Exploring the Demand Aspects of Sports Consumption and Fan Avidity

References

• Akaike H. (1974) A new look at statistical model identification. IEEE Trans. Automatic Control 19(6) 716–723.Crossref, Google Scholar
• Allen N. J., Meyer J. P. (1990) The measurement and antecedents of affective, continuance, and normative commitment to the organization. British Psych. Soc. 63(1) 1–18.Google Scholar
• Bauer H. H., Stokburger-Sauer N. E., Exler S. (2008) Brand image and fan loyalty in professional team sport: A refined model and empirical assessment. J. Sport Management 22(2) 205–226.Crossref, Google Scholar
• Bockenholt U., Bockenholt I. (1991) Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data. Psychometrika 56(4) 699–716.Crossref, Google Scholar
• Borg I., Groenen P. J. F. (2005) Modern Multidimensional Scaling: Theory and Applications, 2nd ed. (Springer, New York) .Google Scholar
• Bozdogan H. (1987) Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika 52(3) 345–370.Crossref, Google Scholar
• Carroll J. D., Pruzanksy S., Kruskal J. B. (1979) CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters. Psychometrika 45(1) 3–24.Crossref, Google Scholar
• Dayton M. C., MacReady G. B. (1988) Concomitant variable latent class models. J. Amer. Statist. Assoc. 1(83) 173–179.Crossref, Google Scholar
• Dempster A. P., Laird M. N., Rubin D. B. (1977) Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. Ser. B 39(1) 1–38.Google Scholar
• DeSarbo W. S. (2009) Measuring fan avidity can help marketers narrow their focus. Sports Bus. J. 14(15) 13–14.Google Scholar
• DeSarbo W. S. (2010) A spatial multidimensional unfolding choice model for examining the heterogeneous expressions of sports fan avidity. J. Quant. Anal. Sports 6(2) 1–22.Google Scholar
• DeSarbo W. S., Cho J. (1989) A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data. Psychometrika 54(1) 105–129.Crossref, Google Scholar
• DeSarbo W. S., Hoffman D. L. (1987) Constructing MDS joint spaces from binary choice data: A multidimensional unfolding threshold model for marketing research. J. Marketing Res. 24(1) 40–54.Crossref, Google Scholar
• DeSarbo W. S., Rao V. R. (1984) GENFOLD2: A set of models and algorithms for the GENeral unFOLDing analysis of preference/dominance data. J. Classification 1(1) 147–186.Crossref, Google Scholar
• DeSarbo W. S., Rao V. R. (1986) A constrained unfolding model for product positioning analysis. Marketing Sci. 5(1) 1–19.Link, Google Scholar
• DeSarbo W. S., Grewal R., Scott C. J. (2008) A clusterwise bilinear multidimensional scaling methodology for simultaneous segmentation and positioning analyses. J. Marketing Res. 45(3) 280–292.Crossref, Google Scholar
• DeSarbo W. S., Manrai A., Manrai L. (1994) Latent class multidimensional scaling analysis. , Bagozzi R., ed. Advanced Methods of Marketing Research. (Wiley, Cambridge, MA) , 190–222.Google Scholar
• DeSarbo W. S., Carroll J. D., Lehmann D., O'Shaughnessy J. (1982) Three-way multivariate conjoint analysis. Marketing Sci. 1(4) 323–350.Link, Google Scholar
• Fisher R. J. (1998) Group-derived consumption: The role of similarity and attractiveness in identification with a favorite sports team. Adv. Consumer Res. 25(1) 283–288.Google Scholar
• Fisher R. J., Wakefield K. (1998) Factors leading to group identification: A field study of winners and losers. Psych. Marketing 15(1) 23–40.Crossref, Google Scholar
• Greenwood P. B. (2001) Sport fan team identification in a professional expansion setting. . Master's thesis, North Carolina State University, Raleigh, NC.Google Scholar
• Hill B., Green C. (2000) Repeat attendance as a function of involvement, loyalty, and the sportscape across three football contexts. Sport Management Rev. 3(2) 145–162.Crossref, Google Scholar
• James J. D., Kolbe R. H., Trail G. T. (2002) Psychological connection to a new sport team: Building or maintaining the consumer base? Sport Marketing Quart. 11(4) 215–225.Google Scholar
• Kwon H. H., Armstrong K. L. (2002) Factors influencing impulse buying of sport team licensed merchandise. Sport Marketing Quart. 11(3) 151–163.Google Scholar
• Madrigal R. (2000) The influence of social alliances with sports teams on intentions to purchase corporate sponsors' products. J. Advertising 29(4) 13–27.Crossref, Google Scholar
• Madrigal R. (2004) A review of team identification and its influence on consumers' responses toward corporate sponsors. , Kahle L. R., Riley C., eds. Sports Marketing and the Psychology of Marketing Communication. (Lawrence Erlbaum Associates, Mahwah, NJ) , 241–255.Google Scholar
• Mahony D. F., Madrigal R., Howard D. (2000) Using the psychological commitment to team (PCT) scale to segment sport consumers based on loyalty. Sport Marketing Quart. 9(1) 15–25.Google Scholar
• Park S. H., Kim Y. M. (2000) Conceptualizing and measuring the attitudinal loyalty construct in recreational sport contexts. J. Sport Management 14(3) 197–207.Crossref, Google Scholar
• Plunkett J. W. (2009) Plunkett's Sports Industry Almanac 2010. (Plunkett Research, Ltd., Houston, TX) .Google Scholar
• Powell M. J. D. (1977) Restart procedures for the conjugate gradient method. Math. Programming 12(1) 241–254.Crossref, Google Scholar
• Schwartz G. (1978) Estimating the dimension of a model. Ann. Statist. 6(2) 461–464.Crossref, Google Scholar
• Slater P. (1960) The analysis of personal preferences. British J. Statist. Psych. 13(November) 119–135.Crossref, Google Scholar
• Sports Business Journal Daily (2009) The sports industry annual report. (Street & Smith Sports Group, New York) .Google Scholar
• Sports Business Journal Daily (2010) Demographic trends among major sports (April 19–20). (Street & Smith Sports Group, New York) .Google Scholar
• Syracuse A. (2008) The National Hockey League's power play. Target Marketing (November 1) 1–2.Google Scholar
• Takane Y., Kiers H. A., de Leeuw J. (1995) Component analysis with different sets of constraints on different dimensions. Psychometrika 60(2) 259–280.Crossref, Google Scholar
• Tucker L. R. (1960) Intra-individual and inter-individual multidimensionality. , Gulliksen H., Messick S., eds. Psychological Scaling: Theory and Applications. (Wiley, New York) , 155–167.Google Scholar
• Wakefield K. L., Sloan H. J. (1995) The effects of team loyalty and selected stadium factors on spectator attendance. J. Sport Management 9(2) 153–172.Crossref, Google Scholar
• Wann D. L., Branscombe N. R. (1991) The positive social and self concept consequences of sports team identification. J. Sport Social. Issues 15(2) 115–127.Crossref, Google Scholar
• Wann D. L., Branscombe N. R. (1993) Sports fans: Measuring degree of identification with the team. Internat. J. Sport Psych. 24(1) 1–17.Google Scholar
• Wann D. L., Pierce S. (2003) Measuring sport team identification and commitment: An empirical comparison of the sport spectator identification scale and the psychological commitment to team scale. North Amer. J. Psych. 5(3) 362–372.Google Scholar
• Wann D. L., Melnick M., Russell G., Pease D. G. (2001) Sport Fans: The Psychology and Social Impact of Spectators. (Routledge, London) .Google Scholar
• Wedel M., DeSarbo W. S. (1996) An exponential-family multidimensional scaling mixture methodology. J. Bus. Econom. Statist. 14(4) 447–459.Google Scholar
• Wedel M., Kamakura W. A. (2000) Market Segmentation: Conceptual and Methodological Foundations. (Kluwer, Boston) .Crossref, Google Scholar
• Williamson D. P., Zhang J. J., Pease D. G., Gaa J. P. (2003) Dimensions of spectator identification associated with women's professional basketball game attendance. Internat. J. Sport Management 4(1) 59–91.Google Scholar