Exploring the nonlinear effects of patent H index, patent citations, and essential technological strength on corporate performance by using artificial neural network

Sifei Zhang, Chien-Chung Yuan, Ke-Chiun Chang and Yun Ken

Journal of Informetrics, 2012, vol. 6, issue 4, 485-495

Abstract: This study utilizes the artificial neural network to explore the nonlinear relationships between patent performance and the corporate performance of the pharmaceutical companies. Patent performance measured from patent H index, patent citations, and essential technological strength (ETS). The result shows that patent H index, patent citations, and ETS has the nonlinear effect on the corporate performance of the pharmaceutical companies.

Keywords: Patent citations; H index; Essential technological strength (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157712000284
Full text for ScienceDirect subscribers only

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:eee:infome:v:6:y:2012:i:4:p:485-495

DOI: 10.1016/j.joi.2012.03.006

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().