高校专利可转化性与转化金额影响因素对比研究及其对高校专利分级管理的启示

魏太琛; 刘敏榕; 陈振标

doi:10.13266/j.issn.2095-5472.2023.008

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知识管理论坛 ›› 2023, Vol. 8 ›› Issue (2) : 92-103. DOI: 10.13266/j.issn.2095-5472.2023.008

学术探索

高校专利可转化性与转化金额影响因素对比研究及其对高校专利分级管理的启示

魏太琛 ¹^,² ,
刘敏榕 ¹^,² ,
陈振标 ¹^,²

作者信息 +

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 +

文章历史 +

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。

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.

导出引用

魏太琛 , 刘敏榕 , 陈振标. 高校专利可转化性与转化金额影响因素对比研究及其对高校专利分级管理的启示[J]. 知识管理论坛. 2023, 8(2): 92-103 https://doi.org/10.13266/j.issn.2095-5472.2023.008

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

中图分类号： G306

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