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Cited 34 time in webofscience Cited 37 time in scopus
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Identifying the structure of knowledge networks in the US mobile ecosystems: patent citation analysis

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dc.contributor.authorLee, Sanghoon-
dc.contributor.authorKim, Wonjoon-
dc.contributor.authorLee, Hakyeon-
dc.contributor.authorJeon, Jeonghwan-
dc.date.accessioned2022-12-26T20:17:37Z-
dc.date.available2022-12-26T20:17:37Z-
dc.date.issued2016-04-20-
dc.identifier.issn0953-7325-
dc.identifier.issn1465-3990-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/15532-
dc.description.abstractWith the emergence of smartphones, the paradigm of the mobile ecosystem has changed rapidly. In particular, global mobile firms focus on technological competition when jostling for market position in recognition of the strategic need to secure a strong mobile platform. In this paper, we analyse the network structure of technological knowledge flows in mobile ecosystems using US patent citation information. We find that two subsectors, platform providers and application and software providers, are at the centre of knowledge exchange activity and play a brokerage role as the key knowledge mediator. Then, we categorise mobile firms into five different groups based on the patterns of their network centrality: knowledge keystone players, knowledge-distributing mediators, knowledge-absorbing mediators, catch-up players, and pure knowledge receivers. The categorisation of firms demonstrates that knowledge flows in the mobile industry converge towards a few leading firms, and such patterns are shaping the mobile ecosystem with respect to technological knowledge. The firms categorised as catch-up players have played a brokerage role within their group, while the firms categorised as knowledge keystone players play a brokerage role across different groups.-
dc.format.extent24-
dc.language영어-
dc.language.isoENG-
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD-
dc.titleIdentifying the structure of knowledge networks in the US mobile ecosystems: patent citation analysis-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1080/09537325.2015.1096336-
dc.identifier.scopusid2-s2.0-84958184995-
dc.identifier.wosid000370983200003-
dc.identifier.bibliographicCitationTECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.28, no.4, pp 411 - 434-
dc.citation.titleTECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT-
dc.citation.volume28-
dc.citation.number4-
dc.citation.startPage411-
dc.citation.endPage434-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryManagement-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusTECHNOLOGICAL-CHANGE-
dc.subject.keywordPlusCONVERGENCE EVIDENCE-
dc.subject.keywordPlusVALUE CHAINS-
dc.subject.keywordPlusINDUSTRY-
dc.subject.keywordPlusKOREA-
dc.subject.keywordPlusCENTRALITY-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusTAIWAN-
dc.subject.keywordPlusSTATISTICS-
dc.subject.keywordPlusINDICATORS-
dc.subject.keywordAuthorknowledge flows-
dc.subject.keywordAuthormobile ecosystem-
dc.subject.keywordAuthornetwork analysis-
dc.subject.keywordAuthorBrokerage measurement-
dc.subject.keywordAuthorpatent citation-
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