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The relationships between the patent performance and corporation performance

Author

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  • Chang, Ke-Chiun
  • Chen, Dar-Zen
  • Huang, Mu-Hsuan

Abstract

This study utilizes panel regression model to explore the relationships between corporate performance and the patent performance measured from patent H index, current impact index (CII), and essential patent index (EPI) in the pharmaceutical company. The results demonstrate that patent H index and EPI have positive influences upon corporate performance. Furthermore, this study developed a classification for the pharmaceutical companies to divide them into four types, and provided some suggestions to them.

Suggested Citation

  • Chang, Ke-Chiun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2012. "The relationships between the patent performance and corporation performance," Journal of Informetrics, Elsevier, vol. 6(1), pages 131-139.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:1:p:131-139
    DOI: 10.1016/j.joi.2011.09.001
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    References listed on IDEAS

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    2. Grashuis Jasper & Dary Stanley, 2019. "Patented Innovation and Firm Value in the U.S. Food and Drink Industry: The Economic Importance of High-Quality Product Innovation," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(2), pages 1-14, November.
    3. Guderian, Carsten C. & Posth, Jan-Alexander & Grob, Linus, 2023. "Investment decisions and passive portfolio construction utilizing patent analytics: A multi-case study on COVID-19 treatment technologies," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 66-87.
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    5. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2020. "Concordance and complementarity in IP instruments," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 756-788, August.
    6. Iman Cheratian & Saleh Goltabar & Hassan Gholipour Fereidouni & Mohammad Reza Farzanegan, 2023. "External Financing and Firm Growth: Evidence from Micro, Small, and Medium Enterprises in Iran," MAGKS Papers on Economics 202308, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Font-Julián, Cristina I & Ontalba-Ruipérez, José-Antonio & Orduña-Malea, Enrique & Thelwall, Mike, 2022. "Which types of online resource support US patent claims?," Journal of Informetrics, Elsevier, vol. 16(1).
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    9. Jun Hong Park & Hyunseog Chung & Ki Hong Kim & Jin Ju Kim & Chulung Lee, 2021. "The Impact of Technological Capability on Financial Performance in the Semiconductor Industry," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    10. Zoltán Lakner & Anna Kiss & József Popp & Zoltán Zéman & Domicián Máté & Judit Oláh, 2019. "From Basic Research to Competitiveness: An Econometric Analysis of the Global Pharmaceutical Sector," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    11. Zhang, Sifei & Yuan, Chien-Chung & Chang, Ke-Chiun & Ken, Yun, 2012. "Exploring the nonlinear effects of patent H index, patent citations, and essential technological strength on corporate performance by using artificial neural network," Journal of Informetrics, Elsevier, vol. 6(4), pages 485-495.
    12. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
    13. 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.
    14. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    15. Ozcan, Sercan & Islam, Nazrul, 2014. "Collaborative networks and technology clusters — The case of nanowire," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 115-131.
    16. M. Grazzi & C. Piccardo & C. Vergari, 2019. "Concordance and complementarity in Intellectual Property instruments," Working Papers wp1127, Dipartimento Scienze Economiche, Universita' di Bologna.
    17. Jang, Hyun Jin & Woo, Han-Gyun & Lee, Changyong, 2017. "Hawkes process-based technology impact analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 511-529.
    18. Taglialatela, Jonathan & Barontini, Roberto, 2024. "SMEs and patents: Is it worth it? A longitudinal analysis of the patent-performance relationship," Journal of Economics and Business, Elsevier, vol. 128(C).
    19. 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.
    20. Zhiwen Li & Oswin Aganda Anaba & Zhiqiang Ma & Mingxing Li, 2021. "Ghanaian SMEs Amidst the COVID-19 Pandemic: Evaluating the Influence of Entrepreneurial Orientation," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
    21. Csomós György, 2017. "Mapping Spatial and Temporal Changes of Global Corporate Research and Development Activities by Conducting a Bibliometric Analysis," Quaestiones Geographicae, Sciendo, vol. 36(1), pages 65-77, March.

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