博碩士論文 108423059 詳細資訊




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姓名 高廷宇(Ting-Yu Kao)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 YouTuber類型、擬社會關係、心流與YouTube成癮關係之研究
(A Study of the Relationship between YouTuber Type, Parasocial Relationship, Flow and YouTube Addiction)
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摘要(中) 隨著YouTube影音平台的發展日益成熟,許多人紛紛在YouTube上建立專屬視頻分享自己創作的影片,而衍生出許多類型的YouTuber。因此本研究擬在YouTuber爆紅的時代背景下探討YouTube成癮與各變數的關係,研究問題包含:不同類型的YouTuber與觀眾的擬社會關係、心流以及其YouTube成癮程度是否有差異,再來加入大五人格特質,探討觀眾的人格特質與其擬社會關係間的關聯,以及觀眾的擬社會關係與其YouTube成癮的關聯。最後以心流理論為基礎,探討當觀眾與YouTuber產生擬社會關係時的心流體驗與YouTube成癮的關係。本研究以網路問卷收集資料,使用PLS統計方法驗證研究模型一,再使用單因子變異數分析驗證研究模型二,經分析發現:親和性與外向性的人格特質與擬社會關係有正向關係。擬社會關係與心流都與YouTube成癮有正向關係且心流在擬社會關係與YouTube成癮間具中介效果。不同類型的YouTuber對於觀眾的擬社會關係、心流以及YouTube成癮並無差異。根據上述研究發現,本研究提出管理意涵及未來研究方向之建議,供實務界及後續研究者參考。
摘要(英) With the development of the YouTube platform becoming more and more mature, many people have created exclusive videos on YouTube to share their own creations, and many types of YouTubers have been derived. This study intends to explore the relationship between parasocial relationships and YouTube addiction. The research questions include: whether there are differences in parasocial relationships, flow experience, and YouTube addiction between different types of YouTubers; the relationship between viewer’s personality traits and parasocial relationships; and the relationship between the parasocial relationships and YouTube addiction. Based on the flow theory, we also explore the relationship between flow experience and the parasocial relationship with the YouTuber.The data of this research is collected by online questionnaires. The questionnaire data is analyzed by ANOVA and PLS method to verify the research model and hypothesis. The major findings of this research include : Agreeableness and Extroversion personality are positively related to parasocial relationships. Both parasocial relationships and flow experience are found to positively related to YouTube addiction and flow experience is a significant mediator in the parasocial relationships-YouTube addiction relation. This study also found that there is no significant differences in parasocial relationships, flow experience, and YouTube addiction among different types of YouTubers.Based on the above research findings, this research provides managerial implications for practitioners and future research directions for follow-up researches.
關鍵字(中) ★ 大五人格特質
★ 擬社會化關係
★ 心流
★ YouTube成癮
★ YouTuber
關鍵字(英) ★ Big Five Personality
★ Parasocial Relationships
★ Flow Experience
★ YouTuber
★ YouTube Addiction
論文目次 摘要.....................................................i
Abstract................................................ii
誌謝....................................................iv
圖目錄...................................................v
表目錄...................................................vi
緒論 .....................................................1
1-1研究背景與動機..........................................1
1-2研究目的...............................................3
1-3論文架構...............................................3
1-4研究流程...............................................4
二、文獻探討..............................................5
2-1 大五人格特質..........................................5
2-2 擬社會關係............................................8
2-3 YouTube成癮...........................................9
2-4心流..................................................10
2-5 YouTuber類型.........................................12
三、研究方法..............................................16
3-1 研究模型.............................................16
3-2 研究對象及研究設計....................................17
3-3 資料分析方法..........................................25
四、資料分析與討論........................................27
4-1 前測分析.............................................27
4-2 有效樣本結構敘述......................................28
4-3 檢測測量模型..........................................29
4-4 假說檢定.............................................34
五、研究結論及建議........................................38
5-1 研究結果.............................................38
5-2 研究貢獻與實務意涵....................................39
5-3 研究限制與未來研究建議................................40
參考文獻.................................................43
附錄.....................................................51
參考文獻 Allport, G.W. & Odbert, H.S. (1936). Trait-names: A psycho-lexical study. Psychological Monographs, 47(1), i-171.
Asendorpf, J.B. & Wilpers, S. (1998). Personality effects on social relationships. Journal of Personality and Social Psychology, 74(6), 1531-1544.
Beryl, N., Liam, D.T., David, E.J., Stuart, M.A., Bjorn, W., & Roger M.W. (2019). Identifying indicators of smartphone addiction through user-app interaction. Computers in Human Behavior, 99, 56-65.
Bodi, G., Maintenant, C. & Pennequin, V. (2021). The role of maladaptive cognitions in gaming disorder: Differences between online and offline gaming types. Addictive Behaviors, 112(3), 97-104.
Bridges, E. & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314.
Browne, M.W. & Cudeck, R. (1993). Testing structural equation models, Washington, DC: Sage.
Cattell, R.B. (1943). The description of personality: basic traits resolved into clusters. The Journal of Abnormal and Social Psychology, 38(4), 476-506.
Cemalcilar, Z., Baruh, L., Kezer, M., Kamiloglu, R.G., & Nigdeli, B. (2018). Role of personality traits in first impressions: An investigation of actual and perceived personality similarity effects on interpersonal attraction across communication modalities. Journal of Research in Personality, 76, 139-149.
Csíkszentmihályi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York, NY: Harper & Row.
Csíkszentmihályi, M. (1975). Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.
Dibble, J. L., Hartmann, T., & Rosaen, S.F. (2016). Parasocial interaction and parasocial relationship: Conceptual clarification and a critical assessment of measures. Human Communication Research, 42(1), 21-44.
Ebru, U. & Sema, M.K. (2014). Brand communication through digital influencers: Leveraging blogger engagement. International Journal of Information Management, 34(5), 592-602.
Fiske, D.W. (1949). Consistency of the factorial structures of personality ratings from different sources. The Journal of Abnormal and Social Psychology, 44(3), 329-344.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Giles, D.C. (2002). Parasocial interaction: A review of the literature and a model for future research. Media Psychology, 4(3), 279-305.
Goldberg, L.R. (1995). What the hell took so long? Donald W. Fiske an the Big-Five factor structure, New York, NY: Lawrence Erlbaum Associates.
Harris, K. & Vazire, S. (2016). On friendship development and the big five personality traits. Social and Personality Psychology Compass, 10(11), 647- 667.
Hartmann T. (2016). The routledge handbook of media use and well-being. 1th Edition, Camden, PA: Taylor & Francis Group.
Hair Jr., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis: a global perspective. 7th Edition, Upper Saddle River, NJ: Pearson Education.
Hair, J.F., Hult, G.T., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). New York, NY: Sage Publications.
Hammick, J.K. & Lee, M.J. (2014). Do shy people feel less communication apprehension online? The effects of virtual reality on the relationship between personality characteristics and communication outcomes. Computers in Human Behavior, 33, 302-310.
Hoffman, D.L. & Novak, T.P. (2009). Flow online: Lessons learned and future
prospects. Journal of Interactive Marketing, 23(1), 23-34.
Horton, D. & Wohl, R. R. (1956). Mass communication and para-social interaction. Psychiatry, 19(3), 215-229.
Huang, M.H. (2003). Designing website attributes to induce experiential encounters. Computers in Human Behavior, 19(4), 425-442.
Hu, L. & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Jerslev, A. (2016). In the time of the microcelebrity celebrification and the YouTuber zoella. International Journal of Communication, 10, 5233-5251.
Jelenchick, L.A., Becker, T., & Moreno, M.A. (2012). Assessing the psychometric properties of the Internet Addiction Test (IAT) in US college students. Psychiatry Research, 196(2-3), 296-301.
Julia, B., Velten, J., & Margraf, J. (2019). Relationship between daily stress, depression symptoms, and Facebook Addiction Disorder in Germany and in the USA. Cyberpsychology, Behavior, & Social Networking, 22(9), 610-614.
Julia, B., Elke, R., Friederike, R., Hans-Werner, B., & Jürgen, M. (2018). The brave blue world: Facebook flow and Facebook Addiction Disorder (FAD). PLoS One, 13(7) , 354-363.
Kaplan, A. M. & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social media. Business Horizons, 53(1), 59-68.

Karina S. & Charles P. (2021). You follow fitness influencers on YouTube. But do you actually exercise? How parasocial relationships, and watching fitness influencers, relate to intentions to exercise. Journal of Retailing and Consumer Services, 58, 69-89.
Klobas, J.E., McGill, T.J., Moghavvemi, S., & Paramanathan, T. (2018). Compulsive YouTube usage: A comparison of use motivation and personality effects. Computers in Human Behavior, 87, 129-139.
Khan, M.L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236-247.
Kuss, D.J. & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lesson learned. International Journal of Environmental Research and Public Health, 14(3), 311-315.
Ledbetter, A.M. & Redd, S.M. (2016). Celebrity credibility on social media: A conditional process analysis of online self-disclosure attitude as a moderator of posting frequency and parasocial interaction. Western Journal of Communication, 80(5), 601-618.
Lee, J.E. & Watkins, B. (2016). YouTube vloggers’ influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69 (12), 5753-5760.
McCrae, R.R. & Costa, P.T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81-90.
Pervin, L.A. & Cervone, D. (2010). Personality: theory and research (11th ed). Hoboken, NJ: Wiley.
Pierre, B., Marlène, G., & Catherine, B. (2019). The relations between YouTube addiction, social anxiety and parasocial relationships with YouTubers: A moderated-mediation model based on a cognitive-behavioral framework. Computers in Human Behavior, 99, 190-204.
Rubin, R.B. & McHugh, M.P. (1987). Development of parasocial interaction relationships. Journal of Broadcasting & Electronic Media, 31(3), 279-292.
Schmitt, D.P., Allik, J., Mccrae, R.R., & Benet-Martínez, V. (2007). The geographic distribution of big five personality traits: patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology, 38(2), 173-212.
Selfhout, M., Burk, W., Branje, S., Denissen, J., van Aken, M., & Meeus, W. (2010). Emerging late adolescent friendship networks and Big Five personality traits: A social network approach. Journal of Personality, 78(1), 509–538.
Shin, D.H. (2016). Do users experience real sociability through social TV? Analyzing parasocial behavior in relation to social TV. Journal of Broadcasting & Electronic Media, 60(1), 140-159.
Stever, G.S. & Lawson, K. (2013). Twitter as a way for celebrities to communicate with fans: Implications for the study of parasocial interaction. North American Journal of Psychology, 15(2), 339-354.
Thomson, M. (2006). Human Brands: investigating antecedents to consumers’ strong attachments to celebrities. Journal of Marketing, 70(3), 104-119.
Tolbert, A.N. & Drogos, K.L.(2019). Tweens’ wishful identification and parasocial relationships with youtubers. Frontier in Psychology, 10(2), 27-81.
Tupes, E.C. & Christal, R.E. (1961). Recurrent Personality Factors based on Trait Ratings.Texas, TX: Air Force.
Turel, O. & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512-528.
Ventura, M., Shute, V., & Kim, Y.J. (2012). Video gameplay, personality and academic performance. Computers & Education, 58(4), 1260-1266.
Wang, J. & Wang, X. (2019). Structural equation modeling: Applications using mplus. New York, NY: John Wiley & Sons.
Welbourne, D.J. & Grant, W.J. (2016). Science communication on youtube: factors that affect channel and video popularity. Public Understanding of Science, 25(6), 706-718.
Winterich, K.P., Gangwar, M., & Grewal, R. (2018). When celebrities count: power distance beliefs and celebrity endorsements. Journal of Marketing, 82(3), 70-86.
Wu T.C., Scott, D., & Yang C.C. (2013). Advanced or addicted? Exploring the relationship of recreation specialization to flow experiences and online game addiction. Leisure Sciences, 35(3), 203-17.
Yuan, C.L., Moon, H., Kim, K.H., & Wang, S. (2019). The influence of parasocial relationship in fashion web on customer equity. Journal of Business Research, 130(2), 610-617.
丁慧瑩、耿慶瑞、鄭璧嫻 (2011)。虛擬角色代言人對網路廣告的影響―擬社會互動與產品涉入的干擾效果,資訊管理學報,第十九卷第二期,頁439-473。
凌品葳 (2018)。YouTuber類型與廣告價值對消費者反應之影響 (未出版碩士論文)。國立中央大學企業管理學系,桃園市。
陳天心 (2012)。探討台灣大專院校生人格特質、人際關係、網路成癮與網路使 用態度的關係(碩士論文)。國立交通大學教育學系,新竹市。
陳彥樺 (2020)。網路名人背書對民眾投票抉擇之影響 (未出版碩士論文)。國立成功大學政治學系,台南市。
陳瑛琪 (2013)。青少年網路成癮-現實與虛擬環境間的拉鋸戰。商管科技季刊,第十四卷第二期,頁165-193。
黃鈺婷 (2020)。網紅代言是否可觸動消費者的購買慾望?網紅特質、消費者心流及網真的效應 (未出版碩士論文)。義守大學企業管理學系,高雄市。
黃識銘 (1999)。生活型態、消費態度與消費行為之關聯性研究 (未出版碩士論文)。元智大學企業管理學系,桃園市。
劉又瑋 (2020)。台灣中小型YouTuber經營之核心資源研究 (未出版碩士論文)。國立台灣師範大學大眾傳播學系,台北市。
蔡禮丞 (2018)。以使用與滿足理論及沉浸理論來探討遊戲直播持續觀看意願 (未出版碩士論文)。明新科技大學企業管理學系,新竹縣。
盧建霖 (2019)。心流、使用與滿足對持續使用社群媒體意圖之影響:以Instagram為例 (未出版碩士論文)。長庚大學資訊管理學系,桃園市。
富盈數據 (2020)。Digital Report 2020 台灣報告,台灣網路生態大解析!。擷取日期:2021.04.30,取自:https://www.breaktime.com.tw/archives/6293#respond
益普索市場研究 (2017)。YouTube使用行為大調查。擷取日期:2021.06.11,取自:https://taiwan.googleblog.com/2017/10/youtube.html
莊志成 (2020)。高齡社會+小家庭 這類住宅成主流。工商時報,擷取日期2021.06.11,取自:https://ctee.com.tw/house/celetalk/223306.html
YouTube (2021)。新聞中心。擷取日期:2021.06.15,取自:https://www.youtube.com/intl/zh-TW/about/press/
維基百科 (2020)。台灣YouTube頻道訂閱人數排行榜。擷取日期:2021.1.15,取自:https://zh.wikipedia.org/wiki/%E5%8F%B0%E7%81%A3YouTube%E9%A0%BB%E9%81%93%E8%A8%82%E9%96%B1%E4%BA%BA%E6%95%B8%E6%8E%92%E8%A1%8C%E6%A6%9C
Noxinfluencer (2021)。YouTube網紅排行榜。擷取日期:2021.01.15,取自: https://tw.noxinfluencer.com/youtube-channel-rank/top-100-all-all-youtuber-sorted-by-subs-weekly
VisualCapitalist (2020)。全球流量人氣最高的10大網站最新榜單出爐。擷取日期:2021.03.25取自:http://www.taaa.org.tw/news/article/7018
指導教授 周惠文(Huey-Wen Chou) 審核日期 2021-7-30
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