Inter-cluster connectivity analysis for technology opportunity discovery
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Byunghoon | - |
dc.contributor.author | Gazzola,Gianluca | - |
dc.contributor.author | Lee,Jae-min | - |
dc.contributor.author | Kim, Dohyun | - |
dc.contributor.author | Kim,Kanghoe | - |
dc.contributor.author | Jeong, Myongkee | - |
dc.date.accessioned | 2021-06-23T01:22:51Z | - |
dc.date.available | 2021-06-23T01:22:51Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2014-03 | - |
dc.identifier.issn | 0138-9130 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/25419 | - |
dc.description.abstract | In today's competitive business environment, the timely identification of potential technology opportunities is becoming increasingly important for the strategic management of technology and innovation. Existing studies in the field of technology opportunity discovery (TOD) focus exclusively on patent textual information. In this article, we introduce a new method that tackles TOD via technology convergence, using both patent textual data and patent citation networks. We identify technology groups with high convergence potential by measuring connectivity between clusters of patents. From such technology groups we select pairs of core patents based on their technological relatedness, on their past involvement in convergence, and on the impact of their new potential convergence. We finally carry out TOD by extracting representative keywords from the text of the selected patent pairs and organizing them into the basic description of a new invention, which the potential convergence of the patent pair might produce. We illustrate our proposed method using a data set of U.S. patents in the field of digital information and security. © 2013 Akadémiai Kiadó, Budapest, Hungary. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Kluwer Academic Publishers | - |
dc.title | Inter-cluster connectivity analysis for technology opportunity discovery | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Byunghoon | - |
dc.identifier.doi | 10.1007/s11192-013-1097-2 | - |
dc.identifier.scopusid | 2-s2.0-84897573383 | - |
dc.identifier.wosid | 000331559800014 | - |
dc.identifier.bibliographicCitation | Scientometrics, v.98, no.3, pp.1811 - 1825 | - |
dc.relation.isPartOf | Scientometrics | - |
dc.citation.title | Scientometrics | - |
dc.citation.volume | 98 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1811 | - |
dc.citation.endPage | 1825 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Inter | - |
dc.relation.journalWebOfScienceCategory | disciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.subject.keywordPlus | PATENTS | - |
dc.subject.keywordPlus | TRENDS | - |
dc.subject.keywordAuthor | Technology opportunity | - |
dc.subject.keywordAuthor | Technology convergence | - |
dc.subject.keywordAuthor | Inter-cluster connectivity | - |
dc.subject.keywordAuthor | Patent citation network | - |
dc.subject.keywordAuthor | Keyword | - |
dc.subject.keywordAuthor | Core patent | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s11192-013-1097-2 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.