4.3 Article

Who doesn't like sport? A taxonomy of non-fans

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SPORT MANAGEMENT REVIEW
卷 -, 期 -, 页码 -

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TAYLOR & FRANCIS LTD
DOI: 10.1080/14413523.2023.2233342

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Non-fans; Segmentation; Fans; Latent Class Analysis; >

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This study examines the types of self-identified non-fans of a professional sport through theory-driven and machine learning approaches. Five segments of non-fans with varying levels of consumption and passion for professional sport are identified among a nationally representative sample of 3,496 adults. The likelihood of consumption is determined by social contacts, experiences, access to the product, and is hindered by satisfying alternatives.
The motives and behaviour of sports fans are heavily researched. Past work has distinguished fans and supporters on engagement with teams or athletes and identified non-fans who have little interest in sport; the latter are rarely investigated further. Sport's ubiquity, both socially and in media, means that, unusually, disinterested people are often interacting with sport. A better understanding of non-fans could assist strategies to grow sports markets and encourage engagement. This paper describes a study, using both theory-driven and machine learning approaches, of types of self-identified non-fans of a professional sport. A nationally representative sample of 3,496 adults enabled investigation of non-fandom. Five segments of non-fans are identified, differing in terms of consumption of and passion for professional sport. There is a clear hierarchy of likelihood to consume, driven by social contacts, experiences and access to the product, and impeded by satisfying alternatives. To enable easier practical application of this work, a simplified (four question) segmentation process is also presented. This simplified process maintains a high degree of classification accuracy.

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