跳到主要內容

簡易檢索 / 詳目顯示

研究生: 魏健庭
Wei, Chien-Ting
論文名稱: 透過超擬社會關係觀點探討串流媒體產業中的網紅行銷:網紅特質、錯失恐懼、歸屬感、內容分享意圖及平台認同之關係
Investigating Influencer Marketing in the Streaming Media Industry through the Lens of Trans-Parasocial Relations: The Relationships between Influencer Characteristics, Fear of Missing Out, and Sense of Belonging, Content Sharing Intention, and Platform Identification
指導教授: 陳冠儒
Chen, Kuan-Ju
口試委員: 白佩玉
Pai, Pei-Yu
江藍龍
Chiang, Lan-Lung
學位類別: 碩士
Master
系所名稱: 商學院 - 企業管理研究所(MBA學位學程)
Master of Business Administration Program(MBA)
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 98
中文關鍵詞: 網紅行銷內容專業性內容娛樂性自我揭露超擬社會關係錯失恐懼社群歸屬感串流平台認同
外文關鍵詞: Influencer Marketing, Expertise, Entertainment Value, Self-disclosure, Trans-Parasocial Relations, Fear of Missing Out, Sense of Belonging, Platform Identification
相關次數: 點閱:38下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 串流平台逐漸成為現代娛樂消費主流管道,加上社群媒體成為大眾接收影視資訊的來源,網紅行銷已成為串流平台重要策略。然而,目前關於網紅行銷的研究大多著重在美妝、美食、時尚等領域,針對影視、串流媒體產業的學術研究相對缺乏。因此,本研究探討串流媒體產業中的網紅行銷效果,特別聚焦於網紅特質(內容專業性、內容娛樂性、自我揭露)、超擬社會關係、錯失恐懼、社群歸屬感如何影響消費者的影劇分享意願及串流平台認同。

    本研究採用問卷調查法,以312位關注影視內容網紅並有觀看串流影劇習慣的受試者為研究對象。研究結果顯示,網紅的內容專業性、內容娛樂性與自我揭露程度均會透過超擬社會關係顯著影響消費者的影劇分享意願。而超擬社會關係與串流平台認同之間的中介效果,僅在高社群歸屬感的情況下顯著,表明只有當追隨者對網紅粉絲社群有強烈歸屬感時,其對於串流平台的認同才會加強。此外,研究發現錯失恐懼雖顯著調節超擬社會關係與影劇分享意願間的關係,但呈現負向效果,表示高錯失恐懼反而削弱網紅行銷對分享行為的影響力。

    根據研究結果,本文提出實務建議:串流平台選擇網紅合作夥伴時應著重其專業性、內容娛樂價值與自我揭露程度。同時應避免過度強調立即觀看的壓力,且應平衡短期話題創造與長期品質內容的提供。而影視網紅則應提升專業分析能力、創造有趣內容、適度分享個人觀點與經驗,並積極建立具互動性的粉絲社群。總地來說,本研究探究串流媒體產業中網紅行銷的關鍵,將超擬社會關係延伸至影視消費領域,為串流平台與影視網紅的行銷策略提供有效指引。


    Streaming platforms have become the mainstream channel for entertainment consumption, with social media serving as a primary source of audiovisual information. Consequently, influencer marketing has emerged as a crucial strategy for streaming platforms. While research on influencer marketing is abundant in beauty, food, and fashion sectors, academic studies in the film and series and streaming industry remain limited. This study examines the effectiveness of influencer marketing in the streaming media industry, focusing on how influencer characteristics (expertise, entertainment value, self-disclosure), trans-parasocial relations, fear of missing out, and sense of belonging affect consumers' content sharing intention and platform identification.

    Using survey data from 312 participants who follow film and series content influencers and watch streaming content, results show that influencers' expertise, entertainment value, and self-disclosure significantly impact content sharing intention through trans-parasocial relations. The mediating effect between trans-parasocial relations and platform identification is only significant under high sense of belonging, indicating platform identification strengthens only when followers have strong connection to the influencer's fans community. Interestingly, fear of missing out demonstrated a negative moderating effect, suggesting high levels actually weaken the impact of influencer marketing on sharing behavior.

    Based on the result, streaming platforms should prioritize influencers' expertise, entertainment value, and self-disclosure when selecting partners. Besides, avoiding overemphasizing urgency for viewing and balancing short-term engagement with long-term quality content. Moreover, film and series content influencers should enhance analytical capabilities, create engaging content, share personal perspectives in the contents, and establish interactive fan communities. In sum, this research identifies key elements of influencer marketing in the streaming industry, extends trans-parasocial relations theory, and provides strategic guidance for platforms and influencers.

    第一章 緒論 9
    第一節 研究背景 9
    第二節 研究動機 13
    第三節 研究目的 14
    第四節 研究流程 16
    第二章 文獻探討 17
    第一節 串流OTT平台 17
    第二節 網紅行銷 20
    第三節 網紅行銷之關鍵因素 22
    第四節 消費者心理 26
    第五節 影視產業中消費者行為 32
    第六節 研究假說 34
    第七節 研究架構 38
    第三章 研究方法 40
    第一節 資料搜集與問卷設計 40
    第二節 問卷內容設計與問卷題項定義 40
    第三節 問卷量表設計 41
    第四章 資料分析 48
    第一節 樣本特性分析 48
    第二節 信度分析結果 55
    第三節 研究假說驗證 56
    第四節 迴歸分析 57
    第五節 中介及調節效果分析 58
    第五章 研究結論與建議 70
    第一節 資料分析結果 70
    第二節 研究結論 71
    第三節 管理實務意涵 76
    第四節 研究限制與未來研究建議 78
    參考文獻 81
    附錄:研究問卷 90

    吳明隆,(2008)。論文寫作與量化研究。五南圖書出版有限公司。
    台灣文化內容策進院(2024年08月02號)。2023年臺灣文化內容消費趨勢調查報告。台灣文化內容策進院。https://research.taicca.tw/pdf/265d5b10-88b6-3855-b788-66b1ef57d13b
    資產情報研究所MIC(2025年04月23號)。觀看串流影音增幅逾四成 53%網友仍赴電影院觀影串流訂閱戶每月平均花費323元九成以上仍有增訂空間。資產情報研究所MIC。https://mic.iii.org.tw/research.aspx?id=715
    Ahmad, I. (2025, February 16). The influencer marketing revolution, SocialMediaToday. https://www.socialmediatoday.com/news/the-influencer-marketing-revolution-infographic/517146/
    Ahmed, S., Islam, T., & Ghaffar, A. (2024). Shaping brand loyalty through social media influencers: The mediating role of follower engagement and social attractiveness. Sage Open, 14(2), 21582440241242928.
    Altman, I., & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. Holt, Rinehart & Winston.
    Arndt, J. (1967). Word of Mouth Advertising: A Review of the Literature. Advertising Research Foundation.
    Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497-529.
    Bazarova, N., & Choi, Y. (2014). Self-disclosure in social media: Extending the functional approach to disclosure motivations and characteristics on social network sites. Journal of Communication, 64(4), 635-657.
    Bond, B. J. (2018). Parasocial relationships with media personae: Why they matter and how they differ among heterosexual, lesbian, gay, and bisexual adolescents. Media Psychology, 21(3), 457-485.
    Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2-20.
    Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers' positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123-138.
    Chekima, B., Chekima, F. Z., & Adis, A. A. (2020). Social media influencer in advertising: The role of attractiveness, expertise and trustworthiness. Journal of Economics and Business, 3(4), 1507-1515.
    Chen, C. C., & Lin, Y. C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293-303.
    Chen, K.-J., Lin, J.-S., & Lee, C.-C. (2025). Developing the trans-parasocial relations scale for measuring engagement with influencer marketing. In Proceedings of the 2025 AMS World Marketing Congress. Academy of Marketing Science.
    Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470.
    Chung, S., & Cho, H. (2017). Fostering parasocial relationships with celebrities on social media: Implications for celebrity endorsement. Psychology & Marketing, 34(4), 481-495.
    Conlin, L., Billings, A. C., & Auverset, L. (2016). Time-shifting vs. appointment viewing: The role of fear of missing out within TV consumption behaviors. Communication & Society, 29(4), 151-164.
    Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
    De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798-828.
    Ellemers, N., Spears, R., & Doosje, B. (2002). Self and social identity. Annual Review of Psychology, 53, 161-186.
    Farivar, S., & Wang, F. (2022). Effective influencer marketing: A social identity perspective. Journal of Retailing and Consumer Services, 67, 103026.
    Farivar, S., Wang, F., & Yuan, Y. (2021). Opinion leadership vs. para-social relationship: Key factors in influencer marketing. Journal of Retailing and Consumer Services, 59, 102371.
    Fernando, E., Prabowo, Y. D., & Winanti. (2024). The impact of social media in marketing on brand awareness and customer trust in increasing purchase intention. International Conference on Information Technology Research and Innovation, 335-340.
    Gottfried, J., & Shearer, E. (2016, May 26). News use across social media platforms 2016. Pew Research Center. http://www.journalism.org/2016/05/26/news-use-across-social-media-platforms-2016/
    Grand View Research. (2024). Video Streaming Market Size, Share & Trends Analysis Report By Type, By Solution, By Platform, By Service Industry, By Revenue Model (Advertising, Subscription), ByDeployment (Cloud, On-Premises), By User, By Region, And Segment Forecasts, 2025 – 2030. https://www.grandviewresearch.com/industry-analysis/video-streaming-market
    Green, M. C., Brock, T. C., & Kaufman, G. F. (2004). Understanding media enjoyment: The role of transportation into narrative worlds. Communication Theory, 14(4), 311-327.
    Hayran, C., Anik, L., & Gu¨rhan-Canli, Z. (2020). A threat to loyalty: Fear of missing out (FOMO) leads to reluctance to repeat current experiences. PLOS ONE, 15(4), e0232318.
    Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229.
    Hovland, C. I., Janis, I. K., & Kelley, H. H. (1953). Communication and persuasion. Yale University Press.
    Influencer Marketing Hub. (2025, April 25). Influencer Marketing Benchmark Report 2025. https://influencermarketinghub.com/influencer-marketing-benchmark-report/
    Jabeen, F., Tandon, A., Sithipolvanichgul, J., Srivastava, S., & Dhir, A. (2023). Social media-induced fear of missing out and social media fatigue: The role of narcissism, comparison and disclosure. Journal of Business Research, 159, 113693.
    Jiang, L., Bazarova, N., & Hancock, J. (2010). The disclosure-intimacy link in computer-mediated communication: An attributional extension of the hyperpersonal model. Human Communication Research, 37(1), 58-77.
    Johnson, M. (2025, January 16). 80+ Industry Specific Social Media Marketing Statistics For 2025. Synup. https://www.synup.com/en/social-media-marketing-statistics
    Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523.
    Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236-247.
    Ki, C., Cuevas, L., Chong, S., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, 102133.
    Kim, J., Liu, J. T., & Chang, S. R. (2022). Trans-parasocial relation between influencers and viewers on live streaming platforms: How does it affect viewer stickiness and purchase intention? Asia Marketing Journal, 24(2), 39-50.
    Kim, M. S., Kim, E., Hwang, S., Kim, J., & Kim, S. (2017). Willingness to pay for over-the-top services in China and Korea. Telecommunications Policy, 41(3), 197-207.
    Koh, J., & Kim, Y.-G. (2003). Sense of virtual community: A conceptual framework and empirical validation. International Journal of Electronic Commerce, 8(2), 75-94.
    Kowert, R., & Daniel, E., Jr. (2021). The one-and-a-half sided parasocial relationship: The curious case of live streaming. Computers in Human Behavior Reports, 4, 100150.
    Lam, S. K., Ahearne, M., Hu, Y., & Schillewaert, N. (2010). Resistance to brand switching when a radically new brand is introduced: A social identity theory perspective. Journal of Marketing, 74(6), 128-146.
    Leite, F. P., & Baptista, P. D. P. (2022). The effects of social media influencers' self-disclosure on behavioral intentions: The role of source credibility, parasocial relationships, and brand trust. Journal of Marketing Theory and Practice, 30(3), 295-311.
    Lin, C. A. (2008). Technology fluidity and on-demand webcasting adoption. Telematics and Informatics, 25(2), 84-98.
    Lin, H. F. (2008). Determinants of successful virtual communities: Contributions from system characteristics and social factors. Information & Management, 45(8), 522-527.
    Lou, C. (2021). Social media influencers and followers: Theorization of a trans-parasocial relation and explication of its implications for influencer advertising. Journal of Advertising, 51(1), 4-21.
    Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58-73.
    Martínez-Sánchez, M. E., Nicolas-Sans, R., & Bustos Díaz, J. (2021). Analysis of the social media strategy of audio-visual OTTs in Spain: The case study of Netflix, HBO and Amazon Prime during the implementation of Disney+. Technological Forecasting & Social Change, 173, 121178.
    McCroskey, J. C. (1966). Scales for the measurement of ethos. Speech Monographs, 33, 65-72.
    McQuail, D. (1983). Mass communication theory: An introduction. Sage.
    Menon, D. (2022). Purchase and continuation intentions of over-the-top (OTT) video streaming platform subscriptions: a uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006.
    Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders: A handbook, 97-146.
    Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51-60.
    Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39-52.
    Pan, M., Blut, M., Ghiassaleh, A., & Lee, Z. W. (2025). Influencer marketing effectiveness: A meta-analytic review. Journal of the Academy of Marketing Science, 53(1), 52-78.
    Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848.
    PwC. (2024, July 16). Global advertising revenue to hit US$1 trillion in 2026 as streaming services look to consolidation and live sports to drive growth: PwC Global Entertainment & Media Outlook 2024-28. https://www.pwc.com/gx/en/news-room/press-releases/2024/pwc-global-entertainment-and-media-outlook-2024-28.html
    Reinikainen, H., Munnukka, J., Maity, D., & Luoma-aho, V. (2020). 'You really are a great big sister': Parasocial relationships, credibility, and the moderating role of audience comments in influencer marketing. Journal of Marketing Management, 36(3-4), 279-298.
    Sánchez-Fernández, R., & Jiménez-Castillo, D. (2021). How social media influencers affect behavioural intentions towards recommended brands: the role of emotional attachment and information value. Journal of Marketing Management, 37(11-12), 1123-1147.
    Sadana, M., & Sharma, D. (2021). How over-the-top (OTT) platforms engage young consumers over traditional pay television service? An analysis of changing consumer preferences and gamification. Young Consumers, 22(3), 348-367.
    Sahu, G., Gaur, L., & Singh, G. (2021). Applying niche and gratification theory approach to examine the users' indulgence towards over-the-top platforms and conventional TV. Telematics and Informatics, 65, 101713.
    Scharlach, R., & Hallinan, B. (2023). The value affordances of social media engagement features. Journal of Computer-Mediated Communication, 28(6), zmad040.
    Stein, J. P., Breves, P., & Anders, N. (2024). Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness. New Media & Society, 26(6), 3433-3453.
    Steiner, E., & Xu, K. (2018). Binge-watching motivates change: Uses and gratifications of streaming video viewers challenge traditional TV research. Convergence, 26(1), 82-101.
    Stokburger-Sauer, N., Ratneshwar, S., & Sen, S. (2012). Drivers of consumer-brand identification. International Journal of Research in Marketing, 29(4), 406-418.
    Sultan, A. J. (2021). Fear of missing out and self-disclosure on social media: The paradox of tie strength and social media addiction among young users. Young Consumers, 22(4), 555-577.
    Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility (pp. 73-100). Cambridge, MA: MacArthur Foundation Digital Media and Learning Initiative.
    Sundar, S. S., & Limperos, A. M. (2013). Uses and grats 2.0: New gratifications for new media. Journal of Broadcasting & Electronic Media, 57(4), 504-525.
    Tafesse, W., & Wood, B.P. (2021). Followers' engagement with Instagram influencers: The role of influencers' content and engagement strategy. Journal of Retailing and Consumer Services, 58, 102303.
    Tajfel, H., Turner, J. C., Austin, W. G., & Worchel, S. (1979). An integrative theory of intergroup conflict. Organizational identity: A reader, 56(65), 9780203505984-16.
    Tefertiller, A. C., Maxwell, L. C., & Morris II, D. L. (2020). Social media goes to the movies: Fear of missing out, social capital, and social motivations of cinema attendance. Mass Communication and Society, 23(3), 378-399.
    Tefertiller, A., & Sheehan, K. (2019). TV in the streaming age: motivations, behaviors, and satisfaction of post-network television. Journal of Broadcasting & Electronic Media, 63(4), 595-616.
    The Goat Agency. (2023, November 16). The 42 key influencer marketing statistics you need to know in 2024. https://goatagency.com/blog/influencer-marketing/influencer-marketing-statistics/
    Tuškej, U., Golob, U., & Podnar, K. (2013). The role of consumer-brand identification in building brand relationships. Journal of Business Research, 66(1), 53-59.
    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.
    Westcott, K., Arbanas, J., Loucks, J., & Matheson, B. (2024, March 20). Social media and creators drive viewers to TV shows, movies, and games. Deloitte Insights. https://www.deloitte.com/us/en/insights/industry/technology/digital-media-trends-consumption-habits-survey/2024/online-creators-and-the-impact-of-social-media-on-entertainment.html
    Xue, D. (2024). A study of evolution of film marketing in the digital age. SHS Web of Conferences, 193, 04003.
    Yuan, S., & Lou, C. (2020). How social media influencers foster relationships with followers: The roles of source credibility and fairness in parasocial relationship and product interest. Journal of Interactive Advertising, 20(2), 133-147.
    Zhang, X., & Choi, J. (2022). The importance of social influencer-generated contents for user cognition and emotional attachment: An information relevance perspective. Sustainability, 14(11), 6676.
    Zhao, L., Lu, Y., Wang, B., Chau, P. Y. K., & Zhang, L. (2012). Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective. International Journal of Information Management, 32(6), 574-588.

    無法下載圖示 全文公開日期 2030/07/29
    QR CODE
    :::