商标
趋同(经济学)
专利分析
中心性
技术融合
产业组织
比例(比率)
业务
技术预测
技术进化
透视图(图形)
符号收敛理论
经济
计算机科学
营销
数据科学
钥匙(锁)
电信
经济增长
数学
计算机安全
人工智能
操作系统
组合数学
物理
量子力学
作者
Oh-Jin Kwon,Yoonjung An,Myeongjung Kim,Chang‐Yong Lee
标识
DOI:10.1080/09537325.2019.1661374
摘要
Industry convergence has been the subject of many prior studies, yet most have focused on certain domains based on ex post evaluation. This study presents a systematic approach to anticipating technology-driven industry convergence using large-scale patent analysis covering all technology fields. Our approach includes patent co-classification analysis with the concordance between patent classes and industrial sectors to measure technological relations between industries; centrality and brokerage analysis to identify the specific roles of technology fields in industry convergence; and finally link prediction analysis to anticipate technology-driven industry convergence. A case study with the patents issued by the United States Patent and Trademark Office from 1976 to 2014 confirms that our approach provides a holistic and forward-looking perspective on technology-driven industry convergence.
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