Patterns of tourists' emotional responses, satisfaction, and intention to recommend
Sameer Hosany and
Girish Prayag
Journal of Business Research, 2013, vol. 66, issue 6, 730-737
Abstract:
Previous efforts to understand and predict behavior traditionally categorize tourists into sub-groups using socio-demographic and psychographic variables. Surprisingly, the tourism literature does not profile tourists by the intensity of their emotional associations toward destinations. To address the literature gap, this paper empirically identifies distinguishable patterns of tourist emotional responses and investigates relationships between tourists' emotional profiles and their post-consumption evaluations of satisfaction and intention to recommend. Cluster analysis uncovers five distinct emotional response patterns among tourists: delighted, unemotionals, negatives, mixed, and passionate. Multiple discriminant analysis confirms the validity of the five-cluster solution. The five tourist groups differ by their satisfaction level and propensity to recommend destinations. These findings offer important implications for destination marketers designing segmentation and branding strategies.
Keywords: Tourist typologies; Emotional experiences; Satisfaction; Intention to recommend; Segmentation (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296311003201
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:jbrese:v:66:y:2013:i:6:p:730-737
DOI: 10.1016/j.jbusres.2011.09.011
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().