IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v82y2010i1d10.1007_s11192-009-0101-3.html
   My bibliography  Save this article

The nonlinear nature of the relationships between the patent traits and corporate performance

Author

Listed:
  • Yu-Shan Chen

    (National Yunlin University of Science & Technology)

  • Ke-Chiun Chang

    (National Yunlin University of Science & Technology)

Abstract

This study utilizes neural network to explore the nonlinear relationships between corporate performance and the patent traits measured from Herfindahl-Hirschman Index of patents (HHI of patents), patent citations, and relative patent position in the most important technological field (RPPMIT) in the US pharmaceutical industry. The results show that HHI of patents and RPPMIT have nonlinearly and monotonically positive influences upon corporate performance, while the influence of patent citations is nonlinearly U-shaped. Therefore, pharmaceutical companies should raise the degrees of the leading position in their most important technological fields and the centralization of their technological capabilities to enhance corporate performance.

Suggested Citation

  • Yu-Shan Chen & Ke-Chiun Chang, 2010. "The nonlinear nature of the relationships between the patent traits and corporate performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 201-210, January.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:1:d:10.1007_s11192-009-0101-3
    DOI: 10.1007/s11192-009-0101-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0101-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-009-0101-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nagaoka, Sadao, 2005. "Determinants of high-royalty contracts and the impact of stronger protection of intellectual property rights in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 19(2), pages 233-254, June.
    2. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    3. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    4. Henry Grabowski & John Vernon, 1990. "A New Look at the Returns and Risks to Pharmaceutical R&D," Management Science, INFORMS, vol. 36(7), pages 804-821, July.
    5. Yong-Gil Lee & Jeong-Dong Lee & Yong-Il Song & Se-Jun Lee, 2007. "An in-depth empirical analysis of patent citation counts using zero-inflated count data model: The case of KIST," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 27-39, January.
    6. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    7. Constantinos C. Markides & Peter J. Williamson, 1994. "Related diversification, core competences and corporate performance," Strategic Management Journal, Wiley Blackwell, vol. 15(S2), pages 149-165, June.
    8. Xavier Polanco & Claire François & Jean-Charles Lamirel, 2001. "Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 267-292, April.
    9. Richard A. Bettis & Michael A. Hitt, 1995. "The new competitive landscape," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 7-19.
    10. Hirschey, Mark & Richardson, Vernon J., 2004. "Are scientific indicators of patent quality useful to investors?," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 91-107, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. JinHyo Joseph Yun & EuiSeob Jeong & ChangHwan Lee & JinSeu Park & Xiaofei Zhao, 2017. "Effect of Distance on Open Innovation: Differences among Institutions According to Patent Citation and Reference," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    2. Shu-Hao Chang, 2017. "The evolutionary growth estimation model of international cooperative patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 711-729, August.
    3. Ming-Chao Huang & Shih-Chieh Fang & Shao-Chi Chang, 2011. "Tracking R&D behavior: bibliometric analysis of drug patents in the Orange Book," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 805-818, September.
    4. 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.
    5. Jinhyo Joseph Yun & EuiSeob Jeong & YoungKyu Lee & KyungHun Kim, 2018. "The Effect of Open Innovation on Technology Value and Technology Transfer: A Comparative Analysis of the Automotive, Robotics, and Aviation Industries of Korea," Sustainability, MDPI, vol. 10(7), pages 1-16, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu-Shan Chen & Ke-Chiun Chang, 2009. "Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 637-655, September.
    2. Yu-Shan Chen & Chun-Yu Shih, 2011. "Re-examine the relationship between patents and Tobin’s q," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 781-794, December.
    3. 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.
    4. Yu-Shan Chen & Chun-Yu Shih & Ching-Hsun Chang, 2014. "Explore the new relationship between patents and market value: a panel smooth transition regression (PSTR) approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1145-1159, February.
    5. Maria Chiara Di Guardo & Kathryn Rudie Harrigan & Elona Marku, 2019. "M&A and diversification strategies: what effect on quality of inventive activity?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(3), pages 669-692, September.
    6. Yu-Shan Chen, 2011. "Using patent analysis to explore corporate growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 433-448, August.
    7. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    8. Bart Leten & Rene Belderbos & Bart Van Looy, 2016. "Entry and Technological Performance in New Technology Domains: Technological Opportunities, Technology Competition and Technological Relatedness," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1257-1291, December.
    9. Masatoshi Kato & Koichiro Onishi & Yuji Honjo, 2022. "Does patenting always help new firm survival? Understanding heterogeneity among exit routes," Small Business Economics, Springer, vol. 59(2), pages 449-475, August.
    10. Rakesh B. Sambharya & Jooh Lee, 2014. "Renewing Dynamic Capabilities Globally: An Empirical Study of the World’s Largest MNCs," Management International Review, Springer, vol. 54(2), pages 137-169, April.
    11. Hanne Peeters & Julie Callaert & Bart Looy, 2020. "Do firms profit from involving academics when developing technology?," The Journal of Technology Transfer, Springer, vol. 45(2), pages 494-521, April.
    12. Kannan-Narasimhan, Rangapriya (Priya) & Wang, Ruixiang & Zhu, Pengcheng, 2023. "Founder versus agent CEOs: Effects of founder status and power on firm innovation and cost of capital," Journal of Business Research, Elsevier, vol. 167(C).
    13. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    14. José Lejarraga & Ester Martinez-Ros, 2014. "Size, R&D productivity and Decision Styles," Small Business Economics, Springer, vol. 42(3), pages 643-662, March.
    15. Belderbos, Rene & Faems, Dries & Leten, Bart & Van Looy, Bart, 2009. "Technological activities and their impact on the financial performance of the firm: Exploitation and exploration within and between firms," MERIT Working Papers 2009-067, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. Neuhäusler , Peter & Schubert, Torben & Frietsch , Rainer & Blind , Knut, 2015. "Managing Portfolio Risk in Strategic Technology Management: Evidence from a Panel Data Set of the World’s Largest R&D Performers," Papers in Innovation Studies 2015/41, Lund University, CIRCLE - Centre for Innovation Research.
    17. Morricone, Serena & Munari, Federico & Oriani, Raffaele & de Rassenfosse, Gaetan, 2017. "Commercialization Strategy and IPO Underpricing," Research Policy, Elsevier, vol. 46(6), pages 1133-1141.
    18. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    19. Iain M. Cockburn & Megan J. MacGarvie, 2011. "Entry and Patenting in the Software Industry," Management Science, INFORMS, vol. 57(5), pages 915-933, May.
    20. Jun Hong Park & Sang Ho Kook & Hyeonu Im & Soomin Eum & Chulung Lee, 2018. "Fabless Semiconductor Firms’ Financial Performance Determinant Factors: Product Platform Efficiency and Technological Capability," Sustainability, MDPI, vol. 10(10), pages 1-22, September.

    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:spr:scient:v:82:y:2010:i:1:d:10.1007_s11192-009-0101-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.