Journal of Hospitality & Tourism Research

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Register here to gain access to SAGE's 500+ Journals Online

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mattila, A. S.
Right arrow Articles by O'Neill, J. W.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Journal of Hospitality & Tourism Research, Vol. 27, No. 3, 328-341 (2003)
DOI: 10.1177/1096348003252361

Relationships between Hotel Room Pricing, Occupancy, and Guest Satisfaction: A Longitudinal Case of a Midscale Hotel in the United States

Anna S. Mattila, Ph.D.

The Pennsylvania State University asm6{at}psu.edu

John W. O'Neill, Ph.D.

The Pennsylvania State University jwo3{at}psu.edu

This case study examined the relationship among hotel room prices, occupancy percentage, and guest satisfaction using 3 years of data from 3,875 actual guest satisfaction surveys at an upper-midscale hotel. The study concludes that price was a significant predictor of overall guest satisfaction and three key guest-satisfaction components: guest room cleanliness, maintenance, and attentiveness of staff (with negative, curvilinear relationships in all cases). Conversely, occupancy percentage failed to be a significant predictor of guest satisfaction.

Key Words: guest satisfaction • average daily rate • occupancy • curvilinear regression analysis


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?