The dark side of travel: the effect of tourist harassment on destination image and destination revisit intent: a moderated mediation approach

Ahmed Hamdy, Jian Zhang, Riyad Eid

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Purpose: The authors’ examination aims to offer a quantitative perspective on the interrelationships between tourist harassment, the destination image, emotions and destination revisit intent. Furthermore, it explores the moderating role of travelers' experiences and tolerance in the link between tourist harassment, the destination image and revisit intentions. Design/methodology/approach: The authors’ examination seeks to fill this research gap by utilizing a combination of qualitative and quantitative methods to test eight hypotheses using AMOS 23 and PROCESS MARCO. Findings: The findings showed that tourist harassment negatively impacts the destination image and revisit intentions. Moreover, it indicated that tourists' experiences and tolerance moderate the link between harassment, the destination image and revisit intentions for travelers with high levels of experience and tolerance compared to those with low levels. Originality/value: This article contributes to travel research and service failure recovery research on tourist harassment and its consequences. To this end, it developed and validated a new tourist harassment scale. Moreover, it is the first study that examines the moderating role of visitors' experiences and tolerance on the link between tourist harassment, the destination image and revisit intentions. Finally, this article is the first to empirically offer destination harassment reduction techniques.

Original languageEnglish
Pages (from-to)5860-5882
Number of pages23
JournalKybernetes
Volume53
Issue number12
DOIs
Publication statusPublished - Dec 9 2024

Keywords

  • Destination image
  • Emotions
  • Revisit intentions
  • Tolerance
  • Tourist harassment
  • Travellers' experiences

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Information Systems
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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