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Match Experience at the Danish Women’s Soccer National A-Team Matches: An Explorative Study

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TLDR
In this article, the authors explore factors that affect the overall match experience for spectators attending Danish women's national soccer A-team games in the 2016 to 2019 period as a proxy for this.
Abstract
Women’s soccer is more popular than ever, but match attendance is still relatively low. In order to develop sustainable revenue streams for women’s football, and help it grow further, it is necessary to understand what drives spectator’s overall demand. We explore factors that affect the overall match experience for spectators (i.e., spectator satisfaction) attending Danish women’s national soccer A-team games in the 2016 to 2019 period as a proxy for this. Using survey data gathered by the Danish Football Association (DBU) consisting of 4010 individuals and 13 matches, coupled with other match-specific data, we employ multilevel regression modelling. The results at the individual level suggest that female spectators are significantly more content with the overall match experience, while several additional factors are also important at the match-specific level, such as kick-off time and the result. Furthermore, there are indications that match significance and derby matches affect overall match experience. An important implication of these results is that they can aid national and international federations and other governing bodies in promoting women’s soccer in general, and women’s national A-team soccer specifically, in order to help the sport to become more financially viable. Although numerous initiatives have been designed to increase the attractiveness of women’s soccer, these are yet to materialize into long-term effects.

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Citations
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Consumer profiles of women’s football spectators

TL;DR: In this paper, the purpose of the study was the segmentation of women's football spectators based on their hierarchical involvement, and distinct consumer profiles were derived by enriching the segments.
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Women’s football: don’t judge me, support me! evidence from young generations

TL;DR: In this paper , a survey was administered and distributed to 2,298 participants belonging to both Millennials and Generation Z cohorts and a cluster analysis was conducted to group participants based on common characteristics and views on women's football.
References
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Upper Echelons: The Organization as a Reflection of Its Top Managers

TL;DR: In this article, the authors synthesize these previously fragmented literatures around a more general "upper echelons perspective" and claim that organizational outcomes (strategic choices and performance levels) are partially predicted by managerial background characteristics.
Book

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Joop J. Hox
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Modeling Multilevel Data Structures

TL;DR: The logic and statistical theory behind multilevel models are introduced, to illustrate how such models can be applied fruitfully in political science, and to call attention to some of the pitfalls in multileVEL analysis.
Journal ArticleDOI

The Baseball Players' Labor Market

TL;DR: The structure and the rules of the market for baseball players and their services are defined in seven documents which constitute the constitutional papers of the baseball industry as discussed by the authors, including the Major League Agreement, Major League Rules, the Major-Minor League Rules and the Agreement of the National Association of Professional Baseball Leagues (the minor leagues).
Journal ArticleDOI

How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches

TL;DR: The authors compare the performance of multilevel models when few countries are available and find that maximum likelihood estimates and confidence intervals can be severely biased, especially in models including cross-level interactions, while the Bayesian approach proves to be far more robust and yields considerably more conservative tests.
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