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Analyzing the Effect of Electronic Word of Mouth on Tourists attitude toward Destination and Travel Intention

Author Affiliations

  • 1National Institute of Applied Sciences and Technology, University of Carthage, TUNISIA
  • 2 High School of Business, University of Manouba, TUNISIA

Int. Res. J. Social Sci., Volume 4, Issue (4), Pages 53-60, April,14 (2015)


This research was aimed to identify the theoretical arguments and hypotheses about the interrelationships between electronic word of mouth (eWOM) and tourists’ attitudes towards specific destinations and actual travel intentions. To this end, we conducted a structural equation model (SEM) to test the relationship between our research variables. An empirical test of the model is reported using data collected from a sample of 219 foreign tourists who participated in online communities and travelled to Tunisia throughout the research period. Our results illustrate that eWOM communication has a credible influence on both attitude and intention to revisit Tunisia as a destination. Some further theoretical and marketing implications are discussed in this study.


  1. Silverman G., The Secrets of Word-of-Mouth Marketing: How to Trigger Exponential Sales Through Runaway Word-of-Mouth, Amacom Books, New York (2001)
  2. Sen S. and Lerman D., Why are you telling me this? An examination into negative consumer reviews on the web, Journal of Interactive Marketing, 21(4), 76-94 (2007)
  3. Park Y.A. and Gretzel U., Success factors for destination marketing web sites: a qualitative meta-analysis, Journal of Travel Research, 46(1), 46-63 (2007)
  4. Lewis R.C. and Chambers R.E., Marketing Leadership in Hospitality. Foundations and Practices, 3rd ed., Wiley, New York (2000)
  5. Albarq A.N., Measuring the Impacts of Online Word-of-Mouth on Tourists’ Attitude and Intentions to Visit Jordan: An Empirical Study, International Business Research, 7(1), 14-22 (2014)
  6. Jalilvand M.R. and Samiei N., The Effect of Word of Mouth on Inbound Tourists Decision for Travelling to Isfahan as a Tourism Destination in an Islamic Republic, Journal of Islamic Marketing, 3(1), 12-21 (2012)
  7. Klein L.R., Evaluating the potential of interactive media through a new lens: search versus experience goods, Journal Business Research, 41(3), 195- 203 (1998)
  8. Nelson P., Information and Consumer Behavior, Journal of Political Economy, 78(20), 311-329 (1970)
  9. Gursoy D and McCleary KW, An integrative model of tourists’ information search behavior, Annals of Tourism Research, 31, 353–373 (2004)
  10. Gruen T.W., Osmonbekov T. and Czaplewski A.J., EWOM: the impact of customer-tocustomer online know-how exchange on customer value and loyalty, Journal of Business Research, 59 (4), 449-56 (2006)
  11. Baloglu S., A path-analytical model of visitation intention involving information sources, socio-psychological motivations and destination images, In: Woodside (2000)
  12. Alegre J. and Cladera M., Analysing the effect of satisfaction and previous visits on tourist intentions to return, European Journal of Marketing, 43(5/6), 670-685 (2009)
  13. Fakharyan M., Jalilvand M., Elyasi M. and Mohammadi M., The influence of online word of mouth communications on tourists’ attitudes toward Islamic destinations and travel intention: Evidence from Iran, Afr. Journal of Business Management,6(38), 10381–10388 (2012)
  14. Zeithaml V., Berry L.L. and Parasuraman A., The behavioral consequences of service quality, Journal of Marketing, 60 (2), 31-46 (1996)
  15. Murray K.B., A test of services marketing theory: consumer information acquisition activities, Journal of Marketing, 55(1), 10-25 (1991)
  16. Sheth J.N., Word-of-mouth in low-risk innovations, Journal of Advertising Research,11(3), 15-8 (1971)
  17. Mikkelsen M., Van Durme J. and Carrie D.G., Viewers talking about television advertising: a supplementary measure of advertising effectiveness, paper presented at the 32nd EMAC, Glasgow (2003)
  18. Grewal R., Cline T.W. and Davies A., Early-entrant advantages, word of mouth communication, brand similarity, and the consumer’s decision-making process, Journal of Consumer Psychology, 13(3), 187-97 (2003)
  19. Herr P.M., Kardes F.R. and Kim J., Effects of word of mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective, Journal of Consumer Research, 17(3) 454-62 (1991)
  20. Webster C., Influences upon consumer expectations of services, The Journal of Services Marketing, 5(1), 5-17 (1991)
  21. Hennig-Thurau, T., Gwinner, K.P., Walsh, G. et Gremler, D.D., Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet?, Journal of International Marketing, 18 (1), 38-52 (2004)
  22. Litvin S.W., Goldsmith R.E. and Pana P., Electronic word-of-mouth in hospitality and tourism management, Tourism Management, 29(3) 458-68 (2008)
  23. Zhu M. and Lai, S. (2009) A study about the WOM influence on tourism destination choice, paper presented at the International Conference on Electronic Commerce and Business Intelligence (ECBI), Beijing (2009)
  24. Gretzel U. and Yoo K., Use and impact of online travel reviews, in O’Connor, P., Hpken,W. and Gretzel, U. (Eds), Information and Communication Technologies in Tourism, Springer-Verlag, Wien, NY, 35-46 (2008)
  25. Vermeulen I.E. and Seegers D., Tried and tested: the impact of online hotel reviews on consumer consideration, Tourism Management, 30(1), 123-7 (2009)
  26. Tucker T., Online word of mouth: Characteristics of Yelp.com reviews, The Elon Journal of Undergraduate Research in Communications,2(1), 37–42 (2011)
  27. Goldenberg J., Libai B. and Muller E., Talk of the network: A complex systems look at the underlying process of word-of-mouth, Journal of Marketing Letter, 12(3), 211–223 (2001)
  28. Ye Q., Law R., Gu B. and Chen W., The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings, Computers in Human Behavior, 27(4),634–639 (2011)
  29. Laczniak R.N., DeCarlo T.E. and Ramaawani S.N., Consumers’ responses to negative word-of-mouth communication: an attribution theory perspective, Journal of Consumer Psychology., 11(1), 57-73 (2001)
  30. Kraus S.J., Attitudes and the prediction of behavior: a meta-analysis of the empirical literature, Personality and Social Psychology Bulletin, 21(1), 58-75 (1995)
  31. Ajzen I, Attitudes, Annual Review of Psychology, 52, 27-58 (2001)
  32. Eagry A.H. and Chailen, S., Psychology of attitudes, Fort Worth, TX: Harcourt Brace Jovanovich (1993)
  33. Chou C.J., Chen K.S. and Wang Y.Y., Green practices in the restaurant industry from an innovation adoption perspective: Evidence from Taiwan, International Journal of Hospitality Management, 31, 703- 711 (2012)
  34. Cheng S., Lam T. and Hsu C.H.C., Testing the sufficiency of the theory of planned behavior: a case of customer dissatisfaction responses in restaurants, International Journal of Hospitality Management, 24 (4), 475-92 (2005)
  35. Ajzen I, The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50(2), 179-211 (1991)
  36. Castaneda J.A., Rodriguez M.A. and Luque T., Attitudes’ hierarchy of effects in online user behavior, Online Information Review, 33(1), 7-21 (2009)
  37. Dennis C., Merrilees B., Jayawardhena C. and Wright L., E-consumer behavior, European Journal of Marketing, 43(10), 1121–1139 (2009)
  38. Ajzen I., Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior, Journal of Applied Social Psychology,32(4), 665-83 (2002)
  39. Ajzen I. and Fishbein M., Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ (1980)
  40. Soderlund M. and Rosengren S., Receiving word-of-mouth from the service customer: an emotion-based effectiveness assessment, Journal of Retailing and Consumer Services, 14(2), 123-36 (2007)
  41. Ying H.L. and Chung C.M.Y., The effects of single-message single-source mixed word-of mouth on product attitude and purchase intention, Asia Pacific Journal of Marketing19(1), 75-86 (2007)
  42. Chevalier J. and Mayzlin D., Promotional chat on the Internet, Marketing Science, 25(2), 155-63 (2006)
  43. Chatterjee P., Online reviews: do consumers use them?, Advances in Consumer Research,28(1), 129-33 (2001)
  44. Chen Y. and Xie J., Online consumer review: word-ofmouth as a new element of marketing communication mix, Management Science,54(3), 477-91 (2008)
  45. Godes D. and Mayzlin D., Using online conversations to study word-of-mouth communication, Marketing Science, 23(4), 545-60 (2004)
  46. Dellarocas C., The digitization of word of mouth: promise and challenges of online feedback mechanisms, Management Science, 49(10), 1407-24 (2003)
  47. Lin T.M.Y., Luarn P. and Huang Y.K., Effect of Internet book reviews on purchase intention: a focus group study, The Journal of Academic Librarianship, 31(5), 461-8 (2005)
  48. Bambauer-Sachse S. and Mangold S., Brand equity dilution through negative online word-of-mouth communication, Journal of Retailing and Consumer Services, 18 (1), 38-45 (2011)
  49. Kassem N.O., Lee, J.W., Modeste N.N. and Johnston P.K., Understanding soft drink consumption among female adolescents using the theory of planned behavior, Health Education Research, 18(3), 278-91 (2010)
  50. Hair J., Black W., Babin B., Anderson R. and Tatham, R., Multivariate data analysis (6th ed.), Upper Saddle River, New Jersey: Pearson Education, Inc (2006)
  51. Abbas A., Suleiman A. and Almualla A., Using structural equation modeling for beginner, Jordan, Amman: Ithraa, Inc (2013)
  52. Byrne B.M., Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming, Lawrence Erlbaum Associates, Mahwah, NJ (1998)
  53. Bentler P.M., Comparative fit indexes in structural models, Psychological Bulletin, 107, 238–246 (1990)
  54. Hu L.T. and Bentler P.M., Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives, Structural Equation Modeling, 6(1), 1-55 (1999)
  55. Nunnally J.C., Bernstein I.H., Psychometric Theory, 3rd ed., McGraw-Hill, New York, NY (1994)
  56. Karunanidhi S. and Chitra T., Influence of Select Psychosocial Factors on the Psychological Well-being of Policewomen, International Research Journal of Social Sciences, 2(8), 5-14 (2013)
  57. Kline R., Principles and Practice of Structural Equation Modeling, 2nd ed, The Guilford Press, New York (2005)
  58. Barbara Z. and Vesna Z., Examination of co-operative norms, beliefs in interpersonal trustworthiness, complementary capabilities and realized competitive advantages in business to-business relationships, Economic and Business Review for Central and South, 8(1), 11–19 (2006)
  59. Lee G. and Tussyadiah I.P., Textual and visual information in eWOM: A gap between preferences in information search and diffusion, Information Technology and Tourism, 12, 351-361 (2011)
  60. Choi S.J., Letho X.Y. and O'Leary J.T., What does the consumer want from a DMO website? A study of US and Canadian tourists' perspectives, International Journal of Tourism Research, 59-72 (2007)