Tourists' emotional solidarity with residents: A segmentation analysis and its links to destination image and loyalty

Article

Stylidis, D., Woosnam, K. and Ivkov, M. 2020. Tourists' emotional solidarity with residents: A segmentation analysis and its links to destination image and loyalty. Journal of Destination Marketing and Management. 17. https://doi.org/10.1016/j.jdmm.2020.100458
TypeArticle
TitleTourists' emotional solidarity with residents: A segmentation analysis and its links to destination image and loyalty
AuthorsStylidis, D., Woosnam, K. and Ivkov, M.
Abstract

It is nearly impossible to consider a destination without also acknowledging its people and the relationships visitors have with such residents. Extant research on emotional solidarity has treated visitors as a homogenous group, failing to identify differences in the way people develop solidarity and perceive a destination. This study addresses this gap by clustering tourists based on their emotional solidarity with residents; and identifying whether tourist subgroups share different perceptions of the destination and levels of loyalty. Analysis was based on a sample of 400 Serbian visitors who had visited Greece. Three groups were identified with different levels of emotional solidarity, termed Appreciator, Lover, and Emotionally Distant. All groups exhibited dissimilar cognitive and affective images and diverse levels of loyalty.

KeywordsEmotional solidarity; Destination image; Segmentation analysis; Loyalty; Greece
PublisherElsevier
JournalJournal of Destination Marketing and Management
ISSN2212-571X
Electronic2212-5752
Publication dates
Online15 Jul 2020
Print30 Sep 2020
Publication process dates
Deposited09 Jul 2020
Submitted08 Jan 2020
Accepted05 Jul 2020
Output statusPublished
Accepted author manuscript
License
File Access Level
Open
Copyright Statement

© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

Digital Object Identifier (DOI)https://doi.org/10.1016/j.jdmm.2020.100458
Web of Science identifierWOS:000567893300004
LanguageEnglish
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