Skip navigation

Social representations and resident attitudes: A multiple-mixed-method approach

Social representations and resident attitudes: A multiple-mixed-method approach

Wassler, Philipp, Nguyen, Thi Hong Hai ORCID logoORCID: https://orcid.org/0000-0003-1826-4904, Mai, Le Quyen and Schuckert, Markus (2019) Social representations and resident attitudes: A multiple-mixed-method approach. Annals of Tourism Research, 78:102740. ISSN 0160-7383 (doi:10.1016/j.annals.2019.06.007)

[thumbnail of Author Accepted Manuscript]
Preview
PDF (Author Accepted Manuscript)
25000 NGUYEN_Social_Representations_and_Resident_Attitudes_2019.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (655kB) | Preview

Abstract

Resident attitudes towards tourism are well researched, but related approaches vary. Social Representations (SR), a set of ideas, values, knowledge and explanations forming the social reality of a community, are one of the most misunderstood concepts in regard. This study demonstrates a practical way to identify, characterize and understand SR through a proposed multiple-mixed-method approach, taking the case of Vietnamese residents' attitude towards Chinese inbound tourism in Vietnam. Cluster analysis, member-checking interviews and expert interviews are combined for this purpose. Findings show that attitude clusters within the study population are heavily intertwined with relevant SR of tourism from China. The method offered permits a contextual understanding of SR, providing a better comprehension of historical and socio-political factors for resident studies. It is thus hoped that the proposed method opens the door for a better understanding of the social psychology of residents, but also of other stakeholders and groups of interest.

Item Type: Article
Uncontrolled Keywords: Social representations; Resident attitudes; Vietnam; Multiple-mixed-method; Chinese outbound tourism
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
Faculty / School / Research Centre / Research Group: Faculty of Business
Faculty of Business > Department of Marketing, Events & Tourism
Last Modified: 02 Jul 2021 01:38
URI: http://gala.gre.ac.uk/id/eprint/25000

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics