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博碩士論文 etd-0712121-210703 詳細資訊
Title page for etd-0712121-210703
論文名稱
Title
探討營銷生成內容與用戶生成內容對網路紅人粉絲專頁吸引力之影響—以臉書為例
Explore the Influence of Marketer-Generated Content and User-Generated Content on the Attractiveness of Internet Celebrity's Facebook Fan Pages
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
72
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2021-07-28
繳交日期
Date of Submission
2021-08-12
關鍵字
Keywords
網路紅人、口碑行銷、營銷生成內容、用戶生成內容、吸引力
Internet Celebrity, Word of Mouth Marketing, Marketer-Generated Content, User-Generated Content, Attractiveness
統計
Statistics
本論文已被瀏覽 440 次,被下載 173
The thesis/dissertation has been browsed 440 times, has been downloaded 173 times.
中文摘要
在社群媒體的蓬勃發展之下,許多品牌商逐漸重視對於社群媒體上的粉絲專 業經營,開始透過不同行銷手法與不同的廣告方式吸引消費者的目光,品牌商也 開始朝向尋找網路紅人來進行廣告合作,藉由網路紅人的高關注度與粉絲數來提 高產品之銷售量,他們會請網路紅人替自己產品發布相關的推薦文或是使用心得 來產生業配營銷生成內容 (Marketer-Generated Content, MGC),然而過往的新聞與 主觀研究皆顯示了用戶或消費者對於網路紅人的業配營銷生成內容文會產生負面 的觀感,以往研究中並沒有以客觀資料從網路紅人本身作為出發點進行分析。本 研究透過 Python,爬取網路紅人臉書粉絲專頁之客觀資料進行分析,以探討當網 路紅人發布業配營銷生成內容時,是否真的會對自己的喜愛度、粉絲互動產生負 面的影響。網路紅人的用戶生成內容 (User-Generated Content, UGC)是否對網路紅 人就有正向影響。研究結果顯示: (ㄧ)業配營銷生成內容會對網路紅人的粉絲互 動產生負面影響。 (二)用戶生成內容越多也就是粉絲互動越多、吸引力越高,對 於網路紅人產生正向影響。
Abstract
Lots of brands have begun to pay attention to their fan pages on social media because of the flourishing of social media, they have begun to attract consumers' attention through different marketing strategies and different advertising methods. Brands have also begun to collaborate with internet celebrities to increase the sales of products through their high attention and followers. They ask them to post relevant recommendations for their products or the experience of using the products. It is commonly known as the Marketer-Generated Content post. However, literatures have shown that users or consumers have a negative attitude toward these Marketer-Generated Content posts. We used Python to crawl the data of internet celebrities' Facebook fan pages and analyze them to find out whether internet celebrities will have negative affect on their likes and fan interaction when they post Marketer-Generated Content posts. Whether the User-Generated Content has a positive impact on internet celebrities. The results of the research show: (1) Marketer-Generated Content posts will have negative affect on fan interaction of internet celebrities. (2) The more User-Generated Content and more Attractiveness, which has a positive impact on internet celebrities.
目次 Table of Contents
論文審定書......................................................................i
摘要.................................................................................ii
Abstract..........................................................................iii
目錄................................................................................iv
圖目錄............................................................................vi
表目錄...........................................................................vii
第一章 緒論....................................................................1
第一節 研究背景............................................................1
第二節 研究動機............................................................3
第三節 研究目的............................................................6
第四節 研究流程............................................................7
第二章 文獻探討............................................................8
第一節 網路紅人............................................................8
第二節 網路口碑行銷....................................................9
第三節 營銷生成內容..................................................10
第四節 用戶生成內容..................................................16
第五節 粉絲互動..........................................................19
第三章 研究方法..........................................................21
第一節 研究架構..........................................................21
第二節 研究對象..........................................................26
第三節 資料搜集與處理..............................................31
第四節 業配貼文判斷準則..........................................33
第四章 資料分析..........................................................37
第一節 分析工具..........................................................37
第二節 變數說明..........................................................37
第三節 模型說明與檢定..............................................44
第四節 模型結果討論..................................................50
第五章 結論與建議......................................................54
第一節 學術貢獻..........................................................54
第二節 實務貢獻..........................................................55
第三節 研究限制與未來建議......................................55
參考文獻.......................................................................57
參考文獻 References
1 2020 年 KOL Radar 五大影響力網紅. (2020). Retrieved from https://www.kolradar.com/billboard/2020-tw-top100-kol
2 台灣數位廣告量統計報告. (2019). Retrieved from https://drive.google.com/file/d/1w_aq64aik5-fvb3tc3l_ua7szgldhar0/view
3 車庫一姊. (2019). 網紅行不行?從微網紅崛起來看成長期的網紅生態圈. Retrieved from https://www.bnext.com.tw/article/55566/youtuber-ok-or-not-ok
4 理科太太 (2021). Retrieved from https://www.youtube.com/channel/uchfy_eozb1i57hylsw_rymg
5 黃啟菱. (2020). 486 團購網創辦人、知名網紅 486 先生:對的事,就要堅持. Retrieved from https://today.line.me/tw/v2/article/yw9dv6
6 楊千慧, & 黃美婷. (2015). 運用修正式德菲法及層級分析法探討團購行為之 關鍵因素. 中華管理評論, 18(1), 1-30.
7 楊念文. (2020). 口碑行銷有助管理網路聲譽,培養品牌信任感,讓顧客樂於 談論你. Retrieved from https://www.bnext.com.tw/article/59744/wom-brand
8 楊運秀, & 郭芳伃. (2017). 網紅業配文的說服效果: 懷疑人格, 熟悉度及專業 性的影響. 行銷評論, 14(2), 163-189.
9 路易莎咖啡臉書粉專 (2018). Retrieved from https://www.facebook.com/louisacoffeeofficial/posts/1721086984622519
10 公平交易委員會. (2017). 公平交易委員會對於薦證廣告規範. Retrieved from
https://www.ftc.gov.tw/internet/main/doc/docdetail.aspx?uid=165&docid=13021
11 維基百科 1. (2021). 滴妹. Retrieved from https://zh.wikipedia.org/wiki/%e6%bb%b4%e5%a6%b9
12 維基百科 2. (2021). 蔡阿嘎. Retrieved from https://zh.wikipedia.org/wiki/%e8%94%a1%e9%98%bf%e5%98%8e
13 維基百科 3. (2021). 這群人. Retrieved from https://zh.wikipedia.org/wiki/%e9%80%99%e7%be%a4%e4%ba%batgop
14 維基百科 4. (2021). 黃阿瑪的後宮生活. Retrieved from https://zh.wikipedia.org/wiki/%e9%bb%83%e9%98%bf%e7%91%aa%e7%9a%84 %e5%be%8c%e5%ae%ae%e7%94%9f%e6%b4%bb
15 網紅 林進臉書粉專 (2021). Retrieved from https://www.facebook.com/fanslingin/posts/314280470057569
16 網紅 蔡阿嘎臉書粉專 (2021). Retrieved from https://www.facebook.com/withgalovetaiwan/posts/312920850204366
17 網紅 Joeman 臉書粉專 (2021a). Retrieved from https://www.facebook.com/joemanstation/posts/281602760003902
18 網紅 Joeman 臉書粉專 (2021b). Retrieved from https://www.facebook.com/joemanstation/posts/294483945382450
19 網紅 Joeman 臉書粉專 (2021c). Retrieved from https://www.facebook.com/joemanstation/posts/329875518509959
20 網紅數據平台 KOL Radar 網紅聲量報告. (2019). Retrieved from https://www.kolradar.com/billboard
21 網路溫度計. (2019). 名家論壇》網路溫度計/《理科太太》過氣了?. Retrieved from
https://tw.news.yahoo.com/news/%e5%90%8d%e5%ae%b6%e8%ab%96%e5%a3 %87-%e7%b6%b2%e8%b7%af%e6%ba%ab%e5%ba%a6%e8%a8%88-%a7%90 %86%e7%a7%91%e5%a4%aa%e5%a4%aa-%e9%81%8e%e6%b0%a3%e4%ba% 86-120021087.html
22 Abidin, C. (2018). Internet celebrity: Understanding fame online. Bingley: Emerald Group Publishing.
23 Anghelcev, G. (2015). Unintended effects of incentivizing consumers to recommend a favorite brand. Journal of Marketing Communications, 21(3), 210-223.
24 Babacan, E., Akcali, S. İ., & Baytekin, E. P. (2012). Product placement as a rising marketing communication activity: An assessment on television serials. Procedia-Social and Behavioral Sciences, 62, 1319-1331.
25 Balasubramanian, S. K. (1994). Beyond advertising and publicity: Hybrid messages and public policy issues. Journal of Advertising, 23(4), 29-46.
26 Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 495-497.
27 Bigham, L. (2007). Driving word of mouth advocacy among business executives: The experimental marketing connection. Retrieved from https://www.jackmorton.com/news-ideas/
28 Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). This post is sponsored: Effects of sponsorship disclosure on persuasion knowledge and
electronic word of mouth in the context of facebook. Journal of Interactive Marketing, 38, 82-92.
29 Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230.
30 Brodmerkel, S., & Carah, N. (2013). Alcohol brands on Facebook: The challenges of regulating brands on social media. Journal of Public Affairs, 13(3), 272-281.
31 Chen, & Yuan. (2020). Psychology of word of mouth marketing. Current Opinion in Psychology, 31(1), 7-10.
32 Chin. (1998). Issues and opinion on structural equation modeling management. Information Systems Quarterly, 22(1), 19-24.
33 Chin, Lu, H.-P., & Wu, C.-M. (2015). Facebook users' motivation for clicking the “like” button. Social Behavior and Personality, 43(4), 579-592.
34 Chu, S.-C., Chen, H.-T., & Sung, Y. (2016). Following brands on Twitter: An extension of theory of planned behavior. International Journal of Advertising, 35(3), 421-437.
35 Clary, E. G., Snyder, M., Ridge, R. D., Copeland, J., Stukas, A. A., Haugen, J., & Miene, P. (1998). Understanding and assessing the motivations of volunteers: A functional approach. Journal of Personality and Social Psychology, 74(6), 15-16.
36 Cowley, E., & Barron, C. (2008). When product placement goes wrong: The effects of program liking and placement prominence. Journal of Advertising, 37(1), 89-98.
37 Craney, T. A., & Surles, J. G. (2002). Model-dependent variance inflation factor cutoff values. Quality Engineering, 14(3), 391-403.
38 Daugherty, T., Eastin, M. S., & Bright, L. (2008). Exploring consumer motivations for creating user-generated content. Journal of Interactive Advertising, 8(2), 16-25.
39 Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of Marketing Management, 15(4), 291-314.
40 Gageler, L., & van der Schee, J. (2016). Product placement on social media: A study on how generation Y's brand perception and purchase intention are influenced. Jönköping University, Jönköping International Business School,
41 Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: An update and extension to SEM guidelines for administrative and social science research. MIS Quarterly, 35(2), 3-14.
42 Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32(6), 407-424.
43 Geng, R., Wang, S., Chen, X., Song, D., & Yu, J. (2020). Content marketing in e-commerce platforms in the internet celebrity economy. Industrial Management and Data Systems, 120(3), 464-485.
44 Goh, K.-Y., Heng, C.-S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content. Information Systems Research, 24(1), 88-107.
45 Gopinath, S., Thomas, J. S., & Krishnamurthi, L. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241-258.
46 Gottlieb, J. (2010). Assisting customers through social media. Retrieved from http://www.roiresearch.com/blog/post/2011/01/17/Assisting-Customers-Through-S ocial-Media.aspx
47 Gupta, P. B., & Gould, S. J. (1997). Consumers' perceptions of the ethics and acceptability of product placements in movies: Product category and individual differences. Journal of Current Issues & Research in Advertising, 19(1), 37-50.
48 Gupta, P. B., & Lord, K. R. (1998). Product placement in movies: The effect of prominence and mode on audience recall. Journal of Current Issues & Research in Advertising, 20(1), 47-59.
49 Halaszovich, T., & Nel, J. (2017). Customer–brand engagement and Facebook fan-page “Like”-intention. Journal of Product and Brand Management, 26(2), 120-134.
50 Hambrick, M. E., & Mahoney, T. Q. (2011). Its incredible–trust me: Exploring the role of celebrity athletes as marketers in online social networks. International Journal of Sport Management and Marketing, 10(3-4), 161-179.
51 Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word of mouth via consumer opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52.
52 Hsu, C. L., Lin, J. C. C., & Chiang, H. S. (2013). The effects of blogger recommendations on customers’ online shopping intentions. Internet Research: Electronic Networking Applications and Policy, 23(1), 69-88.
53 Hung, K., Chan, K. W., & Caleb, H. T. (2011). Assessing celebrity endorsement effects in China: A consumer-celebrity relational approach. Journal of Advertising Research, 51(4), 608-623.
54 Influencer Marketing Hub. (2020). Retrieved from https://influencermarketinghub.com/influencer-marketing-statistics/
55 Ingram, A. (2006). The challenge of ad avoidance. Admap Magazine, May (472), 30.
56 IZEA. (2020). Retrieved from https://izea.com/influencers/instagram/
57 Johnson, T. J., & Kaye, B. K. (1998). Cruising is believing?: Comparing internet and traditional sources on media credibility measures. Journalism & Mass Communication Quarterly, 75(2), 325-340.
58 Kamins, M. A. (1990). An investigation into the “match-up” hypothesis in celebrity advertising: When beauty may be only skin deep. Journal of Advertising, 19(1), 4-13.
59 Kaplan, A., & Haenlein, M. (2010). Users of the world, unite: The challenges and opportunities of social Media. Business Horizons, 53, 59-68.
60 Karrh, J. A. (1998). Brand placement: A review. Journal of Current Issues & Research in Advertising, 20(2), 31-49.
61 Kelly, L., Kerr, G., & Drennan, J. (2010). Avoidance of advertising in social networking sites: The teenage perspective. Journal of Interactive Advertising, 10(2), 16-27.
62 Kim, M., & Song, D. (2018). When brand-related UGC induces effectiveness on social media: The role of content sponsorship and content type. International Journal of Advertising, 37(1), 105-124.
63 Lambrecht, A., Tucker, C., & Wiertz, C. (2018). Advertising to early trend propagators: Evidence from Twitter. Marketing Science, 37(2), 177-199.
64 Lee, Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management Science, 64(11), 5105-5131.
65 Lee, Rodgers, S., & Kim, M. (2009). Effects of valence and extremity of eWOM on attitude toward the brand and website. Journal of Current Issues & Research in Advertising, 31(2), 1-11.
66 Liljander, V., Gummerus, J., & Söderlund, M. (2015). Young consumers’ responses to suspected covert and overt blog marketing. Internet Research, 25(4), 610-632.
67 Lin, X., Li, Y., & Wang, X. (2017). Social commerce research: Definition, research themes and the trends. International Journal of Information Management, 37(3), 190-201.
68 Lu, L.-C., Chang, W.-P., & Chang, H.-H. (2014). Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness. Computers in Human Behavior, 34, 258-266.
69 Malhotra, A., Malhotra, C. K., & See, A. (2013). How to create brand engagement on Facebook. MIT Sloan Management Review, 54(2), 18-20.
70 Marina Choi, S. (2011). Guest editorial: Advertising and social media. International Journal of Advertising, 30(1), 11-12.
71 Mayrhofer, M., Matthes, J., Einwiller, S., & Naderer, B. (2020). User generated content presenting brands on social media increases young adults’ purchase intention. International Journal of Advertising, 39(1), 166-186.
72 McCormick, K. (2016). Redefining the celebrity: Self-made versus manufactured celebrity endorsers impact on consumers attitudes and purchase intentions. Fashion, Style & Popular Culture, 3(3), 339-356.
73 McCoy, S., Everard, A., Polak, P., & Galletta, D. F. (2007). The effects of online advertising. Communications of the ACM, 50(3), 84-88.
74 McGuire, W. J. (1985). Attitudes and Attitude Change. In G. Lindzey & E.Aronson (Eds.), Handbook of social psychology (3 ed., Vol. 2, pp. 233-346). New York: Random House.
75 Mittal, B. (1994, 1994 January-February). Public assessment of tv advertising: Faint praise and harsh criticism. Journal of Advertising Research, 34(1), 25-35.
76 Moorman, C. (2016). Social media spending triples but falls short of expectations. The CMO Survey. Retrieved from https://cmosurvey.org/social-media-spending-triples-falls-short-expectations/
77 Moriarty, S. E., & Everett, S.-L. (1994). Commercial breaks: A viewing behavior study. Journalism Quarterly, 71(2), 346-355.
78 Muñiz Jr, A. M., & Schau, H. J. (2011). How to inspire value-laden collaborative consumer-generated content. Business Horizons, 54(3), 209-217.
79 Murdough, C. (2009). Social media measurement: It’s not impossible. Journal of Interactive Advertising, 10(1), 94-99.
80 Nadkarni, A., & Hofmann, S. G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3), 243-249.
81 Newberry, C. (2018). A long list of Facebook statistics that matter to social marketers. Retrieved from https://blog.hootsuite.com/facebook-statistics/
82 Nicholls, J. (2012). Everyday, everywhere: Alcohol marketing and social media—current trends. Alcohol and Alcoholism, 47(4), 486-493.
83 Nielsen. (2014). Retrieved from https://www.nielsen.com/tw/zh/insights/report/2014/social-media-insights-by-gene ration-2014/#
84 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.
85 Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67.
86 Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 51-59.
87 Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's comments: A critical look at the use of pls-sem in" MIS Quarterly". MIS Quarterly, 36(1), 3-14.
88 Russell, C. A. (1998). Toward a framework of product placement: Theoretical propositions. Advances in Consumer Research, 25, 357-362.
89 Seiler, R., & Kucza, G. (2017). Source credibility model, source attractiveness model and match-up-hypothesis: An integrated model. Journal of International Scientific Publications: Economy & Business, 11(1), 1-15.
90 Smith, A., Fischer, E., & Yongjian, C. (2012). How does brand-related user-generated content differ across YouTube, Facebook, and Twitter? Journal of Interactive Marketing, 26, 102–113.
91 Socialbakers. (2020). Social media trends report. Retrieved from https://www.socialbakers.com/blog/social-media-trends-report-q4-2020
92 Song, T., Huang, J., Tan, Y., & Yu, Y. (2019). Using user- and marketer-generated content for box office revenue prediction: Differences between microblogging and third-party platforms. Information Systems Research, 30(1), 191-203.
93 Stelzner, M. A. (2011). Social media marketing industry report. Social Media Examiner, 41(1), 1-10.
94 Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of Marketing Research, 47(2), 215-228.
95 Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90-102.
96 Verna, P. (2007). User-generated content: Will Web 2.0 pay its way? Journal of Business Research, 11, 257-269.
97 Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
98 Watch, M. (2006). A-list celebrity endorsements are failing to dazzle consumers. Global Round-Up, 5(9), 29-30.
99 We Are Social. (2020). Retrieved from https://wearesocial.com/digital-2020
100 Yang, M., Ren, Y., & Adomavicius, G. (2019). Understanding user-generated content and customer engagement on Facebook business pages. Information Systems Research, 30(3), 839-855.
101 Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems, 55(4), 919-926.
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