Perception disparity: Analyzing the destination image of Uzbekistan among residents and non-visitors

Destination image is a crucial aspect of tourism research. Although extensively studied, recent research highlights the need to explore residents' views and non-visitors' perceptions of destinations. This study aims to address this gap by contrasting Resident Destination Image (RDI) with Tourist Destination Image (TDI) among non-visitors, using Uzbekistan as a case study. The research investigates how Uzbekistan is perceived by its residents in Samarkand and non-visitors in Germany, employing a mixed-method approach of surveys, focus group discussions, and observations. Findings reveal a significant divergence between the positive self-perception of residents and the often unclear or negative image held by non-visitors. The study underscores the influence of stereotypes on non-visitors' perceptions and the need for targeted marketing to bridge the gap between RDI and TDI to unlock the country's untapped tourism potential. The results suggest that enhancing the destination's image through informed marketing strategies can attract more international tourists and support the country's tourism development. • The study highlights the strong differences in the destination image of Uzbekistan between its residents and non-visitors. • The findings suggest the importance of a targeted marketing campaigns to address the image incongruence. • Further research should address residents' and non-visitors' destination images and their link to stereotypes.

Authors

Institutions

Publication Details

Journal
Journal of Destination Marketing & Management
Published
2024-11-11
DOI
https://doi.org/10.1016/j.jdmm.2024.100946
Citations
5
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
5.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perception disparity: Analyzing the destination image of Uzbekistan among residents and non-visitors

Tatjana Thimm, Florian J. Eitzenberger
5 citations
Journal of Destination Marketing & Management
Diverse Aspects of Tourism Research
5.66
article

Perception disparity: Analyzing the destination image of Uzbekistan among residents and non-visitors

Tatjana Thimm, Florian J. Eitzenberger
article en
5 citations

Abstract

Destination image is a crucial aspect of tourism research. Although extensively studied, recent research highlights the need to explore residents' views and non-visitors' perceptions of destinations. This study aims to address this gap by contrasting Resident Destination Image (RDI) with Tourist Destination Image (TDI) among non-visitors, using Uzbekistan as a case study. The research investigates how Uzbekistan is perceived by its residents in Samarkand and non-visitors in Germany, employing a mixed-method approach of surveys, focus group discussions, and observations. Findings reveal a significant divergence between the positive self-perception of residents and the often unclear or negative image held by non-visitors. The study underscores the influence of stereotypes on non-visitors' perceptions and the need for targeted marketing to bridge the gap between RDI and TDI to unlock the country's untapped tourism potential. The results suggest that enhancing the destination's image through informed marketing strategies can attract more international tourists and support the country's tourism development. • The study highlights the strong differences in the destination image of Uzbekistan between its residents and non-visitors. • The findings suggest the importance of a targeted marketing campaigns to address the image incongruence. • Further research should address residents' and non-visitors' destination images and their link to stereotypes.

Journal of Destination Marketing & ManagementVol. 34
University of Konstanz (DE)
Deutscher Akademischer Austauschdienst, Race and Difference Initiative, Emory University
Reduced inequalities
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
5.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.