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研究生：	賀少俠 Sascha Heusermann
論文名稱：	病毒式影片的關鍵成功因素–尋出內在病毒潛力的藍圖 Common success factors of viral videos – Finding the blueprint for Innate Virality Potential
指導教授：	陳文華 Chen, Wun-Hwa 施人英 Shih, Jen-Ying
學位類別：	碩士 Master
系所名稱：	全球經營與策略研究所 Graduate Institute of Global Business and Strategy
論文出版年：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	52
中文關鍵詞：	病毒式行銷、病毒性、病毒潛力、影片分享、Youtube
英文關鍵詞：	viral marketing, virality, viral potential, video sharing, Youtube
論文種類：	學術論文
相關次數：	點閱：134 下載：18
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With more and more people gaining fast and stable internet access all over the world and the rise of websites like Youtube, it becomes very lucrative for marketers to use online video content to spread marketing messages. Using video streaming websites for marketing can have many advantages compared using traditional TV advertisements; for instance, much lower costs and vaster reach. Although viral marketing and social media have been hot topics in social science and marketing research for several years, little research has been conducted to analyze the quality of the content that becomes popular on social networking sites and video streaming websites. While most prior studies have discussed the environmental circumstances that play a role in creating a successful viral marketing campaign, this research tries to shed a light on the quality of content that is shared through social media and Youtube in particular. By analyzing viewer reaction to six highly successful viral videos, this paper aims to find what properties determine a video’s audience appeal. With this knowledge, we may find common success factors that could possibly be vital for the creation of viral videos in general – a checklist of things marketers or individuals should do to achieve high innate virality potential.

ACKNOWLEDGEMENTS..................................... I
ABSTRACT............................................ II
TABLE OF CONTENTS.................................. III
LIST OF FIGURES..................................... IV
LIST OF TABLES....................................... V
CHAPTER 1: INTRODUCTION.............................. 1
1.1 Word-of-mouth and viral marketing................ 1
1.2 Virality and the significance of Youtube......... 5
CHAPTER 2: THEORETICAL FRAMEWORK.................... 12
   2.1 Prior research............................... 12
   2.2 Hypotheses................................... 19
CHAPTER 3: RESEARCH METHODOLOGY..................... 24
CHAPTER 4: RESULTS OF STATISTICAL ANALYSIS.......... 29
CHAPTER 5: DISCUSSION AND IMPLICATIONS.............. 39
REFERENCES.......................................... 44
APPENDIX............................................ 47

Figure 1-1: Relationship between word of mouth
and viral marketing.................................. 3
Figure 1-2: The three basic conditions for creating
a viral marketing epidemic.......................... 10
Figure 2-1: Motivations to forward online content............................................. 16
Figure 2-2: Simplicity, Sensory Impact and Novelty influencing Emotional Impact........................ 19
Figure 2-3: Novelty, Sensory and Emotional Impact influencing Provocative Power....................... 20
Figure 2-4: Degree of User Involvement and Simplicity influencing Provocative Power....................... 21
Figure 2-5: Staying Power influencing Provocative Power............................................... 22
Figure 2-6: The proposed Model of Innate Virality Potential........................................... 23
Figure 4-1: Ease of Understanding................... 30
Figure 4-2: Visual stimulus grouped by gender....... 30
Figure 4-3: User Involvement........................ 31
Figure 4-4: Positive Emotional Impact............... 32
Figure 4-5: Negative Emotional Impact............... 32
Figure 4-6: Provocative Power grouped by
participants' native languages...................... 33
Figure 4-7: The adjusted model of Innate Virality Potential........................................... 38
Figure 5-1: Provocative Power, outside factors and sharing............................................. 42

Table 4-1: Correlation analysis........................ 34
Table 4-2: Regression Analysis of Ease of Understanding, Sensory Impact, and Novelty in relation with emotional impact................................................. 35
Table 4-3: Regression Analysis of Ease of Understanding, Sensory Impact, and Novelty in relation with emotional impact................................................. 36
Table 4-4: Regression Analysis of Ease of Understanding, Sensory Impact, and Novelty in relation with emotional impact................................................. 36
Table 4-5: Regression analysis of Provocative power................................................. 37
Table 4-6: Regression analysis of Provocative power................................................. 37
Table 4-7: Regression analysis of Provocative power................................................. 37

                                

Bagozzi, R.P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244-254.
Beckmann, S.C., & Bell, S., (2000). Viral Marketing = word-of-mouth marketing on the internet? (And a case story from the Nordic countries). Visionary marketing for 21st century problems. O’Cass, A. Gold Coast, Queensland, Australia, Griffith University.
Berger, J., & Milkman, K. L., (2012). What Makes Online Content Viral?. Journal of Marketing Research, 49 (2), 192-205.
Childers, T. L., Carr, C. L., Joann Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511-535.
Chiu, H-C., Hsieh, Y-C., Kao, Y.-H., & Lee, M. (2007). The determinants of email receivers’ disseminating behaviors on the Internet. Journal of Advertising Research, 47(4), 524-534.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 88, 475-487.
Denizet-Lewis, B. (2006). The man behind Abercrombie & Fitch. Salon. (Retrieved from http://www.salon.com/2006/01/24/jeffries/)
Dobele, A., Toleman, D., & Beverland, M. (2005). Controlled infection! Spreading the brand message through viral marketing. Business Horizons, 48, 143-149
Dobele, A., Lindgreen, A., Beverland, M., Vanhamme, J., & van Wijk, R. (2007). Why pass on viral messages? Because they connect emotionally. Business Horizons, 50, 291-304
Godin, S. (2000). Unleashing the Ideavirus. eBook, Do You Zoom, Inc.
Hirsh, L. (2001). Tell a friend: Viral marketing packs clout online. E-Commerce Times (Retrieved from http://www.ecommercetimes.com/perl/story/14295.html).
Ho, J. Y. C., & Dempsey, M, (2009). Viral Marketing: Motivations to forward online content. Journal of Business Research, 63, 1000-1006.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53, 59-68.
Kaplan, A. M., & Haenlein, M. (2011). Two hearts in three-quarter time: How to waltz the social media/viral marketing dance. Business Horizons, 54, 253-263.
Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. Glencoe, IL: The Free Press.
Learmonth, M. (2010). Viral Old Spice 'Responses' Crush Original Ads in Online Views. Advertising Age. Retrieved from (http://adage.com/article/the-viral-video-chart/viral-spice-responses-crush-original-ads-web-views/145015/)
Lutz, A., (2013). Abercrombie & Fitch Refuses To Make Clothes For Large Women. Business Insider. (Retrieved from http://www.businessinsider.com/abercrombie-wants-thin-customers-2013-5)
Marsden, P. (2000). The ‘Werther Effect’: Fact or Fantasy? Media Contagion and Suicide in the Internet Age: Critical evaluation, theoretical reconceptualisation and empirical investigation. DPhil Research Thesis, Graduate Research Centre in the Social Sciences, University of Sussex.
Meerman Scott, D. (2008). The new rules of viral marketing: How word-of-mouse spreads your ideas for free. E-book (retrieved from http://www.davidmeermanscott.com/documents/Viral_Marketing.pdf)
Modzelewski, M. (2000). Finding a cure for viral marketing. Direct Marketing News, 2000-09-11. (Retrieved from http://www.dmnews.com/finding-a-cure-for-viral-marketing-ills/article/68355/)
Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 23(2), 242-266.
Nalts, K. (2010). Exclusive: How Much Money YouTube Partners Make. Willvideoforfood.com. (Retrieved from http://willvideoforfood.com/2010/01/05/exclusive-how-much-money-youtube-partners-make/
Oatley, K., & Jenkins, J. M. (1996). Understanding emotions. Boston: Blackwell Publishers.
Phelps, J. E., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4), 333-348.
Plutchik, R. (1980). Emotion: A psychoevolutionary synthesis. New York: Harper and Row.
Rimé, B., Philippot, P., Boca, S., & Mesquita, B. (1992). Long lasting cognitive and social consequences of emotion: Social sharing and rumination. European review of social psychology, 3, 225-258.
Rimé, B., Finkenhauer, C., Luminet, O., Zech, E., & Philippot, P. (1998). Social sharing of emotions: New evidence and new questions. European review of social psychology, 9, 145-189.
Schutz, W. (1958). FIRO: A Three-Dimensional Theory of Interpersonal Behavior. New York, NY: Rinehart.
Shankar, V., & Hollinger, M. (2007). Online and Mobile Advertising: Current Scenario, Emerging Trends, and Future Directions. (Retrieved from http://www.venkyshankar.com/wp-content/uploads/2012/10/Shankar_Hollinger_MSl_2007.pdf)
Shih, S.-P., (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management, 41, 351-368.
Smith, T., Coyle, J. R., Lightfoot, E., & Scott, A. (2007). Reconsidering models of influence: The relationship between consumer social networks and word-of-mouth effectiveness. Journal of Advertising Research, 47(4), 387-397.
Swanepoel, C., Lye, A., & Rugimbana, R. (2009). Virally inspired: A review of the theory of viral stealth marketing. Australasian Marketing Journal, 17, 9-15.

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