IDEAS home Printed from https://ideas.repec.org/a/oup/scippl/v49y2022i1p98-114..html
   My bibliography  Save this article

Technological structure network analysis to explore the hotspots of academic patents in international technology transfer
[Technology Transfer through Imports]

Author

Listed:
  • Shu-Hao Chang

Abstract

International technology transfer is a determinant of a country’s national revenue and economic growth. Technology exported through international technology transfer can be the factor that gives a country a competitive edge. Therefore, investigation of international technology transfer has become essential. With the role of universities in innovation changing, academic patents have increased significantly over the past 10 years. Thus, this study used academic patents involved in international technology transfer as a basis for analysis and attempted to identify technological hotspots through a technological structure network analysis. The results indicated that key technologies in academic patent–based international technology transfer networks were mainly concentrated on measurement, nanotechnology, medical technology, biotechnology, and electric digital data processing. An academic patent technological hotspot network model was established to serve as a reference for academic technology transfers as well as for governments in their promotion of emerging technologies.

Suggested Citation

  • Shu-Hao Chang, 2022. "Technological structure network analysis to explore the hotspots of academic patents in international technology transfer [Technology Transfer through Imports]," Science and Public Policy, Oxford University Press, vol. 49(1), pages 98-114.
  • Handle: RePEc:oup:scippl:v:49:y:2022:i:1:p:98-114.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/scipol/scab065
    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.

    Citations

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


    Cited by:

    1. Lei Ye & Ting Zhang & Xianzhong Cao & Senlin Hu & Gang Zeng, 2024. "Mapping the landscape of university technology flows in China using patent assignment data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

    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:oup:scippl:v:49:y:2022:i:1:p:98-114.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/spp .

    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.