Identifying potential technological spin-offs using hierarchical information in international patent classification
Identifying potential technological spin-offs using hierarchical information in international patent classification
复制标题
DOI：
10.1016/j.technovation.2020.102192
复制
发表时间：
2020-11
期刊：
影响因子：
12.5
通讯作者：
H. Sasaki;I. Sakata
中科院分区：
文献类型：
--
作者：
H. Sasaki;I. Sakata
随着技术之间的关系变得更加复杂，技术融合正在许多领域发生，导致技术附带利益，其中诞生于一个行业的技术被用于意想不到的领域。这些事件的预测，如专利引文分析和国际专利分类（IPC）的关联分析，提出了一种方法。之前的研究没有考虑到技术的分层结构。在这项研究中，我们提出了一个假设的共现网络在多个技术层使用IPC的层次信息，以表明不同层次的功能可以有助于预测性能和解释。从Thomson Innovation专利数据库中提取了碳纤维增强塑料和功能梯度材料的专利信息，并进行了案例研究。结果表明，分类模型的F1测度大于0.94，回归模型的校正R2大于0.73。关键的公共IPC的存在，发生在与分拆预测目标不同的层，使我们能够识别每个特定示例背后的技术融合。查明和预测技术附带利益可有助于研究和发展战略以及发展潜在的商业伙伴。
As the relationships among technologies become more complex, technological convergence is occurring in many fields, resulting in technological spin-offs in which technologies born in an industry are used in unexpected fields. Predictions of these events, such as patent citation analysis and International Patent Classification's (IPC) association analysis, are used to propose a method. Previous studies have not taken into account the hierarchical structure of technologies. In this study, we propose a hypothetical co-occurrence network in multiple technology layers using IPC's hierarchical information to show that features of different hierarchies can contribute to predictive performance and interpretation. Patent information on carbon fiber reinforced plastics and functionally graded material is extracted from patent database, Thomson Innovation, for a case study. The results show that an F1 measure of classification model exceed 0.94 and an adjusted R2of regression model exceed 0.73. The existence of key common IPCs, which occurred in a different layer than the spin-off prediction target, allowed us to identify the technology fusion behind each specific example. The identification and prediction of technological spin-offs can contribute to research and development strategies and the development of potential business partners.