A Spatial Multidimensional Unfolding Choice Model for Examining the Heterogeneous Expressions of Sports Fan Avidity
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Wayne S. DeSarbo
The sports industry is one of the ten largest business sectors in the U.S., and its primary source of revenue is derived from sports fans. Yet, little has been published in the academic journals about fans' allocation of time, effort, and/or financial expenditures in regard to the sports they care so desperately about. The objective of this research is to uncover the multidimensional aspects of the observed manifestations of fan avidity, and explore the nature of the heterogeneity of such expressions. Data were collected from a student sample of football fans from a well-known university. Thirty-five different expressions of fan avidity were uncovered related to how these fans follow and support their football team. A spatial choice multidimensional unfolding model is developed and reveals four latent dimensions of fan avidity expression. The managerial aspects of these empirical findings are provided, as well as several directions for future research.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
- Conference Paper
- Predicting Overtime with the Pythagorean Formula
- Using Game Theory to Optimize Performance in a Best-of-N Set Match
- A Spatial Multidimensional Unfolding Choice Model for Examining the Heterogeneous Expressions of Sports Fan Avidity
- Anomalies in Tournament Design: The Madness of March Madness
- Skill Importance in Women's Volleyball
- Quantifying the Effect of Performance-Enhancing Drug Use on Fastball Velocity in Major League Baseball
- A New Iterative Method for Ranking College Football Teams
- Receiver Operating Characteristic (ROC) Curves for Measuring the Quality of Decisions in Cricket
- Visualization of Crew Race Performance: Drives and Duels
- Valuations of Soccer Players from Statistical Performance Data
- Measuring Risk in NFL Playcalling
- Using Random Forests and Simulated Annealing to Predict Probabilities of Election to the Baseball Hall of Fame
- The 2009 New England Symposium on Statistics in Sports
