DC Field | Value | Language |
---|---|---|
dc.contributor.author | 곽기호 | ko |
dc.contributor.author | 김보원 | ko |
dc.contributor.author | 조현 | ko |
dc.date.accessioned | 2013-03-13T05:09:27Z | - |
dc.date.available | 2013-03-13T05:09:27Z | - |
dc.date.created | 2013-01-09 | - |
dc.date.created | 2013-01-09 | - |
dc.date.issued | 2012-09 | - |
dc.identifier.citation | Communications for Statistical Applications and Methods, v.19, no.5, pp.731 - 741 | - |
dc.identifier.issn | 2287-7843 | - |
dc.identifier.uri | http://hdl.handle.net/10203/104532 | - |
dc.description.abstract | The Korean film industry has grown fast since the 2000s in terms of entering the 50% market share level, the emergence of 10million box-office movies and export performance improvement; however, the earning rate of production and investment part has decreased and recorded a minus value since 2005. This article aims to find key the determinants for the success of Korean movies from 2001~2006, a period of high growth and success of the Korean film industry through a multiple regression analysis. This paper introduces new determinants such as the interaction effect of the director and lead actor as well as mass culture codes. Finally, the authors suggest some proposals to make the Korean Film Industry more profitable. | - |
dc.language | Korean | - |
dc.publisher | 한국통계학회 | - |
dc.title | Determinants for Korean Film Success: Reflection of Mass Culture Code and the Interaction Effect of Director and Actor | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 731 | - |
dc.citation.endingpage | 741 | - |
dc.citation.publicationname | Communications for Statistical Applications and Methods | - |
dc.identifier.kciid | ART001700346 | - |
dc.contributor.localauthor | 김보원 | - |
dc.contributor.nonIdAuthor | 곽기호 | - |
dc.contributor.nonIdAuthor | 조현 | - |
dc.subject.keywordAuthor | Korean film industry | - |
dc.subject.keywordAuthor | determinants for success | - |
dc.subject.keywordAuthor | multiple regression model. | - |
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