ICT R&D and Technology Knowledge Flows in Korea
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Woo-Jin | - |
dc.contributor.author | Lee, Sang-Yong Tom | - |
dc.date.accessioned | 2021-08-02T12:54:08Z | - |
dc.date.available | 2021-08-02T12:54:08Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-10 | - |
dc.identifier.issn | 1063-8016 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/16048 | - |
dc.description.abstract | This study measured the R&D outcomes of Korea's firms by analyzing the changes and patterns of technology knowledge flows and tried to see whether the outcomes of ICT R&D were better than those of non-ICT R&D. Using the registered patent data from 2008 and 2009, the authors computed the technology cycle time (TCT) and various centrality indexes with social network analysis (SNA), a popular method in patent citation analyses (PCA). In particular, the authors developed a technology spillover network and industry absorption network for the SNA. Having done these analyses, this study additionally conducted a confirmatory statistical test to compare ICT R&D with non-ICT R&D in terms of their performances. The authors found that Korea's ICT R&D has achieved higher levels of technology development speed, technology spillover and industry absorption when compared to non-ICT segments. The authors were also able to determine which particular ICT R&D is in an important position in terms of technology knowledge flows. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IGI GLOBAL | - |
dc.title | ICT R&D and Technology Knowledge Flows in Korea | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Sang-Yong Tom | - |
dc.identifier.doi | 10.4018/JDM.2018100103 | - |
dc.identifier.scopusid | 2-s2.0-85065058562 | - |
dc.identifier.wosid | 000467730000003 | - |
dc.identifier.bibliographicCitation | JOURNAL OF DATABASE MANAGEMENT, v.29, no.4, pp.51 - 69 | - |
dc.relation.isPartOf | JOURNAL OF DATABASE MANAGEMENT | - |
dc.citation.title | JOURNAL OF DATABASE MANAGEMENT | - |
dc.citation.volume | 29 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 51 | - |
dc.citation.endPage | 69 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Software Engineering | - |
dc.subject.keywordPlus | INNOVATION | - |
dc.subject.keywordAuthor | ICT R& | - |
dc.subject.keywordAuthor | D | - |
dc.subject.keywordAuthor | Industry Absorption Network | - |
dc.subject.keywordAuthor | Knowledge Flow | - |
dc.subject.keywordAuthor | Patent Citation Analyses (PCA) | - |
dc.subject.keywordAuthor | Social Network Analysis (SNA) | - |
dc.subject.keywordAuthor | Technology Cycle Time (TCT) | - |
dc.subject.keywordAuthor | Technology Spillover Network | - |
dc.identifier.url | https://www.igi-global.com/gateway/article/227037 | - |
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