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研究生:唐佑傑
研究生(外文):Yu-Chieh Tang
論文名稱:探討商業意圖、幽默、以及媒體豐富度對病毒式行銷訊息轉寄意圖的影響
論文名稱(外文):The Effects of Commercial Intention, Humor, and Media Richness on Receivers' Forward Intention in Internet Viral Marketing Campaigns
指導教授:謝依靜謝依靜引用關係
學位類別:碩士
校院名稱:國立中央大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:42
中文關鍵詞:病毒式行銷口碑行銷商業意圖幽默媒體豐富度訊息態度轉寄意圖
外文關鍵詞:word-of-mouthviral marketinghumormedia richnessattitudeintention to forwardcommercial intention
相關次數:
  • 被引用被引用:6
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  • 收藏至我的研究室書目清單書目收藏:4
病毒式行銷主要是藉由電子郵件之類的網際網路通路來傳播的口碑,因此也稱為電子口碑行銷。網際網路的無遠弗屆,讓病毒式行銷可以在行銷訊息的傳播上獲得指數性的成長潛能。而病毒式行銷的成功關鍵,在於行銷訊息接收者是否願意轉寄該行銷訊息。正因為行銷訊息接收者的轉寄意願相當重要,本研究檢驗了商業意圖、幽默、以及媒體豐富度這三個關鍵因素對訊息接收者的轉寄意圖所產生的影響。
本研究採用了網路實驗設計的方式,對台灣的網際網路使用者進行網路實驗。實驗的結果揭露了四個行銷人員所必須了解的重要意涵。第一,訊息接收者對行銷訊息的態度(訊息態度)會對其轉寄該行銷訊息的意圖產生正面影響,而且對行銷訊息態度還調節了三個關鍵因素對轉寄意圖的影響,扮演著中介變數的角色。第二,隨著寬頻網路傳輸的蓬勃發展,網路使用者對電子郵件裡行銷訊息所佔的位元組空間並不十分在乎,本研究顯示行銷訊息所佔的檔案大小並不會造成訊息接收者轉寄意圖的降低。第三,行銷訊息所顯現的商業意圖,會同時降低訊息接收者的訊息態度和轉寄意圖。第四,本研究結果指出幽默感和媒體豐富度對訊息接收者的訊息態度會有正面的影響。因此,行銷人員應該加強網路行銷訊息的幽默感,並利用豐富的聲光媒體來包裝行銷訊息。
Viral marketing, also called electronic word-of-mouth (E-WOM), is word of mouth disseminated mainly through Internet channels, such as e-mail. Facilitated with the borderless Internet, viral marketing could create potential for exponential growth in the delivery of marketing messages to thousands of people. Whether a viral marketing program can succeed or not depends on receivers' willingness to pass along the viral marketing message. In response to the importance of the receivers' intention to forward, this study examined the effects of three critical determinants, commercial intention, humor, and media richness, on receivers' forward intention.
This study conducted an Internet-based experimental design in Taiwan, and the results showed four essential insights. First, receivers' attitude toward the message does have positive impact on their intention to forward this message, and the attitude toward the message acts as a mediator, mediating the effects of the three determinants on forward intention. Second, with the prevalence of broadband transmission, Internet users don't care how many bytes this viral marketing message takes up. Third, the commercial intention of the message would significantly hinder receivers' intention to forward. Fourth, humor and media richness are both proven good for evoking favorable attitude and better forward intention.
Ch 1 - Introduction.....................................................................................................II
Ch 2 - Conceptual background...................................................................................4
2.1 Viral marketing.............................................................................................4
2.2 Forward Intention.........................................................................................7
2.3 Attitude Toward Message............................................................................8
2.4 Commercial Intention...................................................................................9
2.5 Humor..........................................................................................................10
2.6 Media Richness............................................................................................12
2.8 Research model...........................................................................................15
Ch 3 - Research methods...........................................................................................16
3.1 Pretest...........................................................................................................17
3.2 Experiment..................................................................................................18
3.2.1 Sample and data collection............................................................18
3.2.2 Procedure........................................................................................18
3.3 Measures......................................................................................................19
3.3.1 Commercial Intention....................................................................19
3.3.2 Humor.............................................................................................19
3.3.3 Media Richness...............................................................................20
3.3.4 Transmission Difficulty.................................................................20
3.3.5 Attitude toward Message...............................................................20
3.3.6 Forward Intention..........................................................................21
3.4 Scale validity................................................................................................21
3.4 Confirmatory factor analysis (CFA).........................................................23
Ch 4 - Analysis............................................................................................................25
4.1 Manipulation checks...................................................................................25
4.2 Hypotheses testing.......................................................................................25
4.3 Mediation effects testing.............................................................................28
Ch 5 - Conclusion.......................................................................................................31
5.1 Discussion....................................................................................................31
5.2 Managerial Implications............................................................................33
5.3 Limitation and Future directions..............................................................35
References...................................................................................................................37
I
List of Tables
Table 1 : Factor loadings and Cronbach’s alpha of the relational bonds.............22
Table 2 : Average Variance Extracted (AVE)..........................................................24
Table 3 : φ (Phi square)2...........................................................................................24
Table 4 : Over model fit statistics.............................................................................26
Table 5: Hypotheses testing results...........................................................................28
Table 6 : Direct, Indirect and Total Effects (Completely Standardized)...............30
List of Figures
Figure 1 : Theoretical Model.....................................................................................15
Figure 2 : Standardized estimates and T values of the hypothesized model........27
1. 李惠晴 (2001),電子郵件使用者的轉寄行為研究,淡江大學大眾傳播所碩士論文
1. Bansal, H. S., and Voyer, P. A., “Word-of-mouth processes within a services purchase decision context,” Journal of Service Research, 3, 2, (2000), 166-177.
2. Batra, Rajeev and Michael L. Ray, “How advertising works at contact,” Psychological Processes and Advertising Effects, (1985), 13-43.
3. Burke, K. and L. Chidambram, “How much bandwidth in enough? A longitudinal examination of media characteristics and group outcomes,” MIS Quarterly, 23, 3, (1999), 79-557
4. Carlson, J.R. and R.W. Zmud, “Channel expanion theory and the experimental nature of media richness perceptions,” The Academic of Management Journal, 42, 2, (1999), 70-153.
5. Chidambram, L., “Relational development in computer-supported groups,” MIS Quarterly, 20, 2, (1996), 65-143.
6. Cline, Thomas, Moses Altsech, and Jamse Kellaris, “When dose humor enhance or Inhibit ad response,” Journal of Advertising, 32, 3, (2003), 31-45.
7. Coyle, J.R. and E. Thorson, “The effects of progressive levels of interactivity and vividness in Web marketing sites,” Journal of Advertising, 30, 3, (2001), 65-77
8. Daft, R.L. and R.H. Lengel, “Information richness: A new approach to managerial behavior and organization design,” Research in Organizational Behavio , 6, (1984), 191-223.
9. Davidow, M, “Have you heard the word? The effect of word of mouth on perceived justice, satisfaction and repurchase intention following complaint handling,” Journal of Consumer Satisfaction, Dissatisfaction and Complaining
37
Behaviors, 16, (2003), 67-80.
10. Dennis, A.R. and S.T. Kinney, “Testing media richness theory in the new media: the effects of cues, feedback, and task equivocality,” Information System Research, 9, 3, (1998), 74-256.
11. Doll, Jork and Icek Ajzen, “Accessibility and stability of predictors in the theory of panned behavior,” Journal of Personality and Social Psychology, 63, 5, (1992), 754-762.
12. El-Shinnawy, M. and M.L. Markus, “Acceptance of communication media in organizations: richness or features?,” IEEE Transactions on Professional Communication, 41, 4, (1998), 53-242.
13. Ferry, Diane, Christine Kydd, and John Sawyer, “Measuring facts of media richness,” The Journal of Computer Information system, 41, 4, (2001), 69-78.
14. Greenwald, A., “Cognitive learning, cognitive response to persuation, and attitude change,” Psychological Foundations of Attitudes, (1968), 70-147.
15. Harrison-Walker, L.J., “The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents,” Journal of Service Research, 22, 3, (1993), 59-74
16. Hovland, Carl I., Janis, Irving L. and Kelley, Harold H. (1953), “Communication and persuasion: Psychological studies of opinion change,” New Haven, CT: Yale University Press.
17. Isen, Alice, “Toward understanding the role of affect in cognition,” Handbook of Social Cognition, 3, (1984), 179-236.
18. Laczniak, R.N., D.D. Muehling , “The relationship between experimental manipulations and tests of theory in an advertising message involvement context,” Journal of Advertising, 22, 3, (1993), 59-74
19. Lasswell, Harold D. (1948). “The structure and function of communication in
38
society,” In Bryson, L. (Ed.), The communication of ideas. New York: Harper. (Reprinted in Scramm, W. (Ed.). (1960). Mass communication (pp.117-130). Urbana, IL: University of Illinois Press).
20. MacKenzie, Scott, and Richard Lutz, “An examination of the structural antecedents of attitude toward the ad in an advertising pretesting context,” Journal of Marketing, 53, (1989), 48-65.
21. Madden, Thomas and Marc G. Weinberger, “The effects of humor on attention in magazine advertising,” Journal of Advertising, 11, 3, (1982), 8-14.
22. Marmon, Robert, and Kenneth Coney, “The persuasive effects of source credibility in buy and lease situations,” Journal of Marketing Research, 19, 2, (1982), 255-260.
23. McGhee, Paul E, “Cognitive mystery and children's humor,” Psychological Bulletin, 81, 10, (1974), 721-730.
24. Petty, Richard, David Schumann, Steven Richman, and Alan Strathman, “Positive mood and persuasion: Different roles for affect under high- and low-elaboration conditions,” Journal of Personality and Social Psychology, 64, 1, (1993), 5-20.
25. Pinsonneault, A., Li, S. and Z. Ouyang, “A study of the effects of Website richness on learning about products and browsing satisfaction,” working paper, McGill University, Montreal (2002).
26. Phelps, Joseph E., Regina Lewis, Lynne Mobilio, David Perry, and Niranjan Raman, “Viral marketing or electronic word-of-mouth advertising: examining consumer responses and motivations to pass along e-mails,” Journal of Advertising Research, (2004), 333-348.
27. Rossiter, John, and Larry Percy, Advertising Communications and Promotion Management, 2nd ed., Mew York: McGraw Hill, 299, 241-242.
39
28. Sallot, Lynne, “What the public thinks about public relations: An impression management experiment,” Journalism and Mass Communication Quarterly, 79, 1, (2002), 150-163.
29. Silverman George, “The power of word of mouth,” Secrets of Word-of-Mouth Marketing, (2001), 47-52.
30. Simon, Steven, and Spero Peppas, “An examination of media richness theory in product Website design: an empirical study,” The Journal of policy, Regulation and Strategy for Telecommunication, 6, 4, (2004), 270-281.
31. Speck, Paul Surgi, “On humor and humor in advertising,” Unpublished doctoral dissertation, Texas Tech University, (1987).
32. Spotts, Harlan, Weinberger Marc, and Amy Parsons, “Assessing the use and impact of humor on advertising effectiveness: A Contingency Approach,” Journal of Advertising, 26, 3, (1997), 17-32.
33. Szymanski, D. M and R. T. Hise, (2000) E-Satisfaction: An Initial Examination, Journal of Retailing, 76(3), pp. 309-322.
34. Trevino, L., R. Daft and R. Lengel, “Understanding managers' media choices : a symbolic interactionist perspective,” Organization and Technology, (1990)
35. Vickery, Shawnee, Cornelia Droge, Theodore Stank, Thomas Goldsby, and Robert Markland, “The performance of implications of media richness in a business-to-business service environment: direct versus indirect effects,” Management Science, 50, 8, (2004), 1106-1119.
36. “Viral + Buzz Marketing Association Announces Mission and Principles,” PR Newswire (2004).
37. Walsh, Glanfranco, and Kevin P. Gwinner, “Electronic word-of-mouth via consumer-opinion platform: What motivates consumers to articulate themselves on the Internet,” Journal of Interactive Marketing, 18, 1, (2004), 38-52.
40
38. Webb, D.J., C.L. Green, T.G. Brashear, “Development and validation of scales to measure attitude influencing monetary donation to charitable organizations,” Academy of Marketing Science, 28, 2, (2000), 299-309
39. Weinberger, Marc G. and Leland Campbell, “The use and impact on humor in radio advertising,” Journal of Advertising Research, 31, (1991), 44-52.
40. Wicker, Frank W., William L. Barron, and Amy C. Willis, “Disparagement humor: disparagement and resolutions,” Journal of Personality and Social Psychology, 39, 4, (1980), 701-709.
41. Wirtz, Jochen, and Patricia Chew, “The effects of incentives, deal proneness, satisfaction and tie strength on word-of-mouth behavior,” International Journal of Service Industry Management, 13, 2, (2002), 141-162.
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1. 吳宜侃,2005。「立法委員連任預測模型分析—以第四屆立法委員為例」,選舉研究,
2. 何金銘,1994。「勝選因素:北高兩市二屆立委選舉比較研究」,選舉研究,1(1):
3. 洪永泰,1994。「選舉預測:一個以整體資料為輔助工具的模型」,選舉研究,1(1):
4. 吳重禮、許文賓,2003。「誰是政黨認同者與獨立選民?以2001年臺灣地區選民政黨認同的決定因素為例」,政治科學論叢。
5. 何思因,1991。「影響我國選民投票抉擇的因素」,東亞季刊,23(2):39-50。
6. 何思因,1992。「我國選民的政黨偏好」,東亞季刊,24(1):51-62。
7. 何思因,1994。「臺灣地區選民政黨偏好的變遷:1989-1992」,選舉研究,1(1):39-52。
8. 盛杏湲,1997a。「立法委員的立法參與:概念、本質、與測量」,問題與研究,36(3): 1-25。
9. 盛杏湲,1998。「選民的投票決定與選舉預測」,選舉研究,5(1):37-75。
10. 盛杏湲,1999。「政黨配票與候選人票源的集散度:一九八三年到一九九五年臺灣地區立法委員選舉的分析」,選舉研究,5(2):73-102。
11. 盛杏湲, 2000。「立法間政與選區服務:第三屆立法委員代表行為的探討」,選舉研究,6(2):89-120。
12. 盛杏湲,2002。「統獨議題與臺灣選民的投票行為:一九九0年代的分析」,選舉研究,9(1)41-80。
13. 林繼文,1999。「地盤劃分與選舉競爭:對應分析法在多席次選舉研究上之應用」,選舉
14. 陳義彥,1986。「我國投票行為研究的回顧與展望」,思與言,23(6):557-585。
15. 陳義彥,1994。「我國選民的集群分析及其投票傾向的預測─從民國八十一年立委選舉探討」,選舉研究,1(1):1-38。