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 :
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