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Anticipating technology-driven industry convergence: evidence from large-scale patent analysis

机译:预期技术驱动的行业融合:大规模专利分析的证据

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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.
机译:行业融合一直是许多先前研究的主题,但大多数都基于事后评估而集中于某些领域。这项研究提出了一种系统的方法,该方法使用涵盖所有技术领域的大规模专利分析来预测技术驱动的行业融合。我们的方法包括专利共分类分析,以及专利类别和工业部门之间的一致性,以衡量行业之间的技术关系;集中度和经纪分析,以确定技术领域在行业融合中的特定作用;最后将预测分析链接在一起,以预测技术驱动的行业融合。 1976年至2014年间对美国专利商标局发布的专利进行的案例研究证实,我们的方法为技术驱动的行业融合提供了全面且具有前瞻性的观点。

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