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A Spatial Multidimensional Unfolding Choice Model for Examining the Heterogeneous Expressions of Sports Fan Avidity

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  • DeSarbo Wayne S.

    (Penn State University)

Abstract

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.

Suggested Citation

  • DeSarbo Wayne S., 2010. "A Spatial Multidimensional Unfolding Choice Model for Examining the Heterogeneous Expressions of Sports Fan Avidity," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(2), pages 1-24, April.
  • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:2:n:3
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    References listed on IDEAS

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    1. J. A. Hausman & D. A. Wise, 1976. "A Conditional Profit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Working papers 173, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Wayne S. DeSarbo & J. Douglas Carroll & Donald R. Lehmann & John O'Shaughnessy, 1982. "Three-Way Multivariate Conjoint Analysis," Marketing Science, INFORMS, vol. 1(4), pages 323-350.
    3. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257, December.
    4. Wayne DeSarbo & Vithala Rao, 1984. "GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 147-186, December.
    5. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    6. Daniel L. McFadden, 1976. "Quantal Choice Analaysis: A Survey," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390 National Bureau of Economic Research, Inc.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    8. Wayne DeSarbo & Jaewun Cho, 1989. "A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 105-129, March.
    9. Ryan P. Bowles & Kevin J. Grimm & John J. McArdle, 2005. "A Structural Factor Analysis of Vocabulary Knowledge and Relations to Age," Journals of Gerontology: Series B, Gerontological Society of America, vol. 60(5), pages 234-241.
    10. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
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