IDEAS home Printed from https://ideas.repec.org/p/kob/dpaper/dp2022-09.html
   My bibliography  Save this paper

Technological Competition among the Big Five in Patent Data: A Systematic and Scalable Approach Based on Web-Search Technology

Author

Listed:
  • Katsuyuki Tanaka

    (Research Institute for Economics and Business Administration and Center for Computational Social Science, Kobe University, JAPAN)

  • Takashi Kamihigashi

    (Research Institute for Economics and Business Administration and Center for Computational Social Science, Kobe University, JAPAN)

Abstract

Despite the apparent rivalry among Google, Apple, Facebook, Amazon, and Microsoft, each of them is immensely successful, thereby raising the question: Who are their competitors? We investigate this phenomenon by systematically ascertaining the most likely competitors from a technological competitor retrieval system constructed by aggregating information on companies, individual inventors, and approximately 73 million patents on the Worldwide Patent Statistical Database. We introduce a novel technological competition analysis based on the results, revealing that technological competitions are not as intense as they appear. We extend the technological analysis scope to a scalable and systematic framework by employing web-search technology.

Suggested Citation

  • Katsuyuki Tanaka & Takashi Kamihigashi, 2022. "Technological Competition among the Big Five in Patent Data: A Systematic and Scalable Approach Based on Web-Search Technology," Discussion Paper Series DP2022-09, Research Institute for Economics & Business Administration, Kobe University.
    • Handle: RePEc:kob:dpaper:dp2022-09
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Technological analysis; Data science; Patent; Techonological competition; Big Five;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

    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:kob:dpaper:dp2022-09. 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: Office of Promoting Research Collaboration, Research Institute for Economics & Business Administration, Kobe University (email available below). General contact details of provider: https://edirc.repec.org/data/rikobjp.html .

    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.