Cornell Hospitality Quarterly

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

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

SAGETRACK

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
Google Scholar
Right arrow Articles by Lucas, A. F.
Right arrow Articles by Singh, A.K.
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?
Cornell Hospitality Quarterly, Vol. 49, No. 2, 122-133 (2008)
DOI: 10.1177/1938965508315368

Decreases in a Slot Machine's Coefficient of Variation Lead to Increases in Customer Play Time

Anthony F. Lucas

William F. Harrah College of Hotel Administration at the University of Nevada, Las Vegas, AFL2{at}cox.net

A.K. Singh

William F. Harrah College of Hotel Administration at the University of Nevada, Las Vegas, aksingh{at}unlv.nevada.edu

Profits generated from slot operations are critical to the success of all casinos, yet little research has addressed the nature of the customer experience regarding game interaction. The relationship between a reel slot player's time on device and the pay table's coefficient of variation (CV) is examined via computer simulation. The pay table CV is found to be inversely related to the player's expected time on device, as measured by pulls per losing player (PPLP). Findings confound the popular notion that par alone (i.e., house advantage) serves as a legitimate proxy for play time and bolster the research suggesting that standard deviation is the dominant force behind time on device, at the single-trip grain.

Key Words: casino management • time on device • slot machine volatility


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?