基于技术知识冗余的结构化技术定位方法─专利引文网络视角

Q3 Engineering
Horng-Jinh Chang, Hsueh-Chen Chen, Yu-Hsin Chang, Vimal Kumar, Chien-Yu Lin, Yi-Ru Lee
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引用次数: 5

摘要

本研究以云计算产业的专利引文为基础,探讨企业在技术网络中的相对地位。它集成了PCA与专利族,以获得一个完整的数据集,为以后的分析。之后,PCN中的技术知识冗余有TKS/TKR指标进行分析。此外,专利转移前后技术地位的变化揭示了三种专利获取策略,即通过增强壁垒来巩固立足点、为非执业实体提供现金牛、为外围和新进入者提供捷径。专利转移后,更多的企业在技术网络中占据了高位和低位,获得了丰富和减少的资源。这一事实揭示了技术转让中不变的二分法。为了在技术行业中获得较高的地位并获得合作机会,技术领域的边缘或新进入者需要获得具有高TKS/TKR的专利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Structured Approach to Locate the Technological Position by Technology Knowledge Redundancy ─Patent Citation Network Perspective
This study approaches the relative position of a company in technological network based on patent citation of the cloud computing industry. It integrates the PCA with the patent family to obtain a complete data set for later analysis. After that, the Technology Knowledge Redundancy in the PCN has TKS/TKR indicators for analysis. Moreover, the changes in the technological positions before and after patent transfer revealed three patent acquisition strategies namely: strengthening foothold by enhancing barriers, a cash cow for non- practicing entities (NPE), and a shortcut for peripheral and new entrants. After patent transfer, more companies obtained high and low positions in the technological network and gained abundant and decreased resources. This fact reveals that the unchanged dichotomy in technological transfer. In order to obtain high positions in the technology industry and gain cooperation opportunities, marginal or new entrants of the technological field would need to acquire patents with high TKS/TKR.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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