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
Link To Document