Destination Image Perception of Shenzhen: An Analysis of Discourse Based on Chinese and Western Visitors' Online Reviews

Keywords

Chinese and Western tourists; Multidimensional discourse analysis; Shenzhen; Tourism destination image

Abstract

Purpose: This study aims to analyze Chinese and Western visitors' on‐line reviews of Shenzhen under five dimensions: catering, accommodation, transportation, travel and shopping.

Design/methodology/approach: This study used a multidimensional discourse analysis to assess visitors' experience, perception and emotional evaluations of Shenzhen in reviews on TripAdvisor.com.

Findings: The findings suggest that both Chinese and Western visitors show positive perceptions of Shenzhen's transportation convenience and options and show great interest in folk culture. Both groups focus on shopping, service and price but believe that the prices in Shenzhen are high.

Research limitations/implications: The classification of reviews highlights tourism elements in Shenzhen, which can offer implications for destination image formation for similar destinations.

Practical implications: This study offers suggestions on how to build an appealing destination that meets both Chinese and Western tourists' needs.

Social implications: This study enriches the theory of tourism image perception of Shenzhen as it relates to language and culture.

Originality/value: This study offers implications on building an appealing destination that meets Chinese and Western tourists' expectations.

Publication Date

10-2022

Original Citation

Luo, J., Okumus, F., & Taheri, B. (2022). Destination image perception of Shenzhen: an analysis of discourse based on Chinese and Western visitors’ online reviews. Journal of Hospitality & Tourism Technology, 13(4), 667–682. https://doi.org/10.1108/JHTT-08-2020-0188

Document Type

Paper

Language

English

Source Title

Journal of Hospitality and Tourism Technology

Volume

13

Issue

4

College

Rosen College of Hospitality Management

Location

Rosen College of Hospitality Management

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