Award Date
1-1-2007
Degree Type
Thesis
Degree Name
Master of Health Administration (MHA)
Department
Hotel Administration
First Committee Member
Zheng Gu
Number of Pages
65
Abstract
The study utilizes the Bayesian mechanism and calculates the likelihood for each of the booking channels in the study to supply to lodging operations UNLV students who will become highly satisfied with the subsequent hotel stays. Hospitality proprietary booking channels (booking by phone or booking through a hotel's own web site) are more likely to supply a highly satisfied student traveler to an operation than intermediary booking channels, such as booking through a merchant site or addressing a travel agent; Moreover, UNLV students who utilize hospitality proprietary channels tend to bring higher room revenue to a lodging operation than the students who book through intermediary channels. At the 0.05 significance level, UNLV students' overall satisfaction with booking experiences is the only factor related to experiences with booking channels to influence respondents' satisfaction with the subsequent hotel stays.
Keywords
Analysis; Bayesian; Booking; Channels; Hotel; Regression; Rule; Satisfaction
Controlled Subject
Marketing; Commerce
File Format
File Size
1658.88 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Poliakova, Tatiana, "Hotel satisfaction and booking channels: The Bayesian rule and regression analysis" (2007). UNLV Retrospective Theses & Dissertations. 2133.
http://dx.doi.org/10.25669/3b6n-fkwq
Rights
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