Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93093
PIRA download icon_1.1View/Download Full Text
Title: Tourist stereotype content : dimensions and accessibility
Authors: Chen, N 
Hsu, CHC 
Issue Date: Jul-2021
Source: Annals of tourism research, July 2021, v. 89, 103212
Abstract: Stereotyping tourists is a common practice by hosts to deal with large numbers of culturally different tourists, while research on tourist stereotypes remains limited. Two studies were conducted herein to explore and assess the content and common dimensions of stereotypes shared across tourist groups. Study 1 collected 234 responses from Hong Kong residents to an online repertory grid test. Three dimensions were extracted by a conjunction of multidimensional scaling and content analyses – Civility, Travel Behaviour, and Economic Power. Study 2 collected 97 tourist-host interaction stories from 20 Hong Kong residents. A narrative analysis not only validated the tri-dimension identified by Study 1, but also assessed each dimension's accessibility and predictability by examining residents' emotional and behavioural responses.
Keywords: Multidimensional scaling analysis
Repertory Grid Technique
Stereotype accessibility
Stereotype Content Model
Storytelling
Tourist stereotypes
Publisher: Pergamon Press
Journal: Annals of tourism research 
ISSN: 0160-7383
EISSN: 1873-7722
DOI: 10.1016/j.annals.2021.103212
Rights: © 2021 Elsevier Ltd. All rights reserved.
© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Chen, N., & Hsu, C. H. C. (2021). Tourist stereotype content: Dimensions and accessibility. Annals of Tourism Research, 89, 103212 is available at https://dx.doi.org/10.1016/j.annals.2021.103212.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Chen_Tourist_Stereotype_Content.pdfPre-Published version1.85 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

119
Last Week
0
Last month
Citations as of Nov 10, 2025

Downloads

171
Citations as of Nov 10, 2025

SCOPUSTM   
Citations

38
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

25
Citations as of Feb 6, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.