Analyzing the nonlinear effects of firm size, profitability, and employee productivity on patent citations of the US pharmaceutical companies by using artificial neural network

被引：28

作者：

Chen, Yu-Shan ^{[1
]}

Chang, Ke-Chiun ^{[1
]}

机构：

[1] Natl Yunlin Univ Sci & Technol, Yunlin, Taiwan

来源：

SCIENTOMETRICS | 2010年 / 82卷 / 01期

关键词：

Patent citations; Firm size; Profitability; Employee productivity; INNOVATION; TECHNOLOGY; PERFORMANCE; COMPETENCES; SCIENCE;

D O I：

10.1007/s11192-009-0034-x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study utilized artificial neural network (ANN) to explore the nonlinear influences of firm size, profitability, and employee productivity upon patent citations of the US pharmaceutical companies. The results showed that firm size, profitability, and employee productivity of the US pharmaceutical companies had the nonlinearly and monotonically positive influences upon their patent citations. Therefore, if US pharmaceutical companies want to enhance their innovation performance, they should pay attention on their firm size, profitability, and employee productivity.

引用

页码：75 / 82

页数：8

共 25 条

[1] What percentage of innovations are patented? empirical estimates for European firms [J].