Testing a model of destination image formation: Application of Bayesian relational modelling and fsQCA

Fumiko Kano Glückstad, Mikkel N. Schmidt and Morten Mørup

Journal of Business Research, 2020, vol. 120, issue C, 351-363

Abstract: Individuals’ destination images are constantly updated through their exposure to various stimuli sent from diverse information sources11Information Sources: ISs. widely accessible in the modern society. Such dynamics of destination image formation22Dynamics of Destination Image Formation: DDIF. is better explained with the iterative process of a concept learning framework integrated into the destination image models. DDIF implies that individuals having been exposed to similar stimuli in the iterative image formation process have a higher likelihood of developing a similar mental representation33Mental Representation: MR.. Accordingly, this study employs an innovative methodological framework to extract patterns of MR of destinations held by groups of individuals (segments) and to compare segment-specific patterns of MR with their relations to willingness to visit44Willingness to Visit: W2V. and to ISs. The results demonstrate that what segments associate with a destination relates to their W2V, and segments having rich and positive associations with a destination accessed a wider range of ISs to learn about the destination.

Keywords: Destination image formation; Mental representation; Concept learning; Segmentation; fsQCA; nonparametric Bayesian relational modelling (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296319306034
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:120:y:2020:i:c:p:351-363

DOI: 10.1016/j.jbusres.2019.10.014

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 ().