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Exploring patent performance and technology interactions of universities, industries, governments and individuals

Author

Listed:
  • Mu-Hsuan Huang

    (National Taiwan University)

  • Hui-Yun Sung

    (National Chung Hsing University)

  • Chun-Chieh Wang

    (National Taiwan University)

  • Dar-Zen Chen

    () (National Taiwan University)

Abstract

In the era of the fast-paced knowledge economy, patent data may be analyzed to measure technological competitiveness. This paper aims to explore patent performance by indicators and technology interactions based on patent citation of assignee types. This study involved four types of patent assignees (i.e. universities, industries, governments, and individuals) in five technological fields (i.e. computers and communications; drugs and medical; electrical and electronics; chemical; and mechanical) over three periods (i.e. 1997–2001, 2002–2006, and 2007–2011). Four indicators were chosen for analysis of patent performance; they included, patent share, science linkage, current impact index, and citation density. The findings of this study show that among all four assignee types, industries had the highest patent productivity in all fields, and universities had the highest impact in all fields except for drugs and medical. Other interesting phenomena were also observed. Examples include reciprocal technology interactions between universities and governments; low technology interactions of industries in each field; individuals’ higher patent performance and technology interactions in the field of drugs and medical.

Suggested Citation

  • Mu-Hsuan Huang & Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen, 2013. "Exploring patent performance and technology interactions of universities, industries, governments and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 11-26, July.
  • Handle: RePEc:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-012-0878-3
    DOI: 10.1007/s11192-012-0878-3
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    References listed on IDEAS

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    Cited by:

    1. Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen & Mu-Hsuan Huang, 2014. "A comparative study of patent counts by the inventor country and the assignee country," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 577-593, August.
    2. Hella Bani Baghdadi & Sami Aouadi, 2018. "Does Patent Performance Promote Relative Technological Performance in Countries Bordering the Mediterranean?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1246-1269, December.
    3. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    4. R. John Milne & Brian T. Denton & Troy White, 2015. "ASP, The Art and Science of Practice: How Analytics Practitioners Can Learn from Published Patents and Protect Their Work," Interfaces, INFORMS, vol. 45(3), pages 271-277, June.

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