摘要
[目的/意义]对比研究高校专利可转化性与转化金额影响因素差异,是正确认识高校专利转化潜力、对专利进行转化前景进行预测和科学分级管理的前提,同时可以提升高校专利转化效率和精准度。[方法/过程]以含有实际成交金额信息的高校转化专利样本和匹配的非转化样本为研究数据,基于同一套指标体系,分别采用多元线性回归和二元logistic回归模型对比研究高校专利可转化性与转化金额之间影响因素的差异。[结果/结论]高校专利可转化性与转化金额的影响因素差异较大,仅文献页数、专利引证数影响关系一致,其余7个指标均不一致;体现专利法律稳定性的指标对高校专利可转化性具有更加显著的促进作用,而体现专利申请时人力、物力、财力投入的指标对提高高校专利转化金额的促进作用更强;从专利可转化性与转化金额预测值两个维度构建的专利四象限分级管理模型可以让高校专利分级管理工作更具针对性。
[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.
作者
魏太琛
刘敏榕
陈振标
Wei Taichen;Liu Minrong;Chen Zhenbiao(National Intellectual Property Information Service Center,Fuzhou University,Fuzhou 350108;Fuzhou University Library,Fuzhou 350108)
出处
《知识管理论坛》
2023年第2期92-103,共12页
Knowledge Management Forum
基金
福建省市场监督管理局科技项目“面向专利转化的知识产权信息公共服务方法及对策研究”(项目编号:FJMS2021025)研究成果之一
关键词
高校专利可转化性
转化金额
四象限
分级管理
university patent transformation
amount of transformation
four-quadrant
classification
management
