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Measuring Technological Competition among Big Five Using Patent Data: A Systematic and Scalable Approach Based on Information Retrieval Technology

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  • Katsuyuki Tanaka

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

  • Takashi Kamihigashi

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

Abstract

This paper introduces a method for developing a systematic and scalable technological analysis framework based on information retrieval technology. We construct a technology information retrieval system by aggregating all information on patents (about a 100 million), and companies and individual inventors in Worldwide Patent Statistical Database (PATSTAT). Furthermore, we introduce a large-scale, systematic technological competition analysis as the framework enables a novel approach to conduct such analysis by searching technologically similar companies and individual inventors from the constructed information retrieval system. An analysis of the technological competition around the information technology giants, such as Google, Apple, Facebook, Amazon and Microsoft, surprisingly, shows that technological conflicts are not as strong as they appear to be.

Suggested Citation

  • Katsuyuki Tanaka & Takashi Kamihigashi, 2021. "Measuring Technological Competition among Big Five Using Patent Data: A Systematic and Scalable Approach Based on Information Retrieval Technology," Discussion Paper Series DP2021-06, Research Institute for Economics & Business Administration, Kobe University.
    • Handle: RePEc:kob:dpaper:dp2021-06
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