Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness

Jinyan Chen, Jie Wu, Dan Wang, Bela Stantic

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

In the dynamic field of destination management, maintaining a destination's competitiveness requires understanding the evolving preferences of tourists. However, current research often adopts a static approach, failing to capture the dynamic nature of tourist needs and the evolving competitiveness of a destination. To address this, we introduce a novel approach using user-generated content from various social media platforms over a six-year period to assess key attributes that influence destination competitiveness. The results indicate that attributes in deciding destination competitiveness are not fixed, with some remaining stable factors in competitiveness, while others fluctuate over time. Attributes that even alter their competitive standing could significantly impact overall destination competitiveness. This research contributes a dynamic model that allows destination managers to adapt strategies in real time, aligning with current market conditions and enhancing competitiveness in the tourism industry.

Original languageEnglish
Article number105022
JournalTourism Management
Volume106
Early online dateAug 2024
DOIs
Publication statusPublished - Feb 2025

Keywords

  • Big data analytics
  • Destination competitiveness
  • Destination management
  • Dynamic McKinsey matrix
  • Sentiment analysis
  • Social media

ASJC Scopus subject areas

  • Development
  • Transportation
  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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