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DC Field | Value | Language |
---|---|---|
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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