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 |
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Journal | Journal of Travel Research |
Volume | 41 |
DOIs | |
State | Published - May 1 2003 |
Keywords
- Casino
- Forecasting
- Hotel management
- Product life cycle
- Regression
- Resort management
DC Disciplines
- Operations and Supply Chain Management
- Business Administration, Management, and Operations