Re-examine the determinants of market value from the perspectives of patent analysis and patent litigation
Yu-Shan Chen (),
Yu-Hsien Lin,
Tai-Hsi Wu,
Shu-Tzu Hung,
Pei-Ju Lucy Ting and
Chen-Han Hsieh
Additional contact information
Yu-Shan Chen: National Taipei University
Yu-Hsien Lin: University of Taipei
Tai-Hsi Wu: National Taipei University
Shu-Tzu Hung: National Taipei University
Pei-Ju Lucy Ting: National Taipei University
Chen-Han Hsieh: National Taipei University
Scientometrics, 2019, vol. 120, issue 1, No 1, 17 pages
Abstract:
Abstract This study re-examined the determinants of market value from the perspectives of patent analysis and patent litigation in the American semiconductor industry. We used artificial neural networks to explore the influences of patent counts, defendant counts of patent litigation, and patent share on market value in the American semiconductor industry. The patent data were collected from the United States Patent and Trademark Office, legal data were collected from the database of Westlaw and the financial data were collected from the database of COMPUSTAT. The results show that patent counts and defendant counts of patent litigation have a positive effect on corporate performance in the American semiconductor industry. However, patent share has a negative effect on corporate performance in the American semiconductor industry. Accordingly, we can apply the three indicators, patent counts, defendant counts of patent litigation, and patent share, to assess market value of American semiconductor companies.
Keywords: Patent counts; Defendant counts of patent litigation; Patent share; Market value; American semiconductor industry (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03119-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:120:y:2019:i:1:d:10.1007_s11192-019-03119-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-019-03119-7
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().