Full metadata record
DC FieldValueLanguage
dc.contributor.author江佳霖en_US
dc.contributor.authorChiang, Chia-Linen_US
dc.contributor.author李秀珠en_US
dc.contributor.authorLi, Shu-Chuen_US
dc.date.accessioned2014-12-12T01:19:35Z-
dc.date.available2014-12-12T01:19:35Z-
dc.date.issued2006en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009041503en_US
dc.identifier.urihttp://hdl.handle.net/11536/39624-
dc.description.abstract本論文採取電視消費與認同的理論角度,從閱聽人的角度出發,檢視閱聽人價值觀與收視韓劇之間的關連性。研究主要使用電話調查法以及相應的量化統計方式驗證收視行為與閱聽人價值觀之間的關連性,而經由內容分析法以及深度訪談法所得到的資料一同應用在研究討論之中。研究發現,在台灣收率高的韓劇最常出現的價值觀,包括向上、家族、權威、自卑與集團價值等,與觀眾的收視意願、收視行為、價值觀認同的收視動機和對韓劇重視的情感有密切的正向關連;在台灣收率高的韓劇次常出現的價值觀,包括人情義理、隱蔽及權威等價值,則與觀眾儀式性陪伴的收視動機、與韓劇相關的周邊消費行為和發揮影響力影響他人一同消費韓劇有密切的正向關連。zh_TW
dc.description.abstractThis study examined the relationship between personal value system and television viewing on the viewers of Korean Dramas in Taiwan. Four research methods—telephone interviews, content analysis, focus groups, and intensive interviews—were adopted to collect data for this study. The data analysis shows that the most frequently appearing values are upward mobility, family, authority, inferior and groups, which have positive relationships with viewing motives, viewing frequency, and viewing pleasure of Korean Dramas. The findings of the study suggest that the viewing of Korean Dramas is closely related to value consumption of viewers, and more detailed findings are discussed in the thesis.en_US
dc.language.isozh_TWen_US
dc.subject電視消費zh_TW
dc.subject認同zh_TW
dc.subject價值觀zh_TW
dc.subject韓劇zh_TW
dc.subjectMedia Consumptionen_US
dc.subjectIdentityen_US
dc.subjectValuesen_US
dc.subjectKorean Dramasen_US
dc.title閱聽人價值觀與收視韓劇的相關性研究zh_TW
dc.titleExaming The Relationship between personal value system and television viewing: a study on the viewers of Korean Dramas in Taiwanen_US
dc.typeThesisen_US
dc.contributor.department傳播研究所zh_TW
Appears in Collections:Thesis


Files in This Item:

  1. 150301.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.