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Lee, Changyong
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dc.citation.endPage 378 -
dc.citation.number 4 -
dc.citation.startPage 363 -
dc.citation.title TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT -
dc.citation.volume 32 -
dc.contributor.author Kwon, Ohjin -
dc.contributor.author An, Yoonjung -
dc.contributor.author Kim, Myeongjung -
dc.contributor.author Lee, Changyong -
dc.date.accessioned 2023-12-21T17:44:45Z -
dc.date.available 2023-12-21T17:44:45Z -
dc.date.created 2019-09-27 -
dc.date.issued 2020-04 -
dc.description.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. -
dc.identifier.bibliographicCitation TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.32, no.4, pp.363 - 378 -
dc.identifier.doi 10.1080/09537325.2019.1661374 -
dc.identifier.issn 0953-7325 -
dc.identifier.scopusid 2-s2.0-85071390125 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/27791 -
dc.identifier.url https://www.tandfonline.com/doi/full/10.1080/09537325.2019.1661374 -
dc.identifier.wosid 000484336100001 -
dc.language 영어 -
dc.publisher Routledge -
dc.title Anticipating technology-driven industry convergence: evidence from large-scale patent analysis -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Management; Multidisciplinary Sciences -
dc.relation.journalResearchArea Business & Economics; Science & Technology - Other Topics -
dc.type.docType Article -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor centrality and brokerage analysis -
dc.subject.keywordAuthor link prediction analysis -
dc.subject.keywordAuthor patent co-classification analysis -
dc.subject.keywordAuthor Technology-driven industry convergence -

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