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

Author(s)
Kwon, OhjinAn, YoonjungKim, MyeongjungLee, Changyong
Issued Date
2020-04
DOI
10.1080/09537325.2019.1661374
URI
https://scholarworks.unist.ac.kr/handle/201301/27791
Fulltext
https://www.tandfonline.com/doi/full/10.1080/09537325.2019.1661374
Citation
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.32, no.4, pp.363 - 378
Abstract
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.
Publisher
Routledge
ISSN
0953-7325
Keyword (Author)
centrality and brokerage analysislink prediction analysispatent co-classification analysisTechnology-driven industry convergence

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