基于专利结构化数据的专利价值评估指标研究

被引：30

作者：

胡小君 ^{[1
]}

陈劲 ^{[2
,3
]}

机构：

[1] 浙江大学医学院医学信息中心

[2] 教育部人文社会科学重点基地清华大学技术创新研究中心

[3] 清华大学经济管理学院

来源：

科学学研究 | 2014年 / 32卷 / 03期

关键词：

专利技术价值; 相对评价; 专利向心引用网络; 结构指标; 蒙特卡罗模拟;

D O I：

10.16192/j.cnki.1003-2053.2014.03.019

中图分类号：

G306 [专利研究];

学科分类号：

摘要：

不同技术领域有不同的技术复杂性,同等的技术知识流可以产生不同的技术创新度。专利技术价值评估是目前创新管理和科学计量学领域共同面对的技术难题,其困境之一是缺乏指标间相互关系的研究。本研究对基于"专利向心引用网络"的专利结构指标与传统指标在映射专利技术价值方面的相关性进行了实证观察分析,并应用蒙特卡罗模拟,验证了研究结果的有效性。结果表明,这些结构指标可以对现实中专利技术价值的全面判断提供有意义参考。

引用

页码：343 / 351

页数：9

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