An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation

作者：Zhang, Yi; Qian, Yue; Huang, Ying; Guo, Ying^*; Zhang, Guangquan; Lu, Jie

来源：Scientometrics, 2017, 111(3): 1925-1946.

DOI：10.1007/s11192-017-2337-7

• Patent analysis
• Indicator system
• Bibliometrics
• Technological innovation
• Entropy

How to evaluate the value of a patent in technological innovation quantitatively and systematically challenges bibliometrics. Traditional indicator systems and weighting approaches mostly lead to "moderation" results; that is, patents ranked to a top list can have only good-looking values on all indicators rather than distinctive performances in certain individual indicators. Orienting patents authorized by the United States Patent and Trademark Office (USPTO), this paper constructs an entropy-based indicator system to measure their potential in technological innovation. Shannon's entropy is introduced to quantitatively weight indicators and a collaborative filtering technique is used to iteratively remove negative patents. What remains is a small set of positive patents with potential in technological innovation as the output. A case study with 28,509 USPTO-authorized patents with Chinese assignees, covering the period from 1976 to 2014, demonstrates the feasibility and reliability of this method.

• 出版日期2017-6
• 单位北京理工大学