图书情报工作

图书情报工作 >

2020 , Vol. 64 >Issue 7: 94 - 102

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.07.011

情报研究

专利转让视角下技术转移特征指标体系研究

  • 郑思远 ,
  • 王学昭
展开
  • 1 中国科学院文献情报中心 北京 100190;
    2 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190
郑思远(ORCID:0000-0001-5522-9230),硕士研究生。

收稿日期: 2019-09-18

  修回日期: 2019-12-16

  网络出版日期: 2020-04-05

基金资助

本文系中国科学院战略研究和决策支持专项颠覆性技术研究——生命科学领域（项目编号：GHL-ZLZX-2018-41）和知识产权信息传播利用效能提升项目（国家知识产权局）（项目编号：横1923）研究成果之一。

收起

Research on Technology Transfer Characteristics Indicator System from the Perspective of Patent Transfer Information

  • Zheng Siyuan ,
  • Wang Xuezhao
Expand
  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190

Received date: 2019-09-18

  Revised date: 2019-12-16

  Online published: 2020-04-05

Fold

摘要

[目的/意义] 构建技术转移特征指标体系，提前识别具有应用潜力的专利，为专利技术转移提供信息支撑，促进技术成果转移转化。[方法/过程] 基于专利转让行为的客观事实信息，界定转让和未转让数据集，分析比对两者特征差异，构建技术、法律、市场、主体4个维度的基于专利文献自身的技术转移特征指标体系，并进行指标统计学检验以及实证模型检验。[结果/结论] 基于专利文献自身的基础特征指标能够预判技术转移，各指标影响程度相对均衡且不存在主导性指标。实证SVM模型检验该指标体系的预测效度，初步实现能够应用于国家/地区层面、机构层面、专利个体层面的技术转移特征指标体系的构建与检验，该方法具有实用性。

关键词： 专利转让; 技术转移; 专利预测; 情报分析; SVM

本文引用格式

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 . DOI: 10.13266/j.issn.0252-3116.2020.07.011

Abstract

[Purpose/significance] This paper intends to construct a technology transfer characteristics indicator system to provide information supporting for patent technology transfer, help to identify patents with potential application in advance, and promote the transfer of scientific and technological achievements. [Method/process] This paper based on patent transfer behavior which has already happened. First, we defined the transferred and not transferred datasets, and analyzed the differences between two datasets. Then we constructed the technological transfer characteristic indicator system based on the patent documents at 4 perspectives of technology, law, market and subject. Finally, we conducted statistical tests and empirical model tests. [Result/conclusion] The basic characteristic indicators based on the patent documents can predict technology transfer, and the impact degree of each indicator is relatively balanced and there is no dominant indicator. The predictive effect of the indicator system was tested by the SVM model, which showed that it could be applied to national level, organization level and patent level analysis.

Key words： patent assignment; technology transfer; patent prediction; intelligence analysis; SVM

参考文献

[1] 侯剑华,朱晓清. 基于专利的技术预测评价指标体系及其实证研究[J]. 图书情报工作, 2014, 58(18):77-82, 116.
[2] DAHLBORG C, LEWENSOHN D, DANELL R, et al. To invent and let others innovate:a framework of academic patent transfer modes[J]. Journal of technology transfer, 2017, 42(3):538-563.
[3] 王丽丹. 美国高校专利产出及转化研究[D].天津:天津大学, 2016.
[4] 科技部.中华人民共和国促进科技成果转化法(2015年修订)[EB/OL].[2019-10-13].http://www.most.gov.cn/fggw/fl/201512/t20151203_122619.htm.
[5] LIU C H. The effects of innovation alliance on network structure and density of cluster[J]. Expert systems with applications, 2011, 38(1):299-305.
[6] 温芳芳. 基于专利计量的区域间技术合作网络研究[J]. 情报杂志, 2013, 32(11):32-36.
[7] LIU M, MA Y, LIU Z, et al. An IUR evolutionary game model on the patent cooperate of Shandong China[J]. Physica a:statistical mechanics and its applications, 2017, 475(1):11-23.
[8] TRAJTENBERG M. A penny for your quotes:patent citations and the value of innovations[J]. The rand journal of economics, 1990, 21(1):172-187.
[9] JAFFE A B, TRAJTENBERG M, HENDERSON R. Geographic localization of knowledge spillovers as evidenced by patent citations[J]. The quarterly journal of economics, 1993, 108(3):577-598.
[10] JAFFE A B, TRAJTENBERG M. International knowledge flows:evidence from patent citations[J]. Economics of innovation & new technology, 1999, 8(1/2):105-136.
[11] EITO-BRUN R. Knowledge dissemination patterns in the information retrieval industry:a case study for automatic classification techniques[J]. World patent information, 2014, 39(12):50-57.
[12] JI I,LIM H,PARK T Y. Exploring potential users of patents for technology transfer:utilizing patent citation data[J]. Procedia computer science, 2016, 91:211-220.
[13] PARK H,YOON J,KIM K. Using function-based patent analysis to identify potential application areas of technology for technology transfer[J]. Expert systems with applications, 2013, 40(13):5260-5265.
[14] FALLAH M H, FISHMAN E, REILLY R R. Forward patent citations as predictive measures for diffusion of emerging technologies[C]//Portland international conference on management of engineering & technology. Portland:IEEE, 2009:420-427.
[15] BOZEMAN B. Technology transfer and public policy:a review of research and theory[J]. Research policy, 2000, 29(4/5):627-655.
[16] SERRANO C J. The dynamics of the transfer and renewal of patents[J]. The RAND journal of economics, 2010, 41(4):686-708.
[17] XIE Y, TAKALA J, LIU Y, et al. A combinatorial optimization model for enterprise patent transfer[J]. Information technology & management, 2015, 16(4):327-337.
[18] MADEIRA L S,BORSCHIVER S,PEREIRA N. On the assignment of biopharmaceutical patents[J]. Technological forecasting & social change, 2013, 80(5):932-943.
[19] 张雅群,陈益君,陈会贤. 专利视角下高校知识产权发展现状与趋势研究——以九校联盟为例[J]. 图书馆研究与工作, 2017(5):64-68.
[20] 杨浩明,樊凌雯,张保彦,等. 全球和中国橡胶机械产业专利情报分析[J]. 情报杂志, 2014, 33(6):53-58.
[21] 任龙,姜学民,傅晓晓. 基于专利权转移的中国区域技术流动网络研究[J]. 科学学研究, 2016, 34(7):993-1004.
[22] 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.
[23] 唐翌.网络互惠性对高校跨区域技术转移绩效的影响研究[D].合肥:中国科学技术大学, 2017.
[24] 徐庆富,康旭东,杨中楷,等. 基于专利权转让的我国省际技术转移特征研究[J]. 情报杂志, 2017, 36(7):66-72.
[25] 吴小璐,肖诗鹰. 医药企业与科研单位专利转让合作方式探讨[J]. 中国中医药信息杂志, 2005, 12(2):105-106.
[26] 武玉英,张博闻,何喜军,等. 新能源领域专利转让网络中技术供需主体间交易机会预测[J]. 情报杂志, 2018, 37(5):79-84, 96.
[27] 国家知识产权局专利管理司. 专利价值分析指标体系操作手册[M]. 北京:知识产权出版社, 2012.
[28] 朱月仙,张娴,李姝影,等.国内外专利产业化潜力评价指标研究[J].图书情报工作,2015,59(1):127-133.
[29] LANJOUW J O, SCHANKERMAN M. Patent quality and research productivity:measuring innovation with multiple indicators[J]. The economic journal, 2004, 114(495):441-465.
[30] LERNER J. The importance of patent scope:an empirical analysis[J]. The RAND journal of economic, 1994, 25(2):319-333.
[31] ALBERT M B, AVERY D, NARIN F, et al. Direct validation of citation counts as indicators of industrially important patents[J]. Research policy, 1991, 20(3):251-259.
[32] HARHOFF D, NARIN F, SCHERER F M, et al. Citation frequency and the value of patented inventions[J]. Review of economics and statistics, 1999, 81(3):511-515.
[33] HARHOFF D, SCHERER F M, VOPEL K. Citation, family size, opposition and the value of patent rights[J]. Research policy, 2003, 32(8):1343-1363.
[34] 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.
[35] TONG X, FRAME J D. Measuring national technological performance with patent claims data[J]. Research policy, 1994, 23(2):133-141.
[36] SCHANKERMAN M, PAKES A. Estimates of the value of patent rights in European countries during the post-1950 period[J]. The economic journal, 1986, 96(384):1052-1076.
[37] MORICO P R.生物技术专利诉讼:美国专利诉讼的下一个前沿阵地[J].《科技与法律》, 译.科技与法律,2018(4):1-10.
[38] PUTNAM J. The value of international patent rights[D]. Connecticut:Yale University, 1996.
[39] FINI R, LACETERA N, SHANE S. Inside or outside the IP system? Business creation in academia[J]. Research policy, 2010, 39(8):1060-1069.
[40] LIBSVM[EB/OL].[2019-06-13].https://www.csie.ntu.edu.tw/~cjlin/libsvm/.
[41] 罗文馨.专利引文测度指标的时间影响及修正研究[D].北京:中国科学院大学, 2019.
Options
文章导航

/

〈 〉