• 沒有找到結果。

第六章 結論與建議

第四節 研究建議

本研究針對台灣 YouTube 上知名的網路紅人為研究標的,而網路紅人除了 於 YouTube 平台上以外,更並存於社群平台 Facebook、Instagram 與直播平台 Live.me、17 及電子商務平台淘寶等,甚至是遊戲直播平台 Twitch、麥卡貝網路 電視等,皆可熟見網路紅人的蹤跡,故將其他平台上之網路紅人納入探討則能豐 潤研究之結果,更提升實務界之洞見。

二、縱斷面

本研究採取橫斷面方式於一個時間點進行資料收集,建議後續研究可於加入 直播或電商等平台上之網路紅人進行採縱斷面方式進行比較,並且長期觀察網路 紅人與觀看者間是否會因為不同影片之類型,而產生對頻道黏著度之改變,以及 是否因應不同平台而出現不盡相同之前端心理路徑,以豐富研究之意涵。

三、研究架構豐潤

本研究將研究側重於前端,網紅與觀看者黏著度之心理路徑,後續研究得將 後端即網紅影響力,如代言產品後是否會進一步促使觀看者做出購買行為等,將 可為網紅行銷、網紅市場做出更清晰之洞見,且為後續研究學者提供理論上之豐 碩及研究之方向。

圖 6-2 研究架構豐潤

參考文獻

中文部份

吳宣融(2017)。代言人可信度對消費者品牌認同之影響(未出版之碩士論文)。真 理大學,新北市。

李茂能(2006)。結構方程模式軟體 AMOS

之簡介及其在測驗編制上之應用-Gtaphics and Basic。台北:心理出版社股份有限公司。

李茂能(2008)。SEM 適配度指標的潛藏問題:最佳模式難求。測驗統計年刊,16(2),

17-30。

林暉恩(2018)。觀看網路紅人影片動機與人格特質關聯性之研究─以蔡阿嘎頻道 為例(未出版之碩士論文)。世新大學,臺北市。

許家祥(2017)。網路紅人代言對消費者品牌聯想之影響(未出版之碩士論文)。中 原大學,桃園縣。

菲利浦‧科特勒(Philip Kotler)、陳就學(Hermawan Kartajaya)、伊萬‧塞提亞宛(Iwan Setiawan)(2017)。行銷 4.0:新虛實融合時代贏得顧客的全思維(Marketing

4.0: Moving from Traditional to Digital )劉盈君(譯)。臺北市:天下雜誌。

劉盈君(譯) (2017)。行銷 4.0:新虛實融合時代贏得顧客的全思維(原作者:Kotler, P, Kartajaya, H., Setiawan, I. )。臺北市:天下雜誌。(原著出版年:2016) 黃意婷(2017)。以消費者觀點探討網紅自我揭露、網紅可信度、廣告態度與購買

Aaker DA. (1996). Building strong brands. London: Simon and Schuster, Free Press.

Adam M. Brandenburger and Barry J. Nalebuff, (1996). Co-opetition. US:Crown Business.

Anderson, E., and Weitz, B. (1992). The use of pledges to build and sustain commitment in distribution channels. Journal of marketing research, 29(1),18-34.

Auter, P. J. (1992). Psychometric: TV that talks back: An experimental validation of a parasocial interaction scale. Journal of Broadcasting and Electronic Media,

36(2), 173-181.

Avolio, B. J., Yammarino, F. J., and Bass, B. M. (1991). Identifying common methods variance with data collected from a single source: An unresolved sticky issue.

Journal of management, 17(3), 571-587.

Bagozzi, R. P., and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.

Baron, R. M., and Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.

Bhattacharya, C. B., and Sen, S. (2003). Consumer-company identification: A framework for understanding consumers’ relationships with companies.

Journal of marketing, 67(2), 76-88.

Bond, B. J. (2016). Following Your ‘‘Friend’’: Social Media and the Strength of Adolescents’ Parasocial Relationships with Media Personae. CyberPsychology,

Behavior and Social Networking, 19(11),

656-660.

doi:10.1089/cyber.2016.0355

Bärtl, M. (2018). YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence, 24(1), 16-32.

Breivik, E., and Olsson, U. H. (2001). Adding variables to improve fit: The effect of model size on fit assessment in LISREL. In Cudeck, R., Du Toit, S. H. C. and Sörbom, D. (Eds.), Structural Equation Modeling: Present and Future, A Festschrift in Honor of Karl Jöreskog, pp.169-194, Scientific Software International, Chicago, IL.

Browne, M. W., and Cudeck, R. (1993). Alternative ways of assessing model fit. Sage focus editions, 154, 136-136.

Burgess, J. E., and Green, J. B. (2009). The entrepreneurial vlogger: Participatory culture beyond the professional-amateur divide (pp. 89-107). National Library of Sweden/Wallflower Press.

Burgoon, J. K., Bonito, J. A., Bengtsson, B., Ramirez Jr, A., Dunbar, N. E., and Miczo, N. (1999). Testing the interactivity model: Communication processes, partner assessments, and the quality of collaborative work. Journal of management

information systems, 16(3), 33-56.

Caughey, J. L. (1984). Imaginary social worlds: A cultural approach. Lincoln:

University of Nebraska Press.

Chen, C.-P. (2013). Exploring Personal Branding on YouTube. Journal of Internet

Commerce, 12(4), 332-347. doi:10.1080/15332861.2013.859041

Chernatony, L. D., M. McDonald, and E. Wallace. (2011). Creating powerful brands.

UK: Butterworth-Heinemann.

Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling.

MIS Quarterly, 22, 7-16.

Chung, S., and Cho, H. (2017). Fostering Parasocial Relationships with Celebrities on Social Media: Implications for Celebrity Endorsement. Psychology and

Marketing, 34(4), 481-495. doi:10.1002/mar.21001

Coelho, P. S., Rita, P., and Santos, Z. R. (2018). On the relationship between consumer-brand identification, consumer-brand community, and consumer-brand loyalty. Journal of Retailing

and Consumer Services, 43, 101-110. doi:10.1016/j.jretconser.2018.03.011 Cohen, P., West, S. G., & Aiken, L. S. (2014). Applied multiple regression/correlation

analysis for the behavioral sciences. Psychology Press.

Conway, J. C., and Rubin, A. M. (1991). Psychological predictors of television viewing motivation. Communication Research, 18(4), 443-463.

Coyle, J. R., and Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of advertising, 30(3), 65-77.

Cunningham, S., Craig, D., and Silver, J. (2016). YouTube, multichannel networks and the accelerated evolution of the new screen ecology. Convergence, 22(4), 376-391.

Da Silveira, C., Lages, C., and Simões, C. (2013). Reconceptualizing brand identity in a dynamic environment. Journal of Business Research, 66(1), 28-36.

De Chernatony, L. (1999). Brand management through narrowing the gap between brand identity and brand reputation. Journal of marketing management, 15(1-3), 157-179.

Djafarova, E., and Rushworth, C. (2017). Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users.

Computers in Human Behavior, 68,

1-7.

doi:https://doi.org/10.1016/j.chb.2016.11.009

Doll, W. J., Xia, W., and Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS quarterly, 18, 453-461.

Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research,

18(1), 39-50.

Fournier, S. (1998). Consumers and their brands: Developing relationship theory in consumer research. Journal of consumer research, 24(4), 343-373.

Gong, W., and Li, X. (2017). Engaging fans on microblog: the synthetic influence of parasocial interaction and source characteristics on celebrity endorsement.

Psychology and Marketing, 34(7), 720-732. doi:10.1002/mar.21018

Greenwood, D. N. (2013). Fame, Facebook, and Twitter: How attitudes about fame predict frequency and nature of social media use. Psychology of Popular Media

Culture, 2(4), 222.

Ha, L., and James, E. L. (1998). Interactivity reexamined: A baseline analysis of early business web sites. Journal of Broadcasting and Electronic Media, 42(4), 457-474. doi:10.1080/08838159809364462

Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. (1998). Multivariate data

analysis. Upper Saddle River.

Harris, L. C., and Goode, M. M. (2004). The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of retailing, 80(2), 139-158.

Hartmann, T., and Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers' experience of parasocial interaction. Journal of communication, 61(6), 1104-1121.

Hashim, S., and Mohammed Yasin, N. (2017). THE IMPACT OF RELATIONAL VALUE TOWARDS CUSTOMER BRAND RELATIONSHIP STICKINESS IN THE CONTEXT OF MALAYSIAN PUBLIC HIGHER EDUCATION SERVICE. International Journal of Business and Society, 18(2).

He, H., Li, Y., and Harris, L. (2012). Social identity perspective on brand loyalty.

Journal of Business Research, 65(5), 648-657.

He, H. W., and Mukherjee, A. (2009). Corporate identity and consumer marketing: A process model and research agenda. Journal of Marketing Communications,

15(1), 1-16.

Hoerner, J. (1999). Scaling the web: a parasocial interaction scale for world wide web sites. Advertising and the world wide web, 99, 135-147.

Holland, J., and Baker, S. M. (2001). Customer participation in creating site brand loyalty. Journal of interactive marketing, 15(4), 34-45.

Horton, D., and Richard Wohl, R. (1956). Mass Communication and Para-Social Interaction. Psychiatry, 19(3), 215-229. doi:10.1080/00332747.1956.11023049

Houlberg, R. (1984). Local television news audience and the para‐social

interaction. Journal of Broadcasting and Electronic Media, 28(4), 423-429.

Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research:

A review of four recent studies. Strategic management journal, 20(2), 195-204.

Hwang, K., and Zhang, Q. (2018). Influence of parasocial relationship between digital celebrities and their followers on followers’ purchase and electronic word-of-mouth intentions, and persuasion knowledge. Computers in Human Behavior,

87, 155-173. doi:10.1016/j.chb.2018.05.029

Jöreskog, K. G., and Sörbom, D. (1993). LISREL 8: Structural equation modeling with

the SIMPLIS command language. Scientific Software International.

Jee, J., and Lee, W.-N. (2002). Antecedents and consequences of perceived interactivity:

An exploratory study. Journal of interactive advertising, 3(1), 34-45.

Jin, S. V. (2018). “Celebrity 2.0 and beyond!” Effects of Facebook profile sources on social networking advertising. Computers in Human Behavior, 79, 154-168.

doi:https://doi.org/10.1016/j.chb.2017.10.033

Joachimsthaler, E., & Aaker, D. A. (1997). Building brands without mass media. Harvard business review, 75(1), 39-48.

Johnson, J.L. and Cullen, J.B. (2002). Trust in CrossCultural Relationships. In Cannon, M.J. and Newman, K.L. (Eds.), The Blackwell Handbook of Cross-Cultural

Management(pp.335-360). Malden: Blackwell Publishing.

Juntiwasarakij, S. (2018). Framing emerging behaviors influenced by internet celebrity(In press).

Kasetsart Journal of Social Sciences.

doi:10.1016/j.kjss.2018.06.014

Kapferer J.N. (1997). Strategic brand management: creating and sustaining brand

equity long term. 2nd ed. London: Kogan Page Limited.

Kapferer J.N. (2008). The new strategic brand management, creating and sustaining

brand equity long term. London: Kogan Page.

Kim, C. K., Han, D., and Park, S. B. (2001). The effect of brand personality and brand identification on brand loyalty: Applying the theory of social identification.

Japanese psychological research, 43(4), 195-206.

Kiousis, S. (2002). Interactivity: a concept explication. New Media and Society, 4(3), 355-383. doi:10.1177/146144480200400303

Kline, R. B. (2011). Methodology in the Social Sciences. Principles and practice of

structural equation modeling (3rd ed.). New York, NY, US: Guilford Press.

Knoll, J., Schramm, H., Schallhorn, C., and Wynistorf, S. (2015). Good guy vs. bad guy: the influence of parasocial interactions with media characters on brand placement effects. International Journal of Advertising, 34(5), 720-743.

doi:10.1080/02650487.2015.1009350

Kumar Roy, S., M. Lassar, W., and T. Butaney, G. (2014). The mediating impact of stickiness and loyalty on word-of-mouth promotion of retail websites: A consumer perspective. European Journal of Marketing, 48, 1828-1849.

Labrecque, L. I. (2014). Fostering Consumer–Brand Relationships in Social Media Environments: The Role of Parasocial Interaction. Journal of interactive

marketing, 28(2), 134-148. doi:10.1016/j.intmar.2013.12.003

Lam, C. (2015). Improving Technical Communication Group Projects. Journal of

Business and Technical Communication, 30(1),

85-112.

doi:10.1177/1050651915602293

Levy, M. R. (1979). Watching TV news as para‐social interaction. Journal of Broadcasting and Electronic Media, 23(1), 69-80.

Li, D., Browne, G. J., and Wetherbe, J. C. (2006). Why do internet users stick with a specific web site? A relationship perspective. International Journal of

Electronic Commerce, 10(4), 105-141.

Lin, J. C.-C. (2007). Online stickiness: its antecedents and effect on purchasing intention. Behaviour and Information Technology, 26(6), 507-516.

doi:10.1080/01449290600740843

Lin, L., Hu, P. J.-H., Sheng, O. R. L., and Lee, J. (2010). Is stickiness profitable for electronic retailers? Communications of the ACM, 53(3), 132-136.

Madhavaram, S., Badrinarayanan, V., and McDonald, R. E. (2005). Integrated marketing communication (IMC) and brand identity as critical components of brand equity strategy: A conceptual framework and research propositions.

Journal of advertising, 34(4), 69-80.

Mangold, W. G., and Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business horizons, 52(4), 357-365.

McMillan, S. J. (2002). Exploring models of interactivity from multiple research traditions: Users, documents, and systems. Handbook of new media, 2, 205-229.

McMillan, S. J., and Hwang, J.-S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of advertising, 31(3), 29-42.

McMillan, S. J., Hwang, J.-S., and Lee, G. (2003). Effects of structural and perceptual factors on attitudes toward the website. Journal of advertising research, 43(4), 400-409.

Meyrowitz, J. (1986). Television and interpersonal behavior: Codes of perception and response. Inter/media: Interpersonal communication in a media world, 253, 272.

Morgan, R. M., and Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. The Journal of Marketing, 58, 20-38.

Mulaik, S. A., James, L. R., Van Altine, J., Bennett, N., Lind, S., and Stilwell, C. D.

(1989). Evaluation of goodnessof-fitness indices for structural equation models.

Psychological Bulletin, 105, 430–445.

Newhagen, J. E., Cordes, J. W., and Levy, M. R. (1995). Nightly@ nbc. com: Audience scope and the perception of interactivity in viewer mail on the Internet. Journal

of communication, 45(3), 164-175.

Novak, T. P., Hoffman, D. L., and Yung, Y.-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing

science, 19(1), 22-42.

O'reilly, C. A., and Roberts, K. H. (1977). Task group structure, communication, and effectiveness in three organizations. Journal of Applied Psychology, 62(6), 674.

Oliver, R. L. (1999). Whence consumer loyalty? the Journal of Marketing, 63, 33-44.

Perse, E. M., and Rubin, R. B. (1989). Attribution in social and parasocial relationships.

Communication Research, 16(1), 59-77.

Rafaeli, S. (1988). From new media to communication. Sage annual review of

communication research: Advancing communication science, 16, 110-134.

Rogers, E. M., and Agarwala-Rogers, R. (1976). Communication in organizations. New York: The Free Press

Rubin, A. M., Perse, E. M., and Powell, R. A. (1985). Loneliness, parasocial interaction, and local television news viewing. Human Communication Research, 12(2), 155-180.

Rubin, A. M., and Step, M. M. (2000). Impact of motivation, attraction, and parasocial interaction on talk radio listening. Journal of Broadcasting and Electronic

Media, 44(4), 635-654.

Ruvio, A. (2008). Unique like everybody else? The dual role of consumers' need for uniqueness. Psychology and Marketing, 25(5), 444-464.

Saini, A., and Johnson, J. L. (2005). Organizational capabilities in e-commerce: An empirical investigation of e-brokerage service providers. Journal of the

Academy of Marketing Science, 33(3), 360-375.

Schiappa, E., Allen, M., & Gregg, P. B. (2007). Parasocial relationships and television:

A metaanalysis of the effects. In R. Preiss, B. Gayle, N. Burrell, M. Allen, & J.

Bryant (Eds.), Mass Media Effects: Advances through Meta-Analysis (pp. 301-314). Mahwah: Lawrence Erlbaum Associates.

Shimp, T. A., and Madden, T. J. (1988). Consumer-object relations: A conceptual framework based analogously on Sternberg's triangular theory of love. ACR

North American Advances, 15(1), 163-168.

Shirazi, A., Zeynvand Lorestani, H., & Karimi Mazidi, A. (2013). Investigating the effects of brand identity on customer loyalty from social identity perspective. Iranian Journal of Management Studies, 6(2), 153-178.

Song, J. H., and Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of marketing, 72(2), 99-113.

Stern, B. B., Russell, C. A., and Russell, D. W. (2007). Hidden persuasions in soap operas: Damaged heroines and negative consumer effects. International

Journal of Advertising, 26(1), 9-36.

Sternberg, R. J. (1986). A triangular theory of love. Psychological review, 93(2), 119.

Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence.

Journal of communication, 42(4), 73-93.

Szmigin, I., I. Canning, and A. Reppel (2005). Online community: Enhancing the relationship marketing concept through consumer bonding. International

Journal of Service Industry Management, 19 (5), 480-496.

Thorson, K. S., and Rodgers, S. (2006). Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. Journal of

Interactive Advertising, 6(2), 5-44.

Tsao, W.-Y. (2014). Enhancing competitive advantages: The contribution of mediator and moderator on stickiness in the LINE. Journal of Retailing and Consumer

Services, 21(6), 933-941. doi:https://doi.org/10.1016/j.jretconser.2014.08.011

Ullman, J. B. (2001). Structural equation modeling. In B. G. Tabachnick and L. S. Fidell

(Eds.), Using multivariate statistics (pp. 653-771). Boston: Allyn and Bacon.

Viot, C. (2011). Can brand identity predict brand extensions' success or failure? Journal

of Product and Brand Management, 20(3),

216-227.

doi:10.1108/10610421111134941

Wei, P.-S., and Lu, H.-P. (2013). An examination of the celebrity endorsements and online customer reviews influence female consumers’ shopping behavior.

Computers in Human Behavior, 29(1), 193-201. doi:10.1016/j.chb.2012.08.005

Wu, G. (1999). Perceived interactivity and attitude toward web sites. Paper presented

at the Proceedings of the conference-American Academy of Advertising.

Wu, G. (2005). The mediating role of perceived interactivity in the effect of actual interactivity on attitude toward the website. Journal of interactive advertising,

5(2), 29-39.

Wu, J.-J., Chen, Y.-H., and Chung, Y.-S. (2010). Trust factors influencing virtual community members: A study of transaction communities. Journal of Business

Research, 63(9-10), 1025-1032. doi:10.1016/j.jbusres.2009.03.022

Xiang, L., Zheng, X., Lee, M. K., and Zhao, D. (2016). Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction. International Journal of Information Management, 36(3), 333-347.

Youn, S., and Jin, S. V. (2017). Reconnecting with the past in social media: The moderating role of social influence in nostalgia marketing on Pinterest. Journal

of Consumer Behaviour, 16(6), 565-576.

Zhang, M., Guo, L., Hu, M., and Liu, W. (2017). Influence of customer engagement with company social networks on stickiness: Mediating effect of customer value creation. International Journal of Information Management, 37(3), 229-240.

Zott, C., Amit, R., and Donlevy, J. (2000). Strategies for value creation in e-commerce::

best practice in Europe. European Management Journal, 18(5), 463-475.

附錄

圖 1 路徑模式(一)

圖 2 路徑模式 (二)

圖 3 路徑模式(三)

敬愛的先生/女士 您好:

非常感謝您於百忙中撥空填寫此問卷,這是一份關於網路紅人之態度行為 研究,目的為透過擬社會互動瞭解觀看者對網路紅人之態度行為等。希望藉由 您的填答,提供理論及實務之應用,提供後續研究參考,您的協助將為本研究 成功之關鍵,內容僅供學術之分析研究,本問卷採不記名填答,不對外公開,

請您放心作答,再次誠摯感謝您的撥冗協助!

敬祝 身體健康 順心如意

國立屏東大學 行銷與流通管理所 指導教授:曾紀幸 博士 尤松文 博士 研 究 生:吳芊築 敬上

E-Mail:

網紅定義:

藉由個人的個性魅力、互動能力或特殊事件等掀起討論,吸引 粉絲而走紅的人,其粉絲人數應高於十萬人,本研究鎖定 YouTube 上的網紅進行討論。

1 請問您聽過的網紅有哪些,請勾選 (可複選)

這群人 TGOP 蔡阿嘎 阿滴英文 阿神 聖結石 Saint 放火 Louis  小玉安啾咪 眾量級 CROWD 人生肥宅 x 尊其他(請說明_________)

2 以下網紅清單中,您最常關注的是哪一位?

這群人 TGOP 蔡阿嘎 阿滴英文 阿神 聖結石 Saint 放火 Louis  小玉安啾咪 眾量級 CROWD 人生肥宅 x 尊 其他(請說明_________)

3.依前一題答案,就您最常關注的網紅,回答下列問題,以您的認

1 我會告訴朋友有關這位網紅的事。

-請接續下一頁-基本資料

1. 性別:男 女

2. 年齡:19 歲(含)以下20-24 歲 25-29 歲 30-34 歲 35-39 歲 40-44 歲 45 歲(含)以上

3. 居住地區: 北部(基隆、台北、桃園、新竹、苗栗) 中部(台中、彰化、南投、雲林)

南部(嘉義、台南、高雄、屏東、恆春) 東部(宜蘭、花蓮、台東)

離島地區(澎湖、金門、馬祖、蘭嶼、小琉球、綠島) 4. 教育程度:

國中(含)以下 高中(職) 大學(專) 研究所以上 5. 職業:

學生一般白領(如:上班族等) 服務人員 藍領工作者(如:技術人員等)

自營商/老闆 公司管理階層 專業人士 家庭主婦 待業中 退休

其他____

6. 平均每月所得:

9,999 元(含)以下 10,000-19,999 元 20,000-29,999 元 30,000-39,999 元 40,000-49,999 元 50,000-59,999 元 60,000(含)以上

7. 每日網路使用習慣? 1 小時以下 1-2 小時 2-5 小時 5 小時以上 8. 網路使用經驗? 小於 6 個月 6-12 個月 1-2 年 2-4 年 大於 5 年

(含)以上

9. 最常用什麼平台觀看網紅? YouTube Instagram Facebook 直播平 台 其他

10. 注重網紅什麼特質?

幽默 獨特才能 專業 與粉絲互動 親民 樂觀 外貌 獨特經驗

獨特價值觀 獨特風格

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