Cited time in webofscience Cited time in scopus

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dc.contributor.author Yun, Jinhyo Joseph -
dc.contributor.author Jeong, Euiseob -
dc.contributor.author Kim, Sangwoo -
dc.contributor.author Ahn, Heungju -
dc.contributor.author Kim, Kyunghun -
dc.contributor.author Hahm, Sung Deuk -
dc.contributor.author Park, Kyungbae -
dc.date.accessioned 2021-07-26T20:02:33Z -
dc.date.available 2021-07-26T20:02:33Z -
dc.date.created 2021-05-25 -
dc.date.issued 2021-07 -
dc.identifier.issn 0971-7218 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13893 -
dc.description.abstract This study aims to answer the following research question: Is there any difference in the effects of collective intelligence on the open innovation between before (2001–2005) and after (2011–2015) of the introduction of smartphones and crowd web services regarding electronics and mathematics? The research method of this study includes multiple regression analysis, including (1) the effect of collective intelligence on open innovation (i.e., the number of citations), (2) the effect of the amount of knowledge (i.e., the number of references) on open innovation and (3) the moderating effect of the amount of knowledge (i.e., the number of references) between collective intelligence and open innovation. The research scope of this study is Scopus published papers from two periods, namely, 2001–2005 and 2011–2015. The scope here is limited to mathematics and electronics. According to the research conducted here, if the amount of knowledge increases in an economic system, collective intelligence will increasingly motivate open innovation. The implication of this study is that there are diverse methods for collective intelligence to impact open innovation and the consequent results. © 2021 SAGE Publications. -
dc.language English -
dc.publisher Sage Publications India Pvt Ltd. -
dc.title Collective Intelligence: The Creative Way from Knowledge to Open Innovation -
dc.type Article -
dc.identifier.doi 10.1177/09717218211005604 -
dc.identifier.wosid 000649335400001 -
dc.identifier.scopusid 2-s2.0-85105427363 -
dc.identifier.bibliographicCitation Science, Technology and Society, v.26, no.2, pp.201 - 222 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Collective intelligence -
dc.subject.keywordAuthor electronics -
dc.subject.keywordAuthor moderating effects -
dc.subject.keywordAuthor open innovation -
dc.subject.keywordAuthor platform -
dc.subject.keywordAuthor mathematics -
dc.citation.endPage 222 -
dc.citation.number 2 -
dc.citation.startPage 201 -
dc.citation.title Science, Technology and Society -
dc.citation.volume 26 -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Business & Economics -
dc.relation.journalWebOfScienceCategory Management -
dc.type.docType Article -
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Appears in Collections:
Department of Liberal Arts and Sciences 1. Journal Articles
Division of AI, Big data and Block chain 1. Journal Articles

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