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Lee, Changyong
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dc.citation.endPage 34 -
dc.citation.startPage 25 -
dc.citation.title TECHNOVATION -
dc.citation.volume 79 -
dc.contributor.author Kim, Juram -
dc.contributor.author Kim, Seungho -
dc.contributor.author Lee, Changyong -
dc.date.accessioned 2023-12-21T19:45:02Z -
dc.date.available 2023-12-21T19:45:02Z -
dc.date.created 2018-10-15 -
dc.date.issued 2019-01 -
dc.description.abstract Technological convergence has been the subject of many previous studies, but most have focused on ex post evaluation using patent information. The value of predictive analysis and new data sources has thus seldom been addressed. This study proposes a systematic approach to anticipating technological convergence that can be used to guide organisations towards reacting in a timely manner to challenges posed by increasingly permeable technology boundaries. For this, a technological ecology network is constructed using direct and indirect hyperlinks extracted from the Wikipedia database, and link prediction methods are employed to develop three predictive indicators of technological convergence. A case of 3D printing technology confirms, with statistically significant outcomes, that the proposed approach enables a wide-ranging search for future converging technologies. The systematic process and quantitative outcomes of the proposed approach are expected to be valuable as a complementary tool for strategic decision making regarding emerging technologies in the era of open innovation. -
dc.identifier.bibliographicCitation TECHNOVATION, v.79, pp.25 - 34 -
dc.identifier.doi 10.1016/j.technovation.2018.06.008 -
dc.identifier.issn 0166-4972 -
dc.identifier.scopusid 2-s2.0-85049079770 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/25302 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S0166497216303881?via%3Dihub -
dc.identifier.wosid 000455065900003 -
dc.language 영어 -
dc.publisher ELSEVIER SCIENCE BV -
dc.title Anticipating technological convergence: Link prediction using Wikipedia hyperlinks -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Engineering, Industrial; Management; Operations Research & Management Science -
dc.relation.journalResearchArea Engineering; Business & Economics; Operations Research & Management Science -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Technological convergence -
dc.subject.keywordAuthor Predictive analysis -
dc.subject.keywordAuthor Link prediction -
dc.subject.keywordAuthor Wikipedia hyperlinks -
dc.subject.keywordAuthor Technological ecology network -
dc.subject.keywordPlus NANOTECHNOLOGY DEVELOPMENT -
dc.subject.keywordPlus DYNAMIC PATTERNS -
dc.subject.keywordPlus PATENT CITATIONS -
dc.subject.keywordPlus NETWORKS -
dc.subject.keywordPlus INDUSTRY -
dc.subject.keywordPlus TOOL -

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