The Effect of E-Word of Mouth (E-WOM) on Various Factors Influencing Customers’ Hotel Booking Intention
Keywords:electronic word of mouth, hotel booking, e-comments, online booking, intention to use
Electronic word of mouth received by customers would lead to their hotel booking intention via smartphones both on online or mobile phone application such as Agoda or Booking.com. Travelers who read comments or reviews and made a hotel choice based on those comments were targeted for this study. The research aims to determine the effect of electronic word of mouth on factors influencing hotel booking intention via smartphones. The research hypotheses determine the effect electronic word of mouth attributed toward perceived behavioral control (PB), perceived benefits (PB), subjective norm (SN) and attitude (AT) and how they influence hotel booking intention via smartphones. The paper examines the difference between genders and the purposed model was empirically tested using data collected from an online channel with total respondent of 400 who live in Bangkok. Simple linear regression, multiple linear regression and independent sample T-Test were used for data analysis . This means that travelers want to be known about both complaints and compliments in the online comments. However, this does not mean they intend to reserve a hotel room based on both opinions rather travelers would be approached to reserve a hotel room based on comments. Moreover, this research will help hotel investors, as well as online travel agency operators, to obtain a clearer understanding of guests’ needs and wants in order to offer a more desirable service.
Ajzen, I. (2002). Perceived behavioral control, self-efficiency, locus of control, and theory of planned behavior. Journal of Applied Social Psychology 32: 665-683.
Au, N. (2010). The impact of culture on eComplaints: evidence from Chinese consumers in hospitality organizations, Information and Communication Technologies in Tourism 2010, Springer, pp. 285-296.
Beerli A, M., & Martin, JD. (2004). Factors influencing destination image. Annals of tourism research 31: 657-681
Bickart, B. (2001). Internet forum as influential sources of consumer information. Journal of interactive marketing 15: 31-40.
Brown, J. (2007). Word of mouth communication within online communities: conceptualizing the online social network, Journal of Interactive Marketing, Vol. 21 No. 3, pp. 2-20.
Filieri, R. and McLeay, F. (2013). eWOM and accommodation: an analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, Vol. 53 No. 1, pp. 44-57.
Godes, D. (2004). Using online conversations to study word-of-mouth communication. Marketing science 23: 545-560.
Goh, SK., & Ho, Vt., & Jiang N. (2015). The effect of electronic word of mouth on intention to book accommodation via online peer-to-peer platform: Investigation of Theory of Planned Behavior. Retrieved from https://www.researchgate.net/publication/292187590
Hennig-Thurau, T., & Walsh, G. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the internet. International Journal of Electronic Commerce 8: 51-74.
Holloway, B.B. and Beatty, S.E. (2003). Service failure in online retailing a recovery opportunity. Journal of Service Research, Vol. 6 No. 1, pp. 92-105.
Huang, JH. (2006). Herding in online product choice. Psychology and marketing 23: 413-428.
Kim, W.G. (2016). The impact of social media reviews performance: the moderating role of excellence certificate. International Journal of Hospitality Management. Vol. 55, pp. 41-51.
Kotler, P. (1999). Marketing for Hospitality and Tourism, 5th ed. Pearson Education.
Kurt, T. (2010). The evaluation process: an introduction to the perceived cost/benefit relationship. Retrieved from
Ladhari, R. (2007). The effect of consumption emotions on satisfaction and word of mouth communications. Psychology and Marketing, Vol. 24 No. 12, pp. 1085-1108.
Lam, T. (2006). Predicting behavioral intention of choosing a travel destination. Tourism Management 27: 589-599.
Leung, X.Y. (2017). Bibliometrics of social media research: a co-citation and co-word analysis. International Journal of Hospitality Management, Vol. 66, pp. 35-45.
Litvin, S.W. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, Vol. 29 No. 3, pp. 458-468.
Loureiro, S.M.C. (2011). Corporate reputation, satisfaction, delight, and loyalty towards rural lodging units in Portugal. International Journal of Hospitality Management, Vol. 30 No. 3, pp. 575-583.
Mathieson, K. (2004). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research 2: 173-191.
Mauri, A.G. and Minazzi, R. (2013). Web reviews influence on expectations and purchasing intentions of hotel potential customers. International Journal of Hospitality Management, Vol. 34, pp. 99-107.
Palka, W. (2009). Mobile word-of-mouth-a grounded theory of mobile viral marketing. Journal of Information Technology 24: 172-185.
Perceived behavioral control. Retrieved from https://people.umass.edu/aizen/pbc.html
See Kwong, G. (2015). The effect of electronic word of mouth on intention to book accommodation via online peer-to-peer platform: investigation of theory of planned behavior. Retrieved from
Serra Cantallops, A. and Salvi, F. (2014). New consumer behavior: a review of research on eWOM and hotels. International Journal of Hospitality Management, Vol. 36, pp. 41-51.
Stephanie. (2015). Quota sampling: definition and examples. Retrieved from
Suanders, M; Lewis, P; Thornhill, A. (2012). Convenience sampling. Retrieved from
Viglia, G. (2016). The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management, Vol. 28 No. 9, pp. 2035-2051.
Xie, H.J. (2011). Consumers’ responses to ambivalent online hotel reviews: the role of perceived source credibility and predecisional disposition. International Journal of Hospitality Management, Vol. 30 No. 1, pp. 178-183
Ye, Q. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, Vol. 28 No. 1, pp. 180-182.
Zheng, T. (2009). An analysis of customers’ e-complaints for luxury resort properties. Journal of Hospitality Marketing & Management, Vol. 18 No. 7, pp. 718-729.