Investigating electronic word-of-mouth effects on online discussion forums: The role of perceived positive electronic word-of-mouth review credibility

Cyberpsychology, Behavior, and Social Networking

Volumn 16, Issue 9, 2013, Pages 658-668

  Chih, Wen Hai ^a   Wang, Kai Yu ^b   Hsu, Li Chun ^c   Huang, Su Chen ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b BROCK UNIVERSITY   (Canada)

^c DA YEH UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CONSUMER; FEMALE; HUMAN; INTERNET; INTERPERSONAL COMMUNICATION; MALE; PSYCHOLOGICAL MODEL; SOCIAL MEDIA; STANDARD; TRUST; YOUNG ADULT;

ADOLESCENT; ADULT; COMMUNICATION; CONSUMER SATISFACTION; FEMALE; HUMANS; INTERNET; MALE; MODELS, PSYCHOLOGICAL; SOCIAL MEDIA; TRUST; YOUNG ADULT;

EID: 84884246477     PISSN: 21522715     EISSN: 21522723     Source Type: Journal    
DOI: 10.1089/cyber.2012.0364     Document Type: Article

References (90)

1. Sun T, Youn S, Wu G, Kuntaraporn M. Online word-ofmouth (or mouse): an exploration of its antecedents and consequences. Journal of Computer-Mediated Communication 2006; 11:1-22.
2. Lee M, Youn S. How eWOM platforms influence consumer product judgment. International Journal of Advertising 2009; 28:473-99.
3. Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD. Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet. Journal of Interactive Marketing 2004; 18:38-52.
4. Forrester Research. (2011). The five methods of online marketing through social networks. http://advertising.microsoft.com/taiwan/NewsAndEvents/ PressRelease.aspx?Adv-PressReleaseID=826 (accessed May 9, 2011).
5. Dichter E. How word-of-mouth advertising works. Harvard Business Review 1966; 44:147-66.
6. Engel J, Blackwell R, Miniard PW. (1993) Consumer behavior. Fort Worth, TX: Dryden Press.
7. Martin WC, Lueg JE. Modeling word-of-mouth usage. Journal of Business Research 2011; http://dx.doi.org/10.1016/j.jbusres.2011.06.004
8. Huang LS, Chou YJ, Lin CH. The influence of reading motives on the responses after reading blogs. Cyber Psychology & Behavior 2008; 1:351-55.
9. Sweeney JC, Soutar GN, Mazzarol T. Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing 2008; 42:344-64.
10. Riegner C. Word of mouth on the Web: the impact of Web 2.0 on consumer purchase decisions. Journal of Advertising Research 2007; 47:436-47.
11. Hoffman DL, Novak TP. Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing 1996; 60:50-68.
12. Gelb BD, Sundaram S. Adapting to word of mouse. Business Horizon 2002; 45:21-5.
13. Sundaram DS, Mitra K, Webster C. Word-of-mouth communications: a motivational analysis. Advances in Consumer Research 1998; 25:527-31.
14. Breckler SJ. Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality & Social Psychology 1984; 47:1191-205.
15. Lutz RJ. (1985) Affective and cognitive antecedents of attitude toward the ad: a conceptual framework. In Alwitt LF, Mitchell AA, eds. Psychological processes and advertising effects: theory, research and applications. Hillsdale, NJ: Lawrence Erlbaum, pp. 45-63.
16. Ifeng Forum. (2011) Maintenance for online reputation: businesses and individuals cannot ignore. http://big5.ifeng.com/gate/big5/bbs.ifeng.com/ viewthread.php?tid=6417409&extra=page-ifbase4-base8-JTNEMQ (accessed May 22, 2011).
17. Dhar R, Nowlis SM. The effect of time pressure on consumer choice deferral. Journal of Consumer Research 1999; 25:369-84.
18. Spears N. Time pressure and information in sales promotion strategy: conceptual framework and content analysis. Journal of Advertising 2001; 30:67-76.
19. East R, Hammond K, Lomax W. Measuring the impact of positive and negative word of mouth on brand purchase probability. International Journal of Research in Marketing 2008; 25:215-24.
20. Park C, Lee TM. Information direction, Website reputation and eWOM effect: a moderating role of product type. Journal of Business Research 2009; 62:61-7.
21. Helm S. Viral marketing-establishing customer relationships by "word-of-mouse." Electronic Markets 2000; 10:158-61.
22. Chevalier JA, Mayzlin D. (2003) The effect of word of mouth on sales: online book reviews. NBER Working Papers 10148, National Bureau of Economic Research, Inc.
23. Gershoff AD, Mukherjee A, Mukhopadhyay A. Consumer acceptance of online agent advice: extremity and positivity effects. Journal of Consumer Psychology 2003; 13:161-70.
24. Skowronski JJ, Carlston DE. Social judgment and social memory: the role of cue diagnosticity in negativity, positivity, and extremity biases. Journal of Personality & Social Psychology 1987; 105:689-99.
25. Skowronski JJ, Carlston DE. Negativity and extremity biases in impression formation: a review of explanations. Psychological Bulletin 1989; 105:131-42.
26. Zhang JQ, Craciun G, Shin D. When does electronic wordof-mouth matter? A study of consumer product reviews. Journal of Business Research 2010; 63:1336-41.
27. Sen S, Lerman D. Why are you telling me this? An examination into negative consumer reviews on the Web. Journal of Interaction Marketing 2007; 21:76-94.
28. Rossiter J, Percy L. (1997) Advertising communications and promotion management. New York: McGraw-Hill.
29. De Angelis M, Bonezzi A, Peluso AM, et al. On braggarts and gossips: a self-enhancement account of word-of-mouth generation and transmission. Journal of Marketing Research 2012; 49:551-63.
30. Schindler RM, Bickart B. Perceived helpfulness of online consumer reviews: the role of message content and style. Journal of Consumer Behaviour 2012; 11:234-43.
31. Jeong EH, Jang SE. Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. International Journal of Hospitality Management 2011; 30:356-66.
32. Arndt JA. Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research 1967; 4:291-95.
33. Sundaram DS, Mitra K, Webster C. Word-of-mouth communications: a motivational analysis. Advances in Consumer Research 1998; 25:527-31.
34. Flanagin AJ, Metzger M. (2008) Digital media and youth: unparalleled opportunity and unprecedented responsibility. In Metzger MJ, Flanagin AJ, John D, Catherine T, eds. Digital media, youth, and credibility. Cambridge, MA: MIT Press, pp. 5-28.
35. Mackenzie SB, Lutz RJ. An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing 1989; 53:48-65.
36. Metzger MJ. 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 2007; 58:2078-91.
37. Bart Y, Shankar V, Sultan F, et al. Are the drivers and role of online trust the same for all Web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing 2005; 69:133-52.
38. Shamdasani PN, Stanaland AJS, Tan J. Location, location, location: insights for advertising placement on the Web. Journal of Advertising Research 2001; 41:7-21.
39. Wathen CN, Burkell J. Believe it or not: Factors influencing credibility on the Web. Journal of the American Society for Information Science & Technology 2002; 53:34-144.
40. Eagly AH, Chaiken S. (1993) The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.
41. Hovland CI, Weiss W. The influence of source credibility on communication effectiveness. Public Opinion Quarterly 1951; 15:635-50.
42. Grewal D, Gotlieb J, Marmorstein H. The moderating effects of message framing and source credibility on the priceperceived risk relationship. Journal of Consumer Research 1994; 21:145-53.
43. Lim KH, Sia CL, Lee MKO, et al. Do I trust you online, and if so, will I buy? An empirical study of two trust building strategies. Journal of Management Information System 2006; 23:233-66.
44. Cheung MY, Luo C, Sia CL, et al. Credibility of electronic word-of-mouth: informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce 2009; 13:9-38.
45. Schiffman LG, Kanuk LL. (2000) Consumer behavior. 7th ed. Upper Saddle River, NJ: Prentice Hall.
46. Lee HH, Fiore AM, Kim J. The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses. International Journal of Retail & Distribution Management 2006; 34: 621-44.
47. Wiedmann KP, Walsh G, Mitchell VW. The mannmaven: an agent for diffusing market information. Journal of Marketing Communications 2001; 7:195-212.
48. Chen CY. Accreditation of website credibility: concept, discourse, and operational framework. Mass Communication Research 2011; 106:249-83.
49. Bansal HS, Voyer PA. World-of-mouth processes within a services purchase decision context. Journal of Service Research 2000; 3:166-77.
50. Doh SJ, Hwang JS. How consumers evaluate eWOM (electronic word-of-mouth) messages. Cyber Psychology & Behavior 2009; 12:193-7.
51. Price LL, Feick LF (1984) The role of interpersonal sources in external search: an informational perspective. In Kinnear TC, ed. Advances in consumer research. Vol. 11. Provo, UT: Association for Consumer Research, pp. 250-3.
52. Armstrong CL, McAdams MJ. Blogs of information: how gender cues and individual motivations influence perceptions of credibility. Journal of Computer-Mediated Communication 2009; 14:435-56.
53. Chu SC, Kim Y. Determinants of consumer engagement in electronic word-of-mouth in social networking sites. International Journal of Advertising 2011; 30:47-75.
54. Sweeney JC, Soutar GN, Mazzarol T. Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing 2008; 42:344-64.
55. Fan YW, Miao YF, Farn CK. (2012) Effect of electronic wordof-mouth on consumer purchase intention: the perspective of gender differences. Proceedings of the International Conference on Innovation and Management, Koror, Republic of Palau.
56. Henning-Thurau T, Walsh G. Electronic word of mouth: motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce 2003; 8:51-74.
57. Richins ML. Negative word-of-mouth by dissatisfied customers: a pilot study. Journal of consumer Research 1983; 10:73-82.
58. Jiang Z, Benbasat I. Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research 2007; 18:454-70.
59. Tsai YS, Lu WC, Huang CH. (2008) The influences of product review credibility and product rating credibility on browsers' product attitudes: an online platform of cosmetics. Proceedings of the 11th Conference on Electronic Commerce, Taipei, Taiwan.
60. Wilkie WL. (1994) Consumer behavior. 3rd ed. New York: John Wiley.
61. Bickart B, Schindler RM. Internet forums as influential sources of consumer information. Journal of Interactive Marketing 2001; 15:31-40.
62. Lin WS, Tan CH. A study of persuasive effects of electronic words-of-mouth. Marketing Review 2010; 7:87-208.
63. Fishbein M, Ajzen I (1975) Belief, attitude, intention, and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.
64. Liebermann Y, Flint-Goor A. Message strategy by productclass type: a matching model. International Journal of Marketing Research 1996; 13:237-49.
65. Lee J, Park DH, Han I. The effect of negative online consumer reviews on product attitude: an information processing view. Electronic Commerce Research & Applications 2008; 7:341-52.
66. Prendergast G, Ko D, Yuen SYV. Online word of mouth and consumer purchase intentions. International Journal of Advertising 2010; 29:687-708.
67. Park C, Wang Y, Yao Y. (2011) A structural model of eWOM effects in China. International Conference on Social Science and Humanity, Singapore.
68. Chiou JS, Cheng C. Should a company have message boards on its Web sites. Journal of Interactive Marketing 2003; 17: 50-61.
69. Park CH, Kim YG. Identifying key factors affecting consumer purchase behavior in an online shopping context. International Journal of Retail & Distribution Management 2003; 31:16-29.
70. Karson EJ, Fisher RJ. Reexamining and extending the dual mediation hypothesis in an on-line advertising context. Psychology & Marketing 2005; 22:333-51.
71. Jee J, Lee WN. Antecedents and consequences of perceived interactivity: an exploratory study. Journal of Interactive Advertising 2002; 3:34-45.
72. Sussman SW, Siegal WS. Informational influence in organizations: an integrated approach to knowledge adoption. Information Systems Research 2003; 14:47-65.
73. Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin 1988; 103:411-25.
74. Hair JR Jr, Black WC, Babin BJ, et al. (2010) Multivariate data analysis. 7th ed. Englewood Cliffs, NJ: Prentice-Hall.
75. Bentler PM, Wu EJC. (1993) EQS/Windows user guide, BMDP statistical software. Los Angeles, CA: BMDP Statistical Software.
76. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981; 18:39-50.
77. Gaski JF, Nevin JR. The differential effects of exercised and unexercised power sources in a marketing channel. Journal of Marketing Research 1985; 22:130-42.
78. Baumgartner H, Homburg C. Applications of structural equation modeling in marketing and consumer research: a review. International Journal of Research in Marketing 1996; 13:139-61.
79. Baron, RM, Kenny, DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations. Journal of Personality & Social Psychology 1986; 51:1173-82.
80. McWilliam, G. Building stronger brand through online communities. Sloan Management Review 2000; 41:43-55.
81. Nabi RL, Hendriks A. The persuasive effect of host and audience reaction shots in television talk shows. Journal of Communication 2003; 53:527-43.
82. Dodds BW, Monroe KB, Grewal D. Effect of price, brands and store information on buyers' product evaluation. Journal of Marketing Research 1991; 28:307-19.
83. Park DH, Lee J, Han I. The effect of on-line consumer review on consumer purchasing intention: the moderating role of involvement. International Journal of Electronic Commerce 2007, 11:125-48.
84. Jamal A, Anastasiadou K. Investigating the effects of service quality dimensions and expertise on loyalty. European Journal of Marketing 2009; 43:398-420.
85. D'Astous A, Touil N. Consumer evaluations of movies on the basis of critics' judgments. Psychology & Marketing 1999; 16:677-94.
86. Zourrig H, Chebat JC, Toffoli R. Consumer revenge behaviour: a cross-cultural perspective. Journal of Business Research 2009; 62:995-1001.
87. Harris L, Reynolds KL. The consequences of dysfunctional customer behavior. Journal of Service Research 2003;6:144-61.
88. Reynolds KL, Harris LC. Dysfunctional customer behavior severity: an empirical examination, Journal of Retailing 2009; 85:321-35.
89. Zhao X, Lynch JG, Chen Q. Reconsidering Baron and Kenny: myths and truths about mediation analysis. Journal of Consumer Research 2010; 37:197-206.
90. Preacher KJ, Hayes AF. (2008) Contemporary approaches to assessing mediation in communication research. In Hayes AF, Slater MD, Snyder LB, eds, The Sage sourcebook of advanced data analysis methods for communication research. Thousand Oaks, CA: Sage, pp. 13-54.