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Evaluating the patenting activities of pharmaceutical research organizations based on new technology indices

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  • Kang, Kiyeon
  • Sohn, So Young

Abstract

Several citation-based indicators, including patent h-index, have been introduced to evaluate the patenting activities of research organizations. However, variants developed to complement h-index have not been utilized yet in the domain of intellectual property management. The main purpose of this study is to propose new indices that can be used to evaluate the patenting activities of research and development (R&D) organizations, based on h-type complementary variants along with traditional indicators. Exploratory factor analysis (EFA) is used to identify those indices. By applying the proposed framework to pharmaceutical R&D organizations, which have their patents registered in the United States Patent Trademark Office (USPTO), the following three indices are obtained: the forward citation, impact per unit time, and patent family factors. The ranking obtained from the new indices can represent the productive capacity of the qualified patent, patent commercialization speed, and patent commercialization effort of research organizations. The new proposed indices in this study are expected to contribute to the evaluation of the patenting activities of R&D organizations from various perspectives.

Suggested Citation

  • Kang, Kiyeon & Sohn, So Young, 2016. "Evaluating the patenting activities of pharmaceutical research organizations based on new technology indices," Journal of Informetrics, Elsevier, vol. 10(1), pages 74-81.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:1:p:74-81
    DOI: 10.1016/j.joi.2015.10.006
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    Cited by:

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    2. Eun Jin Han & So Young Sohn, 2017. "Firms’ Negative Perceptions on Patents, Technology Management Strategies, and Subsequent Performance," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    3. Hidemichi Fujii & Kentaro Yoshida & Ken Sugimura, 2016. "Research and Development Strategy in Biological Technologies: A Patent Data Analysis of Japanese Manufacturing Firms," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    4. Won Sang Lee & Hyo Shin Choi & So Young Sohn, 2018. "Forecasting new product diffusion using both patent citation and web search traffic," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-12, April.
    5. Petra Maresova & Ivan Soukal & Ruzena Stemberkova & Kamil Kuca, 2020. "Innovation in the public sector in a small open economy-initial investigation of patent activity at the Czech universities," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-16, December.

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