An Empirical Test of Butler's Resort Product Life Cycle: Forecasting Casino Winnings

Steven E. Moss, Chuck Ryan, Charles B. Wagoner

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

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 languageAmerican English
JournalJournal of Travel Research
Volume41
DOIs
StatePublished - 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

Fingerprint

Dive into the research topics of 'An Empirical Test of Butler's Resort Product Life Cycle: Forecasting Casino Winnings'. Together they form a unique fingerprint.

Cite this