Antecedents of travellers' electronic word-of-mouth communication

Journal of Marketing Management

Volumn 29, Issue 5-6, 2013, Pages 584-606

  Liang, Silvia Wan Ju ^a   Ekinci, Yuksel ^a   Occhiocupo, Nicoletta ^a   Whyatt, Georgina ^a  

^a OXFORD BROOKES UNIVERSITY   (United Kingdom)

Author keywords

adoption of electronic communication technology; attitude; consumer satisfaction; electronic word of mouth (eWOM); structural equation modelling (SEM); subjective norm

Indexed keywords

EID: 84879688560     PISSN: 0267257X     EISSN: 14721376     Source Type: Journal    
DOI: 10.1080/0267257X.2013.771204     Document Type: Article

References (81)

1. Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2): 179 - 211. doi: 10.1016/0749-5978(91)90020-T
2. Ajzen, I. and Fishbein, M. 1980. Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall.
3. Ajzen, I. and Fishbein, M. 2005. " The influence of attitudes on behavior ". In The handbook of attitudes, Edited by: Albarracin, D., Johnson, B. T. and Zanna, M. P. 173 - 222. Mahwah, NJ: Lawrence Erlbaum.
4. Amabile, T. M. 1993. Motivational synergy: Toward new conceptualizations of intrinsic and extrinsic motivation in the workplace. Human Resource Management Review, 3 (3): 185 - 201. doi: 10.1016/1053-4822(93)90012-S
5. Anderson, E. W. 1998. Customer satisfaction and word of mouth. Journal of Service Research, 1 (1): 5 - 17. doi: 10.1177/109467059800100102
6. Babin, B. J., Lee, Y.-K., Kim, E.-J. and Griffin, M. 2005. Modeling consumer satisfaction and word-of-mouth: Restaurant patronage in Korea. The Journal of Services Marketing, 19 (3): 133 - 139. doi: 10.1108/08876040510596803
7. Bagozzi, R. P. 1981. Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41 (4): 607 - 627. doi: 10.1037/0022-3514.41.4.607
8. Balasubramanian, S. and Mahajan, V. 2001. The economic leverage of the virtual community. International Journal of Electronic Commerce, 5 (3): 103 - 138.
9. Bandura, A. 1982. Self-efficacy mechanism in human agency. American Psychologist, 37 (2): 122 - 147. doi: 10.1037/0003-066X.37.2.122
10. Bansal, H. S. and Voyer, P. A. 2000. Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3 (2): 166 - 177. doi: 10.1177/109467050032005
11. Beldona, S., Morrison, A. M. and O'Leary, J. 2005. Online shopping motivations and pleasure travel products: a correspondence analysis. Tourism Management, 26 (4): 561 - 570. doi: 10.1016/j.tourman.2004.03.008
12. Bollen, K. A. 1989. Structural equations with latent variables, New York, NY: Wiley.
13. Borsari, B. and Carey, K. B. 2001. Peer influences on college drinking: A review of the research. Journal of Substance Abuse, 13 (4): 391 - 424. doi: 10.1016/s0899-3289(01)00098-0
14. Borsari, B. and Carey, K. B. 2003. Descriptive and injunctive norms in college drinking: A meta-analytic integration. Journal of Studies on Alcohol, 64 (3): 331 - 341.
15. Breazeale, M. 2009. Word of mouse: An assessment of electronic word-of-mouth research. International Journal of Market Research, 51 (3): 297 - 318.
16. Bronner, F. and d, Hoog, R. 2011. Vacationers and eWOM: Who posts, and why, where, and what?. Journal of Travel Research, 50 (1): 15 - 26. doi: 10.1177/0047287509355324
17. Brooks, R. C. Jr. 1957. 'Word-of-mouth' advertising in selling new products. Journal of Marketing, 22 (2): 154 - 161. doi: 10.2307/1247212
18. Brown, J., Broderick, A. J. and Lee, N. 2007. Word-of-Mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21 (3): 2 - 20. doi: 10.1002/dir.20082
19. Brown, T. J., Mowen, J. C., Donavan, D. T. and Licata, J. W. 2002. The customer orientation of service workers: Personality trait effects on self- and supervisor performance ratings. Journal of Marketing Research, 39 (1): 110 - 119. doi: 10.1002/dir.20082
20. Buffardi, L. E. and Campbell, W. K. 2008. Narcissism and social networking web sites. Personality and Social Psychology Bulletin, 34 (10): 1303 - 1314. doi: 10.1177/0146167208320061
21. Campbell, D. T. 1950. The indirect assessment of social attitudes. Psychological Bulletin, 47 (1): 15 - 38. doi: 10.1037/h0054114
22. Cheung, C. M. K. and Lee, M. K. O. 2012. What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision Support Systems, 53 (1): 218 - 225. doi: 10.1016/j.dss.2012.01.015
23. Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3): 319 - 340. doi: 10.2307/2632151
24. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8): 982 - 1003. doi: 10.1111/j.1559-1816.1992.tb00945.x
25. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22 (14): 1111 - 1132. doi: 10.1111/j.1559-1816.1992.tb00945.x
26. Delgadillo, Y. and Escalas, J. E. 2004. Narrative word-of-mouth communication: Exploring memory and attitude effects of consumer storytelling. Advances in Consumer Research, 31 (1): 186 - 192.
27. Deutsch, M. and Gerard, H. B. 1955. A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51 (3): 629 - 636. doi: 10.1037/h0046408
28. Dichter, E. 1966. How word-of-mouth advertising works. Harvard Business Review, 44 (6): 147 - 166.
29. Eisenbeiss, M., Blechschmidt, B., Backhaus, K. and Freund, P. A. 2012. 'The (real) world is not enough': Motivational drivers and user behavior in virtual worlds. Journal of Interactive Marketing, 26 (1): 4 - 20. doi: 10.1016/j.intmar.2011.06.002
30. Ekinci, Y., Dawes, P. L. and Massey, G. R. 2008. An extended model of the antecedents and consequences of consumer satisfaction for hospitality services. European Journal of Marketing, 42 (1/2): 35 - 68. doi: 10.1108/03090560810840907
31. Fishbein, M. and Ajzen, I. 1975. Belief, attitude, intention, and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley.
32. Fornell, C. and Larcker, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1): 39 - 50. doi: 10.2307/3151312
33. Gomberg, L., Schneider, S. K. and DeJong, W. 2001. Evaluation of social norms marketing campaign to reduce high-risk drinking at the university of Mississippi. American Journal of Drug and Alcohol Abuse, 27 (2): 375 - 389. doi: 10.1081/ADA-100103715
34. Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. 2009. Multivariate data analysis, 7th, Upper Saddle River, NJ: Pearson Education.
35. Hauser, J. R. and Shugan, S. M. 1980. Intensity measures of consumer preference. Operations Research, 28 (2): 278 - 320. doi: 10.2307/170448
36. Hennig-Thurau, T., Gwinner, K. P., Walsh, G. and 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. doi: 10.1002/dir.10073
37. Hennig-Thurau, T. and Walsh, G. 2003. Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8 (2): 51 - 74.
38. Hu, L.-T. and Bentler, P. M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6 (1): 1 - 55. doi: 10.1080/10705519909540118
39. Jöreskog, K. G. and Sörbom, D. 1993. LISREL 8: Structural equation modeling with the SIMPLIS command language, Chicago, IL: Scientific Software International.
40. Jöreskog, K. G. and Sörbom, D. 1996. LISREL 8 user's reference guide, Chicago, IL: Scientific Software International.
41. Kelman, H. C. 1958. Compliance, identification, and internalization: Three processes of attitude change. The Journal of Conflict Resolution, 2 (1): 51 - 60. doi: 10.2307/172844
42. Kozinets, R. V. 2002. The field behind the screen: Using netnography for marketing research in online communities. Journal of Marketing Research, 39 (1): 61 - 72. doi: 10.2307/1558584
43. Laczniak, R. N., DeCarlo, T. E. and Ramaswami, S. N. 2001. Consumers' responses to negative word-of-mouth communication: An attribution theory perspective. Journal of Consumer Psychology, 11: 57 - 73. doi: 10.1207/S15327663JCP1101_5
44. LaPiere, R. T. 1934. Attitudes vs. actions. Social Forces, 13 (2): 230 - 237. doi: 10.2307/2570339
45. Lee, C. S., Ma, L. and Goh, D. H.-L. 2011. " Why do people share news in social media? ". In Active media technology, Edited by: Zhong, N., Callaghan, V., Ghorbani, A. A. and Hu, B. 129 - 140. Berlin: Springer.
46. Lee, M. and Youn, S. 2009. Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28 (3): 473 - 499. doi: 10.2501/S0265048709200709
47. Litvin, S. W., Goldsmith, R. E. and Pan, B. 2008. Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29 (3): 458 - 468. doi: 10.1016/j.tourman.2007.05.011
48. MacCallum, R. C., Browne, M. W. and Sugawara, H. M. 1996. Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1 (2): 130 - 149. doi: 10.1037/1082-989x.1.2.130
49. Malhotra, N. K. 2010. Marketing research: An applied orientation, 6th, London: Prentice Hall.
50. Manning, M. 2009. The effects of subjective norms on behaviour in the theory of planned behaviour: A meta-analysis. British Journal of Social Psychology, 48 (4): 649 - 705. doi: 10.1348/014466608X393136
51. Manning, M. 2011. When we do what we see: The moderating role of social motivation on the relation between subjective norms and behavior in the theory of planned behavior. Basic and Applied Social Psychology, 33 (4): 351 - 364. doi: 10.1080/01973533.2011.589304
52. Mattila, A. S. and Wirtz, J. 2004. Consumer complaining to firms: The determinants of channel choice. Journal of Services Marketing, 18 (2): 147 - 155. doi: 10.1108/08876040410528746
53. McQuitty, S. 2004. Statistical power and structural equation models in business research. Journal of Business Research, 57 (2): 175 - 183. doi: 10.1016/S0148-2963(01)00301-0
54. Nunnally, J. C. and Bernstein, I. H. 1994. Psychometric theory, 3rd, New York, NY: McGraw-Hill.
55. Park, H. S. and Smith, S. W. 2007. Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: A case of two behaviors critical to organ donation. Human Communication Research, 33 (2): 194 - 218. doi: 10.1111/j.1468-2958.2007.00296.x
56. Phelps, J. E., Lewis, R., Mobilio, L., Perry, D. and Raman, N. 2004. Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along email. Journal of Advertising Research, 44 (4): 333 - 348. doi: 10.1017/S0021849904040371
57. Richins, M. L. 1983. Negative word-of-mouth by dissatisfied consumers: A pilot study. Journal of Marketing, 47 (1): 68 - 78. doi: 10.2307/3203428
58. Richins, M. L. 1984. Word of mouth communication as negative information. Advances in Consumer Research, 11 (1): 697 - 702.
59. Riegner, C. 2007. Word of mouth on the Web: The impact of Web 2.0 on consumer purchase decisions. Journal of Advertising Research, 47 (4): 436 - 447. doi: 10.2501/S0021849907070456
60. Rokeach, M. 1968. Beliefs, attitudes, and values; A theory of organization and change, San Francisco, CA: Jossey-Bass.
61. Schepers, J. and Wetzels, M. 2007. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information and Management, 44 (1): 90 - 103. doi: 10.1016/j.im.2006.10.007
62. Senecal, S. and Nantel, J. 2004. The influence of online product recommendations on consumers' online choices. Journal of Retailing, 80 (2): 159 - 169. doi: 10.1016/j.jretai.2004.04.001
63. Simpson, P. M. and Siguaw, J. A. 2008. Destination word of mouth: The role of traveler type, residents, and identity salience. Journal of Travel Research, 47 (2): 167 - 182. doi: 10.1177/0047287508321198
64. Smith, R. E. and Vogt, C. A. 1995. The effects of integrating advertising and negative word-of-mouth communications on message processing and response. Journal of Consumer Psychology, 4 (2): 133 - 151. doi: 10.1207/s15327663jcp0402_03
65. Spreng, R. A., MacKenzie, S. B. and Olshavsky, R. W. 1996. A Reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60 (3): 15 - 32. doi: 10.2307/1251839
66. Sun, T., Youn, S., Wu, G. and Kuntaraporn, M. 2006. Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11 (4): 1104 - 1127. doi: 10.1111/j.1083-6101.2006.00310.x
67. Sundaram, D. S., Mitra, K. and Webster, C. 1998. Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25 (1): 527 - 531.
68. Travel Industry Wire. (2011). Traveler reviews weigh heavily in travel booking decisions http://www.travelindustrywire.com/article60066.html
69. Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11 (4): 342 - 365. doi: 10.1287/isre.11.4.342.11872
70. Venkatesh, V. and Davis, F. D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2): 186 - 204. doi: 10.2307/2634758
71. Venkatesh, V. and Morris, M. G. 2000. Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24 (1): 115 - 139. doi: 10.2307/3250981
72. Vijayasarathy, L. R. 2004. Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41 (6): 747 - 762. doi: 10.1016/j.im.2003.08.011
73. Wang, Y. and Fesenmaier, D. R. 2003. Assessing motivation of contribution in online communities: An empirical investigation of an online travel community. Electronic Markets, 13 (1): 33 - 45. doi: 10.1080/1019678032000052934
74. Wang, Y. and Fesenmaier, D. R. 2004. Towards understanding members' general participation in and active contribution to an online travel community. Tourism Management, 25 (6): 709 - 722. doi: 10.1016/j.tourman.2003.09.011
75. Warshaw, P. R. 1980. A new model for predicting behavioral intentions: An alternative to Fishbein. Journal of Marketing Research, 17 (2): 153 - 172. doi: 10.2307/3150927
76. Wu, J.-H. and Wang, S.-C. 2005. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information and Management, 42 (5): 719 - 729. doi: 10.1016/j.im.2004.07.001
77. Yi, M. Y. and Hwang, Y. 2003. Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59 (4): 431 - 449. doi: 10.1016/S1071-5819(03)00114-9
78. Yi, Y. 1990. " A critical review of consumer satisfaction ". In Review of marketing, Edited by: Zeithaml, V. A. Vol. 4, 68 - 123. Chicago, IL: American Marketing Association.
79. Yoo, K. H. and Gretzel, U. 2008. What motivates consumers to write online travel reviews?. Information Technology and Tourism, 10 (4): 283 - 295. doi: 10.3727/109830508788403114
80. Zhang, J. Q., Craciun, G. and Shin, D. 2010. When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63 (12): 1136 - 1341. doi: 10.1016/j.jbusres.2009.12.011
81. Zhou, T. 2011. Understanding online community user participation: A social influence perspective. Internet Research, 21 (1): 67 - 81. doi: 10.1108/10662241111104884