[Purpose/significance] Research on the identification method of University transferable patents is positive significance to improve the quality of patent push and promote the docking of university scientific research and social economy. [Method/process] Firstly, based on the literature research, we tested and determined the quantifiable identification index of patents, and combined with Bayesian theory to screen university transferable patents preliminarily. Then, we used the multiple correlation coefficient and coefficient of variation combination weighting method to calculate the weight of each identification index, and calculated the weighted comprehensive transfer probability of the remaining patents. Finally, we identified transferable patents according to the comprehensive probability value. In addition, we used university patents in the field of medical configuration products to test the method. [Result/conclusion] We use Bayesian theory and combination weighting method to calculate the comprehensive probability of university transferable patents through preliminary screening and secondary identification, this identification process not only ensures the accuracy of the results, but also takes into account the limitation of university patent management resources, which builds a good foundation for improving the quality of patent push.
Han Meng
,
Wu Hong
,
Li Chang
,
Cui Zhe
,
Li Jianfei
. Identification of University Transferable Patent: Based on Bayesian Theory and Combination Weighting Method[J]. Library and Information Service, 2021
, 65(5)
: 118
-125
.
DOI: 10.13266/j.issn.0252-3116.2021.05.012
[1] 李志鹏,谢祥,肖尤丹.基于专利转让的"双一流"大学知识转化能力研究[J].数字图书馆论坛,2018(8):53-59.
[2] 国家知识产权局.2019年中国专利调查报告[EB/OL].[2020-07-12]. http://www.cnipa.gov.cn/docs/20200309165140567125.pdf.
[3] 郑思远,王学昭.专利转让视角下技术转移特征指标体系研究[J].图书情报工作,2020,64(7):94-102.
[4] 乔永忠,谭婉琳.专利权利要求数与维持时间关系实证研究——以中日授权专利数据为例[J].科学学与科学技术管理,2017,38(2):77-86.
[5] SCHETTINO F, STERLACCHINI A, VENTURINI F. Inventive productivity and patent quality:evidence from Italian inventors[J]. Journal of policy modeling,2013,35(6):1043-1056.
[6] MA X Y, XIE X, LI Z P, et al. Analysis on network structure and influencing factors of university patent transfer:an empirical study of patent transfer in universities of Beijing, Jiangsu, and Shanxi in 2016[J]. Science and technology management research, 2019,39(12):132-138.
[7] OLSON L J. Patent protection in the shadow of infringement:simulation estimations of patent value[J]. Review of economic studies,2010,65(4):671-710.
[8] 李小童,徐菲.高价值专利识别方法有效性实证研究[J].科技与法律,2019(1):11-17.
[9] 舒辉,高璐.专利和技术标准协同转化的模式[J].贵州省党校学报,2020(1):29-39.
[10] DAN P. Dulling the cutting-edge:how patent-related policies and practices hamper innovation in China[R]. Shanghai:European Chamber,2012:10-12.
[11] SCHETTINO F, STERLACCHINI A,VENTURINI F. Inventive productivity and patent quality:Evidence from Italian inventors[J]. Journal of Policy Modeling,2013,35(6):1043-1056.
[12] 赵蓉英,李新来,李丹阳.专利引证视角下的核心专利研究——以人工智能领域为例[J].情报理论与实践,2019,42(3):78-84.
[13] MARCO A C, JOSHUA D. Patent claims and patent scope[J]. Research policy,2019,48(9):1-51.
[14] PUTNAM J. The value of international patent rights[M]. New haven:Yale University,1996.
[15] SQUICCIARINI M, DERNIS H, CRISCUOLO C. Measuring patent quality:indicators of technological and economic value[J]. OECD Science, technology &industry working papers, 2013,3(6):69-91.
[16] BAKKER J. The log-linear relation between patent citations and patent value[J]. Scientometrics. 2017,110(2):1-14.
[17] 李春燕,石荣.专利质量指标评价探索[J].现代情报,2008(2):146-149.
[18] LV X R. Research on dynamic simulation method of patent value evaluation[J]. Science &technology progress & policy, 2017,34(3):117-122.
[19] 靳晓东.专利权价值评估方法述评与比较[J].中国发明与专利,2010(9):70-72.
[20] 周正柱,朱可超.知识产权价值评估研究最新进展与述评[J].现代情报,2015,35(10):174-177.
[21] NERKAR A, PARUCHURI S, KHAIRE M. Business method patents as real options:value and disclosure as drivers of litigation[J]. Advances in strategic management, 2007,24(1):247-274.
[22] 冉从敬,宋凯.高校可转化专利识别模型构建——以人工智能领域为例[J/OL].情报理论与实践:1-11[2020-07-01]. http://kns.cnki.net/kcms/detail/11.1762.G3.20200629.0820.002.html.
[23] ZHANG Y, QIAN Y, HUANG Y, et al. An entropy-based indicator system for measuring the potential of patents in technological innovation:rejecting moderation[J]. Scientometrics, 2017,111(3):1925-1946.
[24] PARK Y, LEE S, LEE S. Patent analysis for promoting technology transfer in multi-technology industries:the Korean aerospace industry case[J]. Journal of technology transfer, 2012,37(3):355-374.
[25] JAEHYUN C, DONGSIK J, SUNGHAE J, et al. A predictive model of technology transfer using patent analysis[J]. Sustainability, 2015,7(12):16175-16195.
[26] HYUNSEOK P, JASON J R, KWANGSOO K. Identification of promising patents for technology transfers using TRIZ evolution trends[J]. Expert systems with applications, 2013,40(2):736-743.
[27] CORNFIELD J. Bayes theorem[J]. Review of the international statistical institute, 1967,35(1):34-49.
[28] 国家知识产权局.专利导航试点工程工作手册[EB/OL].[2020-07-18]. http://www.cnipa.gov.cn/ztzl/zldhsdgc/zcwj1/1029189.htm.
[29] 张浩.基于产品与技术生命周期的科技成果转移模式研究[J].中国管理信息化,2018,21(21):140-141.
