A Comparative Study on Influencing Factors between University Patent Transformation and Amount of Transformation and Its Implications for Patents Classification Management in Universities

Wei Taichen; Liu Minrong; Chen Zhenbiao

doi:10.13266/j.issn.2095-5472.2023.008

PDF(1268 KB)

Knowledge Management Forum ›› 2023, Vol. 8 ›› Issue (2) : 92-103. DOI: 10.13266/j.issn.2095-5472.2023.008

A Comparative Study on Influencing Factors between University Patent Transformation and Amount of Transformation and Its Implications for Patents Classification Management in Universities

Wei Taichen ¹^,² ,
Liu Minrong ¹^,² ,
Chen Zhenbiao ¹^,²

Author information +

History +

Abstract

[Purpose/Significance] Comparing and studying the difference between the factors affecting university patent transformation and amount of transformation is the premise of correctly understanding the transformation potential of university patents, predicting the transformation prospects of patents, and conducting scientific classification management in universities, which can improve the efficiency and accuracy of university patent transformation. [Method/Process] Based on the same set of index system, multiple linear regression and binary logistical regression models are built to study the influencing factors between university patent transformation and amount of transformation, using transformation patent sample as research data, which contained actual transaction amount information. [Result/Conclusion] The influencing factors between university patent transformation and amount of transformation are quite different. Only the document pages and the number of patent citations have the same influence relationship, and the other seven indicators are inconsistent. The indicators reflecting the legal stability of the patent have a more significant role in promoting the transformation of university patents, while the indicators reflecting the input of man-power, material resources, financial resources have a stronger role in increasing the amount of patent transformation in universities. The four-quadrant classification management model constructed from the two dimensions of patent transformation probability and transformation amount forecast value make the patent classification management work in universities more targeted.

Key words

university patent transformation / amount of transformation / four-quadrant / classification management

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Wei Taichen , Liu Minrong , Chen Zhenbiao. A Comparative Study on Influencing Factors between University Patent Transformation and Amount of Transformation and Its Implications for Patents Classification Management in Universities[J]. Knowledge Management Forum. 2023, 8(2): 92-103 https://doi.org/10.13266/j.issn.2095-5472.2023.008

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	国家知识产权局知识产权发展研究中心.2020年中国专利调查报告[EB/OL].[2022-10-24].https://www.cnipa.gov.cn/art/2021/4/28/art_88_158969. https://www.cnipa.gov.cn/art/2021/4/28/art_88_158969 Cited in this article [1]

[2]	吴红,马永新,董坤,等.高校专利分级管理实现的障碍及对策研究[J].图书情报工作,2016,60(2):59-63. Cited in this article [1]

[3]	CHOI J H，JANG D S，JUN S H．A predictive model of technology transfer using patent analysis［J］.Sustainability，2015，7(12):16175-16195． Cited in this article [1]

[4]	ILYONG J, HYUNG J L, TAEYOUNG P. Exploring potential users of patents for technology transfer: Utilizing patent citation data[J]. Procedia computer science,2016,91(6)：211-220. Cited in this article [1]

[5]	陈静,张更平,慎金花.专利技术特征与高校专利转移间关系的实证研究——基于42所一流高校的样本分析[J].中国高校科技,2021(6):80-83. Cited in this article [1]

[6]	李睿,范九江.高校专利可转化性与其文献计量特征相关性研究[J].科技进步与对策,2021,38(17):43-50. Cited in this article [1]

[7]	吴红,李剑飞,崔哲,等.基于专利文献的高校专利可转移性特征研究[J].情报杂志,2021,40(9):187-194. Cited in this article [1]

[8]	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. Cited in this article [1]

[9]	PARK H, REE J J, KIM K. Identification of promising patents for technology transfers using TRIZ evolution trends[J]. Expert systems with applications,2013,40(2)：736-743. Cited in this article [1]

[10]	韩盟,吴红,李昌,等.高校可转移专利识别研究——基于贝叶斯理论和组合赋权法[J].图书情报工作,2021,65(5):118-125. Cited in this article [1]

[11]	肖国华,王江琦,魏剑.我国专利技术转移评价指标设计及应用研究[J].情报科学,2013,31(3):107-112. Cited in this article [1]

[12]	冉从敬,宋凯.高校可转化性专利识别模型构建——以人工智能领域为例[J].情报理论与实践,2020,43(11):79-85. Cited in this article [1]

[13]	FISCHER T, LEIDINGER J. Testing patent value indicators on directly observed patent value—an empirical analysis of ocean tomo patent auctions[J].Research policy，2014,43(3):519-529. Cited in this article [3]

[14]	魏太琛,刘敏榕,陈振标.高校专利技术转移转化价值影响因素实证分析——基于11所一流高校专利转移转化数据[J].图书情报工作, 2022, 66(9):103-116. Cited in this article [1]

[15]	李曦.专利技术转让合同中专利技术交易金额与专利要素之间的相关性研究[J].中国发明与专利,2021,18(5):38-45. Cited in this article [1]

[16]	周雷.专利发明人对专利价值的影响研究——以中国科学院2018年3月专利拍卖为例[J].文献与数据学报,2020,2(4):70-83. Cited in this article [1]

[17]	钱坤,张晓,黄忠全.交易情景下专利价值影响因素分析[J].科学学研究,2020,38(9):1608-1620. Cited in this article [1]

[18]	SAPSALIS E, RAN N. Academic versus industry patenting: an in-depth analysis of what determines patent value[J]. Research policy,2006,35(10):1631-1645.

[19]	MARCO A C, SARNOFF J D, CHARLES A W. Patent claims and patent scope[J]. Research policy,2019,48(9):103790-103799. Cited in this article [1]

[20]	施晴,王芸,徐宏,等.基于专利转化的高校生物医药专利质量评价研究[J].科技管理研究,2019,39(11):139-145.

[21]	孙玉涛,栾倩.专利质量测度“三阶段—两维度”模型及实证研究——以C9联盟高校为例[J].科学学与科学技术管理,2016,37(6):23-32.

[22]	李黎明,张敏,李小娟.引证网络专利质量对专利拍卖经济价值的影响效应研究[J].情报杂志,2021,40(10):115-121.

[23]	OG J Y A, PAWELEC K B, KIM B, et al. Measuring patent value indicators with patent renewal information(Article)[J].Journal of open innovation: technology, market, and complexity,2020,6(1):16-27.

[24]	张俊艳,赵薇,雷玲.合作创新能否提升专利质量？——基于PSM与回归分析的实证研究[J].天津大学学报(社会科学版),2020,22(3):246-253.

[25]	ZEEBROECK N, POTTELSBERGHE B, DOMINIQUE G. Claiming more: the increased voluminosity of patent applications and its determinants[J]. Research policy,2009,38(6):1006-1020. Cited in this article [1]

[26]	IVAN D N,LUIGI O,FIORENZA B. The role of collaborative networks in supporting the innovation performances of lagging－behind European regions[J].Research policy,2018,47(1):1-13．

[27]	HIKKEROVA L, KAMMOUN N, LANTZ J S. Patent life cycle: new evidence[J].Technological forecasting and social change,2014,88(4): 313-324. Cited in this article [1]

[28]	蔡中华,侯翱宇,马欢.专利维持时间影响因素的实证研究[J].科技管理研究,2015,35(21):160-163. Cited in this article [1]

[29]	CREMERS K.Settlement during patent litigation trials-An empirical analysis for Germany[J]. Journal of technology transfer,2009,34(2)：182-195. Cited in this article [1]

[30]	CAVIGGIOLI F．Technology fusion: identification and analysis of the drivers of technology convergence using patent data［J］．Technovation，2016，55(6):22-32． Cited in this article [1]