Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Toward Optimizing Slot Machine Revenue via Title and Location Combinations

Bibliographic Data

ID17722158
AuthorsAnthony F Lucas (0000-0002-4477-9728, University of Nevada, Reno), Jungsun Kim (0009-0009-3139-6910, University of Nevada, Reno)
Year2026
Volume28
Issue1
Publication date2026-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Tourism Research (JOURNAL)
Journal identifiersISSN: 1099-2340 • E-ISSN: 1522-1970
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jtr.70167
OpenAlexW7124548065
LanguageEN
References cited22

Competing slot floor configurations were compared to identify whether significant differences in performance would occur. Using revenue data collected from two major Las Vegas Strip resorts, the combination of popular slot titles located in prime floor locations and unpopular titles installed in unfavorable locations outperformed the opposite combination. The difference in performance was indeed significant, aiding operators in the challenge of optimizing critical slot revenues. To the best of our knowledge, this was also the first study to measure the location‐specific impacts on game performance, by examining identical games installed in both prime and unfavorable bank locations in large‐format casinos. The outcomes revealed that prime locations significantly elevated revenue production for both popular and unpopular titles. This work extended existing research in the areas of servicescape, performance‐potential, and merchandising. The quasi‐experimental design advanced herein provides operators with the means to replicate this study using results generated by their own games

Las vegas · Replicate · Revenue · Artificial Intelligence in Games · Educational Games and Gamification · Gambling Behavior and Treatments

  • Servicescapes

    Open Access•Mary Jo Bitner•Journal of Marketing•1992

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae