Authors: MuHsuan Huang HuiYun Sung ChunChieh Wang DarZen Chen
Publish Date: 2012/10/27
Volume: 96, Issue: 1, Pages: 11-26
Abstract
In the era of the fastpaced knowledge economy patent data may be analyzed to measure technological competitiveness This paper aims to explore patent performance by indicators and technology interactions based on patent citation of assignee types This study involved four types of patent assignees ie universities industries governments and individuals in five technological fields ie computers and communications drugs and medical electrical and electronics chemical and mechanical over three periods ie 1997–2001 2002–2006 and 2007–2011 Four indicators were chosen for analysis of patent performance they included patent share science linkage current impact index and citation density The findings of this study show that among all four assignee types industries had the highest patent productivity in all fields and universities had the highest impact in all fields except for drugs and medical Other interesting phenomena were also observed Examples include reciprocal technology interactions between universities and governments low technology interactions of industries in each field individuals’ higher patent performance and technology interactions in the field of drugs and medical
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