This item is licensed Korea Open Government License
dc.contributor.author
권오진
dc.contributor.author
이창용
dc.contributor.author
김명중
dc.contributor.author
안윤정
dc.date.accessioned
2022-03-30T01:44:26Z
dc.date.available
2022-03-30T01:44:26Z
dc.date.issued
2019-08-30
dc.identifier.issn
0953-7325
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16621
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.language.iso
eng
dc.publisher
Carfax Pub. Co
dc.relation.ispartofseries
Technology analysis & strategic management;
dc.title
Anticipating technology-driven industry convergence: evidence from large-scale patent analysis