Abstract
This article presents a product life cycle and forecasting methodology for both emerging and established casino markets. Gross gaming revenues and win per square foot per day were forecasted using classical time-series decomposition with polynomial regression. The model supports the position that casinos conform to Butler's S-shaped product life cycle for resorts, suggesting that the rapid increases in early-period gaming revenues will not continue without intervention to rejuvenate the industry.
| Original language | American English |
|---|---|
| Journal | Journal of Travel Research |
| Volume | 41 |
| DOIs | |
| State | Published - May 1 2003 |
Disciplines
- Operations and Supply Chain Management
- Business Administration, Management, and Operations
Keywords
- Casino
- Forecasting
- Hotel management
- Product life cycle
- Regression
- Resort management