Journal Article24 March 2025 Anthony Lucas, Jungsun (Sunny) Kim
Slot revenues are critical to the success of many of the world’s casinos. The
rising cost of slot machines has often resulted in fewer games on the floor and
fewer purchases of new games. Such conditions create choices for operators
seeking to optimize slot revenues with their existing game mix, which invariably
includes both high- and low-performing titles. Like game titles, the quality of
all bank locations on the slot floor is not the same. Thus, operators must
decide whether it is better to place the popular titles in the best locations
and the less popular titles in the challenging locations, or the converse. The
results of our paired-samples t test suggested it is the converse, as that
combination produced a statistically and economically significant increase in
daily t-win, over the course of a 120-day sample. Alternatively stated, the
combination of high-performing titles in the bad location and low-performing
titles in the good location outperformed the opposite combination. The observed
increase in the mean daily t-win for the prevailing configuration was 21%,
dropping to 18% with a single outlier omitted. The research design and method
advanced herein offers a simple, rigorous, and objective means of examining this
important question. Academically, this work extended research in the areas of
both the servicescape and performance-potential studies aimed at the evaluation
of individual slot machines.Journal Article11 February 2025 Tiange (Patrick) Xu, Shane Kraus, Brett Abarbanel, Eric Louderback, Heather Gray, Debi LaPlante, Bo Bernhard
This study investigated past-year gambling involvement (i.e., frequency and
breadth) among employees at MGM Resorts International (MGM) and their views on
the effectiveness of MGM’s responsible gambling (RG) program (i.e., GameSense).
It also examined associations between these views and employees’ gambling
behavior, as well as their demographic and work-related characteristics. We used
cross-sectional data drawn from a broader research project, which surveyed a
large sample of MGM employees (n = 814) in 2020. Our analysis revealed that
gambling frequency varied by ethnicity, department affiliations, and property
location, while gambling breadth differed based on gender and department
affiliations. We employed hierarchical multiple regression analysis to identify
the factors that predicted perceived RG program effectiveness. This study
identified four significant predictors of employees’ perceptions regarding the
effectiveness of RG programs: (1) Asian ethnicity, (2) department affiliation
(high or low contact with gamblers), (3) the location of their workplace (Las
Vegas or elsewhere), and (4) tenure in the gaming industry in years. Employees
identifying as Asian, those with longer industry tenure, or those working in
high-contact departments or at non-Las Vegas properties tended to view the RG
programs as more effective. These findings highlight the importance of
developing RG training strategies tailored to the diverse backgrounds of
employees and can be applied to enhance RG programming at land-based casinos.