A model of predictors of attendance at major sporting events

Hall, John, O'Mahony, Barry and Vieceli, Julian 2009, A model of predictors of attendance at major sporting events, in ANZMAC 2009 : Sustainable Management and Marketing : Australian and New Zealand Marketing Academy Conference, ANZMAC, Melbourne, Vic., pp. 1-9.

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Title A model of predictors of attendance at major sporting events
Author(s) Hall, John
O'Mahony, Barry
Vieceli, Julian
Conference name Australian and New Zealand Marketing Academy. Conference (2009 : Melbourne, Vic.)
Conference location Melbourne, Victoria
Conference dates 30 November-2 December 2009
Title of proceedings ANZMAC 2009 : Sustainable Management and Marketing : Australian and New Zealand Marketing Academy Conference
Editor(s) Tojib, Dewi
Publication date 2009
Conference series Australian and New Zealand Marketing Academy Conference
Start page 1
End page 9
Total pages 9
Publisher ANZMAC
Place of publication Melbourne, Vic.
Summary Sports events represent a major category of event revenue contributing economic benefits to cities and regions. Attendance at sports events is recognised as an important activity (Shamir and Ruskin 1984), but over the past 20 years sports event attendance expenditure has declined (Ross 2006). Consequently, understanding the factors that influence sports event attendance is crucial to the sustainability of these events. This study identifies the antecedents of sports event attendance among 460 respondents who were surveyed in Melbourne, Australia. Structural Equation Modelling was used to test an empirical model of attendance motivations. The model identifies constructs relating to emotional responses and facilities, as the predictors of event attendance.
Notes Reproduced with the specific permission of the copyright owner.
ISBN 1863081585
Language eng
Field of Research 150501 Consumer-Oriented Product or Service Development
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2009
Persistent URL http://hdl.handle.net/10536/DRO/DU:30024173

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