基于专利组合分析探索潜在研发合作伙伴:以生物传感器为例

Ming-Yeu Wang, Tzu-Fu Chiu, Wei-Ying Chen
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引用次数: 5

摘要

本研究的目的是建立一个改进专利组合分析的框架,以识别企业潜在的研发合作伙伴。提出的框架使用专利文件的关联分析来识别与所讨论的技术或产品相关的重要技术。设计了技术领域规模、相对技术优势和相对技术集成能力三个指标,绘制专利组合图。该图表可以显示企业重要的互补技术,为潜在的研发合作者提供有价值的建议。为了说明这一框架,本研究使用该框架来识别基于专利的生物传感器相关企业的潜在研发合作者。实验结果表明,该专利组合图能够正确定位生物传感器相关企业,清晰显示企业重要的互补技术。具有重要互补技术的企业是开展研发合作的好对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring potential R&D collaborators based on patent portfolio analysis: The case of biosensors
The purpose of this study is to develop a framework which modifies the patent portfolios analysis to identify potential R&D collaborators for enterprises. The proposed framework uses association analysis of patent documents to identify important technologies related to the technologies or products in question. This study also designs three indicators, namely technology field scale, relative technology advantage, and relative technological integration capability, to draw patent portfolio diagrams. The diagram can show the important complementary technologies for enterprises, providing valuable suggestions for potential R&D collaborators. To illustrate this framework, this study uses the framework to identify potential R&D collaborators for biosensor-related enterprises based on patents. Experimental results show that the patent portfolio diagrams can properly position biosensor-related enterprises and clearly show important complementary technologies for enterprises. Enterprises with important complementary technologies are good candidates for R&D collaboration.
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