1,756
Views
40
CrossRef citations to date
0
Altmetric
Articles

Host residents' perception changes on major sport events

, , &
Pages 511-536 | Received 29 Aug 2011, Accepted 08 Aug 2013, Published online: 04 Nov 2013
 

Abstract

Local residents' perceptions of mega-event impacts vary pre-, during- and post-event, and among community subgroups. With the segmentation of host residents' attitudes and perceptions poorly understood, this study identified distinct sub-segments of host residents based on perceptions of the Kaohsiung 2009 World Games impacts. It found similarities and differences amongst sub-segments based on demographic variables and event-related behaviours. Data were analysed by exploratory factor analysis (EFA), confirmatory factor analysis (CFA), two-step clustering analysis, MANOVA and discriminant analysis. Twenty-three impact items divided into four factors, generated subgroups of ‘neutral’, ‘moderately positive’, and ‘positive’ (pre-Games), and ‘neutral’ and ‘moderately positive’ (post-Games). MANOVA suggested differences pre- and post-Games between subgroups for the four impact factors. Pre- and post-Games subgroups showed significant differences in the educational level, adaptation to the event, level of support, level of interest in the event and attendance. We conclude by suggesting that the identification of demographic composition and event-related behaviours in stakeholder clusters would aid effective event management strategies.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 389.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.