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研究生:林敏郎
研究生(外文):Min-Lang Lin 林敏郎
論文名稱:非匿名性口碑行銷影響社群成員購買傾向之研究-以FB社群為例
論文名稱(外文):The influence of community members on the buying decision in non-anonymous word of mouth marketing research-FB community as an example.
指導教授:李國瑋李國瑋引用關係張宏吉張宏吉引用關係
指導教授(外文):Dr. Kuo-Wei Lee李國瑋Dr. Hung-Chi Chang張宏吉
學位類別:碩士
校院名稱:國立臺中科技大學
系所名稱:企業管理系事業經營碩士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:95
中文關鍵詞:非匿名社群網站網路口碑專業度關係強度視覺與互動效果信任度商品偏好購買傾向
外文關鍵詞:non-anonymouscommunity websiteonline word-of-mouthprofessional degreerelationship strengthvisual and interactive effecttrustcommoditypurchase intention
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社群媒體已是影響現代消費者購物決策的重要關鍵之一,《數位時代》雜誌2013年「台灣網站100強」,以網站類別來看,社群類網站進榜30家,不僅數量最多,也創下新高紀錄。另根據創世紀2013年調查發現台灣網民每月平均在社群網站使用400分鐘以上(約6小時),且使用社群網站的時間,占全體上網時間的31.69%,顯示網友有1/3時間都用在社群網站。而現今社群網站中又以Facebook最為活躍,甚或該網站當機沒辦法上線都會引起網民的焦慮,其儼然已成為網民生活必需品,運用它來進行人際溝通、資訊分享,在這樣的必然趨勢下進而造成訊息傳遞的爆炸,此時訊息溝通的可信度研究,也就成為網路行銷研究的重要課題。
因此本研究就以Facebook 作為對象,探討Facebook中非匿名性的網站社群成員對於口碑行銷的信任度及口碑行銷對社群成員購買傾向之影響。
在抽樣方面,本調查是以網路問卷方式進行資料收集,並在FB社群平台上進行非隨機問卷調查,各題項均為必答後方能送出,總計填答有效份數為261份,本研究並進一步使用敘述性統計、信效度分析及迴歸分析、干擾分析等研究分析方法進行驗證。
研究結果顯示:一、傳播者的專業程度愈高,其所傳送的口碑訊息對接收者的購買傾向影響愈大。二、接收者的專業程度越高,口碑訊息對接收者之購買決策影響越小。三、關係強度越高,口碑訊息對接收者之購買傾向影響越大。四、訊息的視覺與互動效果越生動及互動性越高,口碑訊息對接收者之購買傾向影響越大。五、訊息接收者的商品偏好對購買傾向有顯著的影響。六、訊息的可信度對接收者的購買傾向有顯著的影響。


Social media is one of the influencing key to make purchasing decisions for modern consumers."Top 100 websites of Taiwan" from the magazine of "Business Next"in 2013, there are 30 community websites on the list, not only the number is the most, also hit a new record.Also, according to the survey of "Create Century"in 2013, founded that people in Taiwan spend more than 400 minutes(around 6hours) monthly average on the community website. &; the using time on the community website accounts for 31.69% of the total Internet using time, shows that Internet users have 1/3 times on the community website. Nowadays, "Facebook" is the most active sites of the community website, when it crash even caught the anxiety of netizen, which has become a daily necessities to them. Netizen use FB to do the interpersonal communication and information sharing &; in this inevitable trend causes information explosion. Therefore, the research of the reliability of the information communication becomes an important issue of Internet marketing.
So the research on Facebook as the object, to investigate the Facebook
non anonymous web community member on word-of-mouth trust and word of mouth marketing forcommunity members purchase intention.In sampling, the survey data was collected by a questionnaire, And a random questionnaire survey in the FB community platform, all items are required beforesending, fill out the effective fraction of the total 261 samples, the study and the further use of descriptive statistics, reliability and validity analysis, analysis and interference analysisregression analysis method is verified.
The result show that, first of all, the more professional the communicator is, the more influential of the online Word-Of-Mouth for purchasing tendency to the recipients. Second, the more professional the recipient is, the less influential of the online Word-Of-Mouth for purchasing tendency to the recipients. Third, the more strength the relationship is, the more influential of the online Word-Of-Mouth for purchasing tendency to the recipients. Forth, the more higher visual and interactive effects the message is, the more influential of the online Word-Of-Mouth for purchasing tendency to the recipients. Fifth, recipient preference of commodity has a significant effect on purchase intention. Sixth, the credibility of online Word-Of-Mouth also influenced the recipient for purchasing tendency.


摘要 i
英文摘要ABSTRACT ii
誌 謝 iv
表目次 vii
圖目次 ix
第一章、緒論 1
第一節 研究動機與背景 1
第二節 研究目的 4
第三節 論文架構 5
第四節 研究流程 6
第二章 文獻回顧 7
第一節 非 匿名 7
2-1-1 非匿名的定義 7
2-1-2 網路非匿名的探討 7
第二節 社群網站 9
第三節 網路口碑 11
第四節 傳播者與接收者專業度 17
第五節 關係強度 21
2-5-1 關係強度的定義(relationship strength, RS) 21
2-5-2 關係強度的分類與衡量方式 22
2-5-3 關係強度對口碑傳播效應的干擾效果 23
第六節 訊息的視覺與互動效果 25
2-6-1 視覺提示 25
2-6-2 訊息互動性 26
2-6-3 訊息生動性 27
第七節 來源可信度 29
2-7-1 來源可信度的定義 29
2-7-2 來源可信度與購買傾向之關聯繫性 30
第八節 商品偏好 33
2-8-1 商品偏好的定義 33
2-8-2 商品偏好類型與購買決策之關聯性探討 33
第九節 購買傾向 36
第十節 各構面假設推導 38
第三章、研究方法 41
第一節 研究架構 42
第二節 研究假設 43
第三節 變數操作型定義與衡量 44
第四節 問卷設計 49
第五節 資料分析方法 50
3.5.1 敍述性統計分析 50
3.5.2 信度及效度 50
3.5.3 因素分析 51
3.5.4 迴歸分析 51
第四章、研究結果分析 52
第一節 敘述性統計分析 52
第二節 信效度分析 57
4-2-1 傳播者的專業程度信效度分析 57
4-2-2 接收者的專業程度信效度分析 58
4-2-3 關係強度信效度分析 60
4-2-4 視覺與互動效果信效度分析 61
4-2-5 信任度信效度分析 62
第三節 假設驗證結果 70
第五章 結論與建議 71
第一節 研究結論 71
第二節 研究限制 75
第三節 後續研究建議 76
參考文獻 77
附 錄:研究問卷 91


中文文獻:
1.王遵智(2004),「網路口碑中個人專業與關係強度對購買決策的影響-以電子郵件為例」,國立台灣科技大學企管所碩士論文.
2.李振昌譯(2006),「生技商機:看得著摸不著?」,哈佛商業評論全球繁體中文版,2: 116-128.
3.林彣珊、唐嘉鴻 (2010),「網路口碑說服效果之研究」,行銷評論;7卷2期,187-208.
4.林聖傑 (2011),「網路口碑訊息特性對收訊者再傳播意願之影響─以視覺提示為干擾變數」,臺北科技大學商業自動化與管理研究所學位論文,1 – 49.
5.吳宜蓁、徐偉璿(2002) ,「初探網路謠言意涵, 傳散過程與解決之道: 從企業網路謠言談起」,網路與社會研討會,新竹,台灣.
6.吳萬益(2000). 企業研究方法, 臺北: 華泰.
7.吳萬益、林清河. (2001). 企業研究方法, 台北: 華泰書局.
8.唐日新、葉耀仁(2011,「應用推敲可能性模型探討部落格行銷效果:以旅遊部落格為例」,中山管理評論;19卷3期,517-555.
9.黃孝俊、徐偉青 (2004),「口碑傳播的基本研究取向」,浙江大學學報,第34卷,第1期,125-132.
10.楊孝濚(1995),傳播社會學,台北:台灣商務.
11.樊祖燁、劉芳梅、丁中得(2012)「網路互動性、口碑效果對忠誠度之影響-以社群網站為例」,育達科大學報,第32期,157-174.
12.廖千慧(2005),「代言人─產品使用者的性別符合性、來源可信度與自我監控程度對廣告效果的影響」,私立世新大學傳播研究所碩士論文.

英文文獻:
1.Adler, P. Richard, and J. Anthony Christopher. (1998). “Internet community primer overview and business opportunities. ” Internet Community Primer
2.Akdeniz, Y. (2002) , “ Anonymity, Democracy, and Cyberspace.
Social Research, ”69(1),pp. 223-237.
3.Alba and Hutchinson(1987), “Dimensions of Consumer Expertise, Journal of Consumer Research, ” Gainesville: Mar 1987. Vol. 13, Iss. 4; p. 411
4.Anderson, Eugene W.(1998), “Customer Satisfaction &; Word of Mouth,” Journal of Service Research, Vol. 1, August, pp.5-17.
5.Arndt, Johan (1967), “Role of Product-Related Conversations in the Diffusion of a New Product,” Journal of Marketing Research, Vol. 4, No. 1, August, 291-295.
6.Baltes, B. (2002), “ Virtual classroom discussions versus traditional classroom discussions, ” In R. Kinshuk et al. (Eds.),pp.452-453
7.Bansal, Harvir S. &; Peter A. Voyer(2000), “Word-of-Mouth Processes within a Services Purchase Decision Context,” Journal of Service Research, Vol. 3, No. 2,November, pp.166-177.
8.Belch, G.E. and M.A. Belch (2001) , “ Advertising and Promotion: An Integrated Marketing Communications Perspective 6th edition. New York: McGraw-Hill/Irwin. ”
9.Bickart, B. &; Schindler, R. M. (2001). Internet Forums as Influential Sources of Consumer Information. Journal of Interactive Marketing, 15(3), pp.31-40.
10.Bettman, James R. and C. Whan Park(1980), “Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis,” Journal of Consumer Research, Vol. 7, No. 3, December, pp.234-248.
11.Bettman, J.R., Luce, M. F. &; Payne, J.W. (1998). “Constructive Consumer Choice Processes.” Journal of Consumer Research, 25(3), pp.187–217
12.Beatty, S. E., Mayer, M., Coleman, J. E., Reynolds, K. E. &; Lee, J. (1996). Customer-Sales Associate Retail Relationships. Journal of Retailing, 72,PP.223–247.
13.Bloch P. H. &; Richins M. L.(1983) , “ A Theoretical Model for the Study of Product Importance Perceptions,” Journal of Marketing,47(1), pp.69-81.
14.Bone, P.F.(1995) ”Word-of-Mouth Effects on Short-Term and Long-Term Product Judgments,” Journal of Business Research (32:3) , pp:213-223
15.Bristor, Julia M.(1990), “Enhanced Explanations of Word of Mouth Communications: The Power of Relationships,” Research in Consumer Behavior,Vol. 4, 51-83.
16.Brown, Jacqueline Johnson and Peter H. Reingen(1987), “Social Ties and Word-of-Mouth Referral Behavior,” Journal of Consumer Research, Vol. 14, No. 3,December, pp.350-362.
17.Brown, T. J., Barry, T. E., Dacin, P. E., &; 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), pp.123-138.
18.Brucks, Merrie(1985), “The Effects of Product Class Knowledge on Information Search Behavior,” Journal of Consumer Research, Vol. 12, No. 1, June, pp.1-16.
19.Chanthinka Pornpitakpan (2004), “The Persuasive Effect of Circadian Arousal, Endorser Expertise, and Argument Strength in Advertising,” Journal of Global Marketing, vol. 17(2/3)
20.Chou, S. S., Hwang, D. F., &; Lee, H. F. (2003) , “ High performance liquid chromatographic determination of cyromazine and its derivative melamine in poultry meats and eggs,” Journal of food and drug analysis, 11(4), pp.290-295.
21..Connolly, T., and Thorn, B.( 1990) , “ Discretionary Databases: Theory, Data, and Implications, ”In J. Fulk &; C. W. Steinfield (Eds.), Organizations and Communication Technology, pp 219-233,
22.Cordell,V. V.(1993) , “Interaction Effects of Country of Origin with Branding, Price and Perceived Performance Risk, ” Journal of Consumer Marketing, Vol.5,Iss.2,pp.5-19.
23.Coyle, James R. and Esther Thorson (2001). The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites, Journal of Advertising, Vol. 30, No. 3, pp. 65–77.
24.Davis, A., &; Khazanchi, D. (2008) , “An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales,”Electronic Markets, 18(2), pp.130-141.
25.de Vries, L., Gensler, S. and Leeflang, P. S. H. (2012) , “ Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing,” Journal of Interactive Marketing, Vol. 26, No. 2, pp. 83-91.
26.Deutsch, M. (1958) , “Trust and suspicion,” The journal of conflict resolution, 2, pp.265-279
27.Derbaix, Christian &; Joelle Vanhamme (2003), “Inducing Word-of-Mouth by Eliciting Surprise- A Pilot Investigation,” Journal of Economic Psychology, Vol. 24,No. 1, February, 99-116.
28.Dellarocas, Chrysanthos (2003), “The Digitization of Word of Mouth: Promise and Challenges of Online Feedback,”Management Science, 49(10), pp.1407- 1424
29.Dhar, R. (1999). “Comparison Effects on Preference Construction.” Journal of Consumer Research, 26(3), pp.293-306.
30.Dholakia, R. R., &; Sternthal, B. (1977) , “ Highly credible sources: persuasive facilitators or persuasive liabilities? ”Journal of Consumer Research, pp.223-232.
31.Dodds, W. B., K. B. Monroe, and D. Grewal. (1991), “The Effects of Price, Brand,and Store Information on Buyer’s Product Evaluations,” Journal ofMarketing Research, Vol. 28, No.3, pp. 307-319.
32.Dreze, X., &; Hussherr, F. X. (2003) , “ Internet advertising: Is anybody watching? ,” Journal of Interactive Marketing Volume 17, Issue 4, 2003,pp. 8–23
33.Duhan, Dale F., Scott D. Johnson, James B. Wilcox and Gilbert D. Harrell (1997), “Influences on Consumer Use of Word-of-Mouth Recommendation Sources,” Journal of the Academy of Marketing Science, Vol. 25, pp. 283-295.
34.Dunn, J. (1988). Trust and political agency. In D. Gambetta (Ed.) Trust: Making and breaking cooperative relations (pp. 73-93).
35.Engel, James F., Robert J. Kegerreis and Roger D. Blackwell (1969),“Word-of-Mouth Communication by the Innovator,” Journal of Marketing, Vol. 33,No. 3, July, pp.15-19.
36.Engel, J. R., Blackwell, R. D., &; Miniard, P. W. (2001). Consumer behavior. Orlando Florida: Harcourt Inc.
37.Erdogan, B. Zafer (1999), “Celebrity Endorsement: A Literature Review,” Journal of Marketing Management, 15(4),pp. 291-314.
38.Erikson, E.H.(1980), “ Identity and the Life Cycle,” New York: W.W.Norton and Company.
39.Fang, X., &; Salvendy, G. (2003) , “ Customer-centered rules for design of e-commerce web sites,” Communications of the ACM, 46(12),pp.332-336.
40.Farhoom, A. F., &; Drury, D. H. (2002) , “ Managerial information overload ,” Communications of the ACM, 45(10), pp.127-131.
41.File, K.M., Cermak, D.S.P. and Prince, R.A. (1994) , “ Word-of-mouth effects in professional services buyer behaviour ,” The Service Industries Journal 14(3), pp.301–14.
42.Flanagin, A. J., &; Metzger, M. J. (2003) , “ The perceived credibility of personal Web page information as influenced by the sex of the source,” Computers in Human Behavior, 19(6), pp.683-701.
43.Fortin, David R. and Ruby R. Dholakia (2005), “Interactivity and Vividness Effects on Social Presence and Involvement with a Web-based Advertisement, ”Journal of Business Research, 58, pp.387-396.
44.Frenzen, Jonathan K. and Harry L. Davis (1990), “Purchasing Behavior in Embedded Markets,” Journal of Consumer Research, Vol. 17, No. 1, June, 1-12.
45.Frenzen, Jonathan and Kent Nakamoto(1993), “ Structure, Cooperation, and the Flow of Market Information,” Journal of Consumer Research, Vol. 20, No. 3,December,pp.360-375.
46.Fritch, J. W., &; Cromwell, R. L. (2001) , “ Evaluating Internet resources: Identity, affiliation,and cognitive authority in a networked world,” Journal of the American Society for Information Science and Technology, 52(6), pp.499-507.
47.Furse, David H., Girish N. Punj and David W. Stewart(1984), “A Typology of Individual Search Strategies among Purchasers of New Automobiles,” Journal of Consumer Research, Vol. 10, No. 4, May, pp.417-431.
48.Ganesan, Shanker and Ron Hess (1997), “ Dimensions and Levels of Trust: Implications for Commitment to a Relationship,” Marketing Letters, 8(October), pp.439-448.
49.Gefen, D., &; Straub, D. (2000).“Managing User Trust in B2C e-Services”. E-services Quarterly,1(1)
50.Gelb, Betsy &; Madeline Johnson (1995), “Word-of-Mouth Communication:Causes &; Consequences,” Journal of Health Care Marketing, Vol. 15, No. 3, Fall,pp.54-58.
51.Gelb, B. D., &; Sundaram, S. (2002) , “Adapting to Word of Mouse,” Business Horizon,45(4), pp.21-25.
52.Gilly, Mary C., ohn L. Graham, Mary Finley Wolfinbarger and Laura J. Yale (1998),“A Dyadic Study of Interpersonal Information Search,” Journal of the Academy ofMarketing Science, Vol. 26, No. 2, Spring, pp.83-100.
53.Godes, D., &; Mayzlin, D. (2004) , “Using online conversations to study word-of-mouth communication,” Marketing Science, 23(4), pp.545-560
54.Granovetter, M.(1973) , “The Strength of Weak Ties,” American Journal of Sociology, Vol.78, pp. 1360-1380.
55.Gremler, D. D. (1994). Word-of-mouth about service providers: An illustration of theory development in marketing. In Park, C. W., &; Smith, D. (Eds.), AMA winter educators’ conference: Marketing theory and applications (62-70). Chicago, IL: American Marketing Association.
56.Hagel III, J. and A. G. Armstrong (1997) , “ Net Gain: Expanding Markets through Virtual Communities,” Harvard Business School Press.
57.Ha, L. &; James, L. E. (1998) , “ Interactivity reexamined: A baseline analysis of early business web sites,” Journal of Broadcasting &; Electronic Media, 42, pp.456-473.
58.Harrison-Walker, L. J.( 2001) , “ The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents,” Journal of Service Research, pp. 60-75.
59.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),pp.38–52.
60.Herr, Paul M., Frank R. Kardes &; John Kim(1991), “Effects of Word-of-Mouth &; Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective,” Journal of Consumer Research, Vol. 17, No. 4, March,pp. 454-462.
61.Holbrook, M. B., &; Hirschma E. C. (1982) , “ The experiential aspects of consumption: consumer fantasies, feelings, and fun,” Journal of Consumer Research. 9(9),pp.132-140.
62.Hovland, Janis &; Kelley, (1953), “Communication and Persuasion ,” New Heaven.
63.Johnson, Eric J. and J. Eward Russo (1984), “Product Familiarity and Learning New Information,” Journal of Consumer Research, Vol. 11, No. 1, June, 542-550.
64.Johnson, A.H.(2000), “Learning by wire,” Computerwrold, (34:26) , 2000, pp.96-98.
65.Johnson, T. J., &; Kaye, B. K. (2004). “Wag the blog: how reliance on traditional media and the Internet influence credibility perceptions of weblogs among blog users,”Journalism and Mass Communication Quarterly, 81(3), 622-642.
66.Jones, T. O. &; Sasser, J. R. (1995), “ Why Satisfied Customer Defect,” Harvard Business Review, 85(2),pp. 88-99.
67.Joseph, W. B. (1982) , “The credibility of physically attractive communicators: A review,” Journal of Advertising, 11(3), pp.15-24.
68.Kahle, L. R., &; Homer, P. M. (1985) , “Physical attractiveness of the celebrity endorser: A social adaptation perspective,” Journal of Consumer Research, 11(4), pp.954-961.
69.Kaye, B. K. (2005) , “ Web side story: An exploratory study of why Weblog users say they use Weblogs ,” Association for Education in Journalism and Mass Communication Annual Conference, San Antonio, TX, USA.
70.Kiselius, J. and Sternthal, B. (1986) , “ Examining the Vividness controversy: an availability-valence perspective ,” Journal of Consumer Research, Vol. 12, No. 1, pp. 418-431.
71.Kotler, P. (1997). Marketing management: Analysis, planning, implementation and control. Englewood Cliffs, N.J.: Prentice Hall, Inc.
72.Kotler, P. (2000). Marketing Management, 10th ed. Upper Saddle River, NJ:Prentice Hall.
73.Liljander, V., &; Strandvik, T. (1995) , “ The nature of customer relationships in servicesAdvances in services marketing and management ,” JAI Press, 4, pp.141-167.
74.Liu, P. and Shrum, L. (2002) , “ What is Interactivity and Is It Always Such a Good Thing?Implications of Definition, Person, and Situation for the Influence of Interactivity on Advertising Effectiveness ,” Journal of Advertising, Vol. 31, pp. 53-64.
75.Liu, Y., (2006) , “Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue,”Journal of Marketing, Vol. 70, No. 3, pp.74-89.
76.Lurie, N. H. (2004) , “ Decision making in information-rich environments: The role of information structure,” Journal of Consumer Research, 30(4), pp.473-486.
77.Lurie, N. H., &; Mason, C. H. (2007) , “ Visual representation: Implications for decision making ,” Journal of Marketing, 71(1), pp.160-177.
78.Maddux, J. E., &; Rogers, R. W. (1980) ,“ Effects of source expertness, physical attractiveness, and supporting arguments on persuasion: A case of brains over beauty ,”Journal of Personality and Social Psychology, 39(2), pp.235-244.
79.Mangold,W.G.,Miller,f.,and Brockway,G.K.(1999) ,“ word-of-mouth communication in the Service Marketplace,” Journal of Services Marketing ,vol.13,NO.1,pp.73-89
80.Marsden, Peter V. &; Campbell Karen E. (1984) ,“Measuring Tie Strength.",” Social Forces 63(2):PP.482-501.
81.Marsden, Peter.(1990), “Network Diversity, Substructures, and Opportunities for Contact.” PP. 397-410 in Structures of Power and Constraint, edited by Craig Calhoun, Marshall W. Meyer, and W. Richard Scott. Cambridge: Cambridge University Press.
82.Mazzarol, T., Sweeney, J. C., &; Soutar, G. N. (2007). , “Conceptualizing word-of-mouth activity, triggers and conditions.” European Journal of Marketing, 41(11/12),PP.1475-1494
83.McMillan, S. J. (2002) , “A Four-Part Model of Cyber-Interactivity: SomeCyber-Places Are More Interactive Than Others.” New Media &; Society, pp.271-291
84.Metzger, M. J. (2007) ,“ Making sense of credibility on the web: Models for evaluating online information and recommendations for future research, ” Journal of the American Society for Information Science and Technology, 58(13), pp.2078-2091.
85.Mitchell, V. W. and P. Boustani. ( 1994) , “A Preliminary Investigation into Pre- and Post- Purchase Risk Perception and Reduction,” European Journal of Marketing, 28(1), pp.56-71.
86.Moorman, Christine, Rohit Deshpande, and Gerald Zaltman (1993), “Factors Affecting Trust in Market Relationships, ” Journal of Marketing, 57 (January), pp.81-101.
87.Neumann,U. (1996),“Improved specular highlights with adaptive shading ,”Computer Graphics International, Vol. 24, pp. 38-46.
88.Nisbett, R. E. and Ross, L. (1980) ,“ Human Inference: Strategies and Shortcomings of Social Judgment,” Englewood Cliffs, NJ: Prentice-Hall.
89.Norton, F. (1987). “The Coase Theorem and Sub optimization in Marketing Channels.” Marketing-Science, 6(3), pp.268-285.
90.Nunamaker, J. F., Jr, Chen, M. and Prudin, D. M. (1991) , “Systems evelopment in Information Systems Research, ” Journal of Management Information Systems,7(3),pp. 89-106
91.Ohanian, R. (1990) , “ Construction and validation of a scale to measure celebrity endorsers'' perceived expertise, trustworthiness, and attractiveness, ” Journal of Advertising, 19(3),pp.39-52.
92.Oliver, C. (1995), “Privacy, Anonymity &; Accountablility,” Computers &; Security, Vol. 14, pp.489-490.
93.Pamela Kiecker and Deborah Cowles (2001), “Interpersonal Communication and Personal Influence on the Internet:A Framework for Examining Online Word-of-Mouth,” Internet Applications in Euromarketing, 11(2), pp.71-88.
94.Perlman, D., &; Fehr, B. (1987) , “ The development of intimate relationships,” In D. Perlman &; S. Duck (Eds.), Intimate relationships: Development, dynamics, and deterioration ,pp.13-42.
95.Pine, B.J., Peppers, D. &; Rogers, M. (1995), “Do You Want to Keep YourCustomers ForeverT?T” The Journal of Product Innovation Management, 12(5),pp. 446-447.
96.Pornpitakpan, C. (2004) , “ The persuasiveness of source credibility: A critical review of five decades'' evidence,” Journal of Applied Social Psychology, 34(2), pp.243-281.
97.Porter, B. (2004) , “ Six elements of good digital storytelling ,” Retrieved 16/10/10
98.Punj, Girish N. and Richard Staelin(1983), “A Model of Consumer Information Search Behavior for New Automobiles,” Journal of Consumer Research, Vol. 9, No. 4, March, pp.366-380.
99.Quible, K. Zane (2005) , “ Blogs and written business communication courses: A perfect union,”Journal of Education for Business, 80(6), pp.327-338.
100.Rafaeli, S., and Sudweeks, F. (1997) , “ Networked Interactivity,” Journal of Computer Mediated Communication, Vol. 2, No. 4.
101.Rao, A. R. and K. B. Monroe (1989), “The Effect of Price, Brand Name, and Store Name on Buyers’ Subjective Product Assessments: An Integrative Review,” Journal of marketing Research, 26(August), pp.351-357.
102.Rheingold, H. (1993), “Virtual Community: Homesteading on the Electronic Frontier. Reading, ”MA: Addison-Wesley Inc.
103.Richins, Marsha L. &; Teri Root-Shaffer(1983), “The Role of Involvement &; Opinion Leadership in Consumer Word-of-Mouth: An Implicit Model Made Explicit,” Advances in Consumer Research, Vol. 15,pp.32-36.
104.Rieh, S.Y. (2002) , “ Judgment of information quality and cognitive authority in the Web,” Journal of the American Society for Information Science and Technology, 53(2),pp.145-161.
105.Rieh, S. Y., &; Danielson, D. R. (2007) , “ Credibility: A multidisciplinary framework,” In B.Cronin (Ed.), Annual Review of Information Science and Technology .Vol. 41, pp. 307-364.
106.Romm, C., “Virtual Communities and Society: Toward and Integrative Three Phase Model,” International Journal of Information Management, 17(4), pp.261-270.
107.Ruby R. Dholakia (2005), “ Interactivity and Vividness Effects on
Social Presence and Involvement with a Web-based Advertisement,” Journal of Business Research, 58, pp.387-396.
108.Schiffman, Leon G. and Leslie Lazar Kanuk(1997), “Consumer Behavior 6th ed.Upper Saddle River,” NJ: Prentice Hall.
109.Schiffman, L. G., &; Kanuk, L. L. (2003) , “ Consumer behavior. Upper Saddle River, NJ: Pearson Education, Inc.
110.Schwartz, B. (2004) , “ The paradox of choice: Why more is less,” New York: Ecco.
111.Shawn Tseng , B. J. Fogg (1999), “ Credibility and computing technology", ” Communications of the ACM, Vol.42(5), pp.39-44.
112.Shimp, T. A. (1990) , “Promotion Management and Marketing Communication.Chicago,” IL: The Dryden Press,pp.343-353.
113.Silverman, G. ”How to Harness the Awesome Power of Word of Mouth,” Directing Marketing (60:7) 1997, pp:32-37
114.Sloman, S. A. (1996) , “The empirical case for two systems of reasoning,” Psychological Bulletin, 119(1), pp.3-22.
115.Song, J. H., &; Zinkhan, G. M. (2008) , “ Determinants of perceived web site interactivity,” Journal of Marketing, 72,pp.99-113.
116.Stauss, Bernd (1997), “Global Word of Mouth: Service Bashing on the Internet Is a Thorny Issue,” Marketing Management, Fall, pp.28-30.
117.Strahilevitz, M., &; Myers J.G.. (1998) , “ Donations to charity as purchase incentives: How well they work may depend on what you are trying ,” Journal of Consumer Research, 24(4), p.434.
118.Sundar, S. S., Kalyanaraman, S., &; Brown, J. (2003) , “ Explicating web site interactivity,” Communication Research, 30(1).
119.Sweeney, J. C., Soutar, G. N. and Mazzarol, T. (2008) , “ Factors Influencing Word of Mouth Effectiveness: Receiver Perspectives,” European Journal of Marketing, Vol. 42, No. 3/4, 14,pp. 344-364.
120.Tanimoto, J., &; Fujii, H. (2003) , “A Study on Diffusion Characteristics of Information on a Human Network Analyzed by a Multi-Agent Simulator ,”The Social ScienceJournal, 40(4), pp.79-85.
121.Taylor, S. E., &; Thompson, S. C. (1982) , “ Stalking the elusive “vividness” effect,” Psychological Review, 89(2), pp.155-181.
122.Teas, R. Kenneth and Sanjeev Agarwal (2000),“The Effect of Extrinsic Product Cues on Consumers’ Perceptions of Quality, Sacrifice, and Value” Journal of the Academy of Marketing Science, 28(2), pp.278-90.
123.Valacich, J. S., R. Wachter, B. E. Mennecke, and B. C. Wheeler.(1993), “Computer-Mediated idea generation: the effects of group size and group heterogeneity, ” Proceedings of the 26th International Conference on System Sciences, 1993, pp.152-160..
124.Wallace, P. (1999), “Altruism on the Net: the psychology of helping. In P. Wallace (Ed.), ” The Psychology of the internet,pp.190-207
125.Wellman, B. (1992), “Which Types of Ties and Networks Give What Kinds of Social Support?,” Advances in Group Processes, Vol.9, pp.207-235.
126.Westbrook, R. A. (1987) , “Product/Consumption-Based Affective Responses and Post purchase Processes,”Journal of Marketing Research, 24(3),pp.258-270.
127.Whitehead, J. L. (1968) , “ Factors of source credibility,”Quarterly Journal of Speech, 54(1),pp.59-63.
128.Wilson, E.J., &; Sherrell, D.L.(1993), “ Source effects in communication and persuasion research: a meta-analysis of effect size, ” Journal of the Academy of Marketing Science, 21 (2), pp.101-112.
129.Wirtz, Jochen and Patricia Chew (2002), “The Effects of Incentives, Deal Proneness, Satisfaction and Tie Strength on Word-of-Mouth Behaviour,”International Journal of Service Industry Management, Vol. 13, No. 2, pp.141-162.
130.Wise, K., Hamman, B. and Thorson, K., (2006) , “ Moderation, Response Rate, and Message Interactivity: Features of Online Communities and Their Effects on Intent to Participate ,”Journal of Computer-Mediated Communication, Vol. 12, No. 1, pp. 24-41.
131.Wu, G. (1999) , “ Perceived interactivity and attitude toward website ,” Paper presented at the Annual Conference of American Academy of Advertising.


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