• DocumentCode
    2581677
  • Title

    Applying neural network to explore the influences of the patent indicators upon the market value of the American pharmaceutical companies

  • Author

    Chen, Yu-Shan ; Chang, Ke-Chiun ; Shih, I-Chun

  • Author_Institution
    Dept. of Bus. Adm., Nat. Yunlin Univ. of Sci.&Technol., Yunlin
  • fYear
    2008
  • fDate
    27-31 July 2008
  • Firstpage
    80
  • Lastpage
    88
  • Abstract
    This study applies the artificial neural network technique to explore the influence of the patent performance upon the market value of the pharmaceutical companies in US. The result shows that Herfindahl-Hirschman Index of patents has the negative influence upon the market value of the pharmaceutical companies in US, and the technological independence has the positive influence upon their market value. In addition, this study also finds out that the patent citations have the inverse u-shaped influence upon the market value of the American pharmaceutical companies.
  • Keywords
    neural nets; patents; pharmaceutical industry; production engineering computing; American pharmaceutical company; Herfindahl-Hirschman patent index; artificial neural network; market value; patent citation; patent indicator; technological independence; Africa; Chemical industry; Chemical technology; Cities and towns; Companies; Computational intelligence; Drugs; Neural networks; Pharmaceutical technology; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-890843-17-5
  • Electronic_ISBN
    978-1-890843-18-2
  • Type

    conf

  • DOI
    10.1109/PICMET.2008.4599612
  • Filename
    4599612