Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 289-306, February.
    3. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    4. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    5. Sabrina L. Woltmann & Lars Alkærsig, 2018. "Tracing university–industry knowledge transfer through a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 449-472, October.
    6. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    7. onder Nomaler & Bart Verspagen, 2008. "Knowledge Flows, Patent Citations and the Impact of Science on Technology," Economic Systems Research, Taylor & Francis Journals, vol. 20(4), pages 339-366.
    8. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    9. Xia Gao & Jiancheng Guan, 2009. "Networks of scientific journals: An exploration of Chinese patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 283-302, July.
    10. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
    11. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    12. Breschi, Stefano & Catalini, Christian, 2010. "Tracing the links between science and technology: An exploratory analysis of scientists' and inventors' networks," Research Policy, Elsevier, vol. 39(1), pages 14-26, February.
    13. Chunjuan Luan & Chunyan Zhou & Aiyun Liu, 2010. "Patent strategy in Chinese universities: a comparative perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 53-63, July.
    14. Melnikas Borisas, 2018. "The Knowledge Economy and the Activation of Scientific and Technological Progress: Contemporary Challenges," Ekonomika (Economics), Sciendo, vol. 97(1), pages 7-23, January.
    15. Zutshi, Ambika & Creed, Andrew & Bhattacharya, Ananya & Bavik, Ali & Sohal, Amrik & Bavik, Yuen Lam, 2021. "Demystifying knowledge hiding in academic roles in higher education," Journal of Business Research, Elsevier, vol. 137(C), pages 206-221.
    16. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    17. Hae Ok Choi, 2020. "An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy," Land, MDPI, vol. 9(2), pages 1-19, February.
    18. Katharina Maria Hofer & Angela Elisabeth Smejkal & F. Zeynep Bilgin & Gerhard A. Wuehrer, 2010. "Conference proceedings as a matter of bibliometric studies: the Academy of International Business 2006–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 845-862, September.

    More about this item

    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:bla:jamist:v:55:y:2004:i:11:p:991-1001. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.