IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9781786344069_0011.html
   My bibliography  Save this book chapter

Bibliometrics and Networks: Trends and Typology of Emerging Antenna Propagation Technologies

In: Innovation Discovery Network Analysis of Research and Invention Activity for Technology Management

Author

Listed:
  • Yasutomo Takano
  • Yuya Kajikawa
  • Makoto Ando

Abstract

The detection of emerging technologies is vital for R&D managers and policy makers; hence, the bibliometric approach to analyzing papers and patents was developed. In this study, we proposed a new method, the research classification schema (RCS). We used citation network analysis to classify technologies into four categories: change-maker, breakthrough, matured, and incremental. Each technology is then plotted on the RCS based on its publication profile. A case study in the field of antennas was undertaken to evaluate the relevance and effectiveness of the RCS. The RCS method demonstrates the usefulness of the identification process of promising technologies, and therefore, the convenience of target designing research projects in universities and companies. We also discussed the effect of the resolution limit of clustering algorithms on the RCS to improve reliability.

Suggested Citation

  • Yasutomo Takano & Yuya Kajikawa & Makoto Ando, 2018. "Bibliometrics and Networks: Trends and Typology of Emerging Antenna Propagation Technologies," World Scientific Book Chapters, in: Tugrul Daim & Alan Pilkington (ed.), Innovation Discovery Network Analysis of Research and Invention Activity for Technology Management, chapter 11, pages 279-303, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9781786344069_0011
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9781786344069_0011
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9781786344069_0011
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    More about this item

    Keywords

    Bibliometrics; Technology Management; Patents; Innovation; Scientometric; Network Analysis; Network Tools;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:wsi:wschap:9781786344069_0011. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.