Abstract
Online bookings of hotels have increased drastically in recent years. Studies in tourism and hospitality have investigated the relevance of hotel attributes influencing choice but not yet explore them in an online booking setting. This paper presents findings about consumers’ stated preferences for decision criteria from an adaptive conjoint study among 346 respondents. The results show that recommendations of friends and online reviews are the most important factors that influence online hotel booking. Partitioning the importance values of the decision criteria reveals group-specific differences indicating the presence of market segments.
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Bell, R.A. & Morey, R.C. (1996). Purchase Situation Modeling: The Case of Hotel Selection Criteria for Corporate Travel Departments. Journal of Travel Research, 35(1): 57–63.
Callan, R. (1998). Attributional Analysis of Customers’ Hotel Selection Criteria by U.K. Grading Scheme Categories. Journal of Travel Research, 36(3): 20–34.
Dimitriadou, E., Dolnicar, S. & Weingessel, A. (2002). An Examination of Indexes for Determining the Number of Clusters in Binary Data Sets. Psychometrika 67(1): 137–160.
Dubé, L & Renaghan L.M. (2000a). Creating Visible Customer Value: How Customers View Best-Practice Champions. Cornell Hotel and Restaurant Administration Quarterly 41(1): 62–72.
Dubé, L. & Renaghan L.M. (2000b). Marketing Your Hotel to and Through Intermediaries. Cornell Hotel and Restaurant Administration Quarterly 41(1): 73–83.
Essawy, M. (2006). Testing the Usability of Hotel Websites: The Springboard for Customer Relationship Building. Information Technology & Tourism 8(1): 47–70.
Gursoy, D. & McLeary, K.W. (2003). An Integrative Model of Tourists’ Information Search Behavior. Annals of Tourism Research 31(2): 353–373.
Hu, C. & Hiemstra, S. J. (1996). Hybrid Conjoint Analysis as a Research Technique to Measure Meeting Planners’ Preferences in Hotel Selection. Journal of Travel Research 35(2): 62–69.
Law, R. & Leung, R. (2000). A Study of Airline’s Online Reservation Services on the Internet. Journal of Travel Research 39(2): 202–211.
Law, R. & Leung, K. (2002). Online Airfare Reservation Services: A Study of Asian-Based and North American-Based Travel Web Sites. Information Technology & Tourism 5(1): 25–33.
Law, R. & Chan, S. (2004). Internet and Tourism — Part XIV: hotels.com. Journal of Travel and Tourism Marketing 17(4): 79–81.
Lewis, R. (1985). Predicting Hotel Choice: The Factors Underlying Perception. Cornell Hotel and Restaurant Administration Quarterly 25(4): 82–96.
Lewis, R. (1984). Isolating Differences in Hotel Attributes. Cornell Hotel and Restaurant Administration Quarterly 25(3): 64–77.
Lieux, E. M., Weaver, P.A. & McCleary, K. (1994). Lodging Preferences of the Senior Tourism Market. Annals of Tourism Research 21(4): 712–728.
Klein, S., Könne, F., Õörni, A. (2004). Barriers to Online Booking of Scheduled Airline Tickets. Journal of Travel &: Tourism Marketing 17(2/3): 27–39.
Marcussen, C. (2007). Trends in European Internet Distribution — of Travel and Tourism Services. http://www.crt.dk/uk/staff/chm/trends.htm (access date: 20. August 2007)
Mazanec, J. & Strasser H. (2000). A Nonparametric Approach to Perceptions-Based Market Segmentation: Foundations. Vienna-New York: Springer.
Mazanec, J. A. (2001). Neural Market Structure Analysis: Novel Topology-Sensitive Methodology. European Journal of Marketing 35(7-8): 894–916.
McCleary, K., Weaver, P. & Hutchinson, J. (1993). Hotel Selection Factors as They Relate to Business Travel Situations. Journal of Travel Research 32(2): 42–48.
McCleary, K., Weaver, P. & Lan, L. (1994). Gender-based Differences in Business Traveler’s Lodging Preferences. Cornell Hotel and Restaurant Administration Quarterly 35(2): 51–58.
Mehta, S. & Vera, A. (1990). Segmentation in Singapore. Cornell Hotel and Restaurant Administration Quarterly 31(1): 80–87.
Richard, M.D. & Sundaram, D.S. (1994). A Model of Lodging Repeat Choice Intentions. Annals of Tourism Research 21(4): 745–755.
Sawtooth, Inc. (2007). SSI Web v6 Software for Web Interviewing and Conjoint Analysis. Bryan Orme, Editor (Updated 23 March 2007) Sawtooth Software, Inc. Sequim, WA http://www.sawtoothsoftware.com
Tüchler, R., Frühwirth-Schnatter, S. & Otter, T. (2004). Bayesian Analysis of the Heterogeneity Model. Journal of Business and Economic Statistics 22(1): 2–15.
Wind, J., Green P., Shifflet, D. & Scarborough M. (1989). Courtyard by Marriott: Designing a Hotel Facility with Consumer-Based Marketing Models. INTERFACES 19(1): 25–47.
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© 2008 Springer-Verlag Wien
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Dickinger, A., Mazanec, J. (2008). Consumers’ Preferred Criteria for Hotel Online Booking. In: O’Connor, P., Höpken, W., Gretzel, U. (eds) Information and Communication Technologies in Tourism 2008. Springer, Vienna. https://doi.org/10.1007/978-3-211-77280-5_22
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DOI: https://doi.org/10.1007/978-3-211-77280-5_22
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-77279-9
Online ISBN: 978-3-211-77280-5