Antecedents of travellers' electronic word-of-mouth communication

References

• 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
   Web of Science ®Google Scholar
• Ajzen , I. and Fishbein , M. 1980 . Understanding attitudes and predicting social behavior , Englewood Cliffs , NJ : Prentice-Hall .
   Google Scholar
• 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 .
   Google Scholar
• 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
   Google Scholar
• Anderson , E. W. 1998 . Customer satisfaction and word of mouth . Journal of Service Research , 1 ( 1 ) : 5 – 17 . doi: 10.1177/109467059800100102
   Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Balasubramanian , S. and Mahajan , V. 2001 . The economic leverage of the virtual community . International Journal of Electronic Commerce , 5 ( 3 ) : 103 – 138 .
   Web of Science ®Google Scholar
• Bandura , A. 1982 . Self-efficacy mechanism in human agency . American Psychologist , 37 ( 2 ) : 122 – 147 . doi: 10.1037/0003-066X.37.2.122
   Web of Science ®Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Bollen , K. A. 1989 . Structural equations with latent variables , New York , NY : Wiley .
   Google Scholar
• 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
   PubMedGoogle Scholar
• 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 .
   PubMed Web of Science ®Google Scholar
• Breazeale , M. 2009 . Word of mouse: An assessment of electronic word-of-mouth research . International Journal of Market Research , 51 ( 3 ) : 297 – 318 .
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Brooks , R. C. Jr. 1957 . ‘Word-of-mouth’ advertising in selling new products . Journal of Marketing , 22 ( 2 ) : 154 – 161 . doi: 10.2307/1247212
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Campbell , D. T. 1950 . The indirect assessment of social attitudes . Psychological Bulletin , 47 ( 1 ) : 15 – 38 . doi: 10.1037/h0054114
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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 .
   Google Scholar
• 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
   PubMedGoogle Scholar
• Dichter , E. 1966 . How word-of-mouth advertising works . Harvard Business Review , 44 ( 6 ) : 147 – 166 .
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Fishbein , M. and Ajzen , I. 1975 . Belief, attitude, intention, and behavior: An introduction to theory and research , Reading , MA : Addison-Wesley .
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Hair , J. F. , Black , W. C. , Babin , B. J. and Anderson , R. E. 2009 . Multivariate data analysis , 7th , Upper Saddle River , NJ : Pearson Education .
   Google Scholar
• Hauser , J. R. and Shugan , S. M. 1980 . Intensity measures of consumer preference . Operations Research , 28 ( 2 ) : 278 – 320 . doi: 10.2307/170448
   Web of Science ®Google Scholar
• 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
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Jöreskog , K. G. and Sörbom , D. 1993 . LISREL 8: Structural equation modeling with the SIMPLIS command language , Chicago , IL : Scientific Software International .
   Google Scholar
• Jöreskog , K. G. and Sörbom , D. 1996 . LISREL 8 user's reference guide , Chicago , IL : Scientific Software International .
   Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• LaPiere , R. T. 1934 . Attitudes vs. actions . Social Forces , 13 ( 2 ) : 230 – 237 . doi: 10.2307/2570339
   Google Scholar
• 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 .
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Malhotra , N. K. 2010 . Marketing research: An applied orientation , 6th , London : Prentice Hall .
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Nunnally , J. C. and Bernstein , I. H. 1994 . Psychometric theory , 3rd , New York , NY : McGraw-Hill .
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Richins , M. L. 1984 . Word of mouth communication as negative information . Advances in Consumer Research , 11 ( 1 ) : 697 – 702 .
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Rokeach , M. 1968 . Beliefs, attitudes, and values; A theory of organization and change , San Francisco , CA : Jossey-Bass .
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Sundaram , D. S. , Mitra , K. and Webster , C. 1998 . Word-of-mouth communications: A motivational analysis . Advances in Consumer Research , 25 ( 1 ) : 527 – 531 .
   Google Scholar
• Travel Industry Wire. (2011). Traveler reviews weigh heavily in travel booking decisions http://www.travelindustrywire.com/article60066.html (http://www.travelindustrywire.com/article60066.html)
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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 .
   Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Zhou , T. 2011 . Understanding online community user participation: A social influence perspective . Internet Research , 21 ( 1 ) : 67 – 81 . doi: 10.1108/10662241111104884
   Web of Science ®Google Scholar