Festival quality, self-connection, and bragging
Martin Gannon,
Babak Taheri and
Hossein Olya
Annals of Tourism Research, 2019, vol. 76, issue C, 239-252
Abstract:
Festivals provide opportunities for experiential consumption, attracting both first-time and repeat visitors. However, current understanding of the perceptual and behavioural differences between these groups remains incomplete. This study investigates how experiential purchase quality influences experience self-connection and braggart word-of-mouth, for both first-time and repeat visitors, using a mixed-method approach. The qualitative (n = 32) and quantitative (n = 909) results together reveal that the combinations of experiential purchase quality dimensions stimulating experience self-connection and braggart word-of-mouth in repeat visitors differ significantly from those for first-time visitors, emphasising the need for festival managers to pay close attention to how different visitor groups perceive and prioritise experiential purchase quality dimensions. The findings thus extend current understanding of how braggart word-of-mouth emerges in an experiential consumption context.
Keywords: Experiential purchase quality; Experience self-connection; Braggart word-of-mouth; Festival tourism (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738319300635
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:anture:v:76:y:2019:i:c:p:239-252
DOI: 10.1016/j.annals.2019.04.014
Access Statistics for this article
Annals of Tourism Research is currently edited by John Tribe
More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().