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Effects of new stadia on consumers' ...
~
Stewart, Rebecca L.
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Effects of new stadia on consumers' consumption intentions.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Effects of new stadia on consumers' consumption intentions./
作者:
Stewart, Rebecca L.
面頁冊數:
170 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-05(E), Section: A.
Contained By:
Dissertation Abstracts International74-05A(E).
標題:
Business Administration, Sports Management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3550088
ISBN:
9781267869852
Effects of new stadia on consumers' consumption intentions.
Stewart, Rebecca L.
Effects of new stadia on consumers' consumption intentions.
- 170 p.
Source: Dissertation Abstracts International, Volume: 74-05(E), Section: A.
Thesis (Ph.D.)--University of Northern Colorado, 2012.
Recently, there has been a tremendous increase in the number of new facilities opening. From 2008 to 2010, there were 69 stadia and arenas in both professional and college sport that scheduled to open after new construction or renovation (Muret, 2008). Franchises in the National Football League (NFL) as well as in other professional sport leagues, construct and/or move into new facilities for a number of reasons related to increased team revenues (Mason & Howard, 2008; Rosentraub, 1997). An increase in franchise revenue sources that are potentially created when moving into a new facility include luxury seating, personal seat licenses, naming rights, concessions, parking, and ticket revenues (Mason & Howard, 2008; Noll & Zimbalist, 1997; Rosentraub, 1997). There has also been another trend at new facilities which includes amenities such as sports bars, restaurants, and shopping (Fisher, 2009) that increase revenue as well as appeal.
ISBN: 9781267869852Subjects--Topical Terms:
1669318
Business Administration, Sports Management.
Effects of new stadia on consumers' consumption intentions.
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Recently, there has been a tremendous increase in the number of new facilities opening. From 2008 to 2010, there were 69 stadia and arenas in both professional and college sport that scheduled to open after new construction or renovation (Muret, 2008). Franchises in the National Football League (NFL) as well as in other professional sport leagues, construct and/or move into new facilities for a number of reasons related to increased team revenues (Mason & Howard, 2008; Rosentraub, 1997). An increase in franchise revenue sources that are potentially created when moving into a new facility include luxury seating, personal seat licenses, naming rights, concessions, parking, and ticket revenues (Mason & Howard, 2008; Noll & Zimbalist, 1997; Rosentraub, 1997). There has also been another trend at new facilities which includes amenities such as sports bars, restaurants, and shopping (Fisher, 2009) that increase revenue as well as appeal.
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Previous research on new stadia focused on attendance and the novelty affect (Coates & Humphreys, 2005; Feddersen, Maennig, & Borcherding, 2006; McEvoy, Nagel, DeSchriver, & Brown, 2005; Zygmont & Leadley, 2005). Although there are different aspects that can be researched in regards to new stadia, attendance is the most popular since it affects the revenue of a franchise a great deal. There has also been research conducted on a team's performance after moving to a new facility in the same metropolitan area, focusing on winning percentage and an increase in competitive advantage (Pollard, 2002; Quinn, Bursik, Borick, & Raethz, 2003; Watson & Krantz, 2003; Wilkinson & Pollard, 2006). The study that was conducted tested a hypothesized model to determine how new stadia effects consumers behavioral intentions.
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Data collection for the study took place from December 2011 to February 2012. The study was conducted online through fan sites for specific NFL teams that have constructed new stadia in the past five years and have played at least three complete seasons at the new stadium. Participants represented a purposive sample of individuals who were contacted using a web-based distribution method. The survey instrument was adapted from several sources to include various pertinent constructs related to facility quality, service quality, perceived value, team identification, and consumption intentions. A total of 306 completed the survey, with 263 considered acceptable for inclusion in the analysis.
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Once data collection was complete, a confirmatory factor analysis (CFA) was used to determine how the factor structure fit the data and a structural equation model was run to develop a model for fans' consumption intentions at new stadia. Next, Pearson correlations were run to determine the relationships between the variables.
520
$a
The subjects in the study were individuals who had attended home games for at least one of the teams of interest since the construction of a new football facility. The participants consisted mainly of white males with a Bachelors degree or higher and had an annual household income of over $80,000. After the CFAs were analyzed and found the subscales reliable, the structural equation analysis began. There were four trials for the structural equation conducted before the final model was found. After each analysis a modification was made to better the model. The final model of fans' consumption intentions showed a good fit with this sample of NFL fans. The results for the Pearson correlations showed various relationships between each of the latent variables, from being very strong (facility quality and perceived value) to a medium relationship (team identification and perceived value) to inconclusive (team performance and perceived value).
520
$a
In summary, a model was developed and tested on NFL fans on the effects of new stadia on consumer behavior. It appears that the model was a good fit for the sample of NFL fans. The model illustrated that there are relationships between these latent variables and fans' consumption intentions and it is important to have an understanding of these relationships. Also, there were significant relationships between each of the variables in this study. However, there is a difference in the magnitude of the relationship between how the variables are related. It is important for academics and practitioners alike to gain a better understanding of consumption intentions as they relate to new facilities, since new facilities are continuously being built throughout both college and professional sports.
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