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A mixed-method study for the identification of the factors affecting the performance of a tourist destination

A mixed-method study for the identification of the factors affecting the performance of a tourist destination

Pagliara, Francesca, Aria, Massimo, Brancati, Giusy, Moradpour, Alireza and Morrison, Alastair ORCID logoORCID: https://orcid.org/0000-0002-0754-1083 (2025) A mixed-method study for the identification of the factors affecting the performance of a tourist destination. Journal of Destination Marketing and Management (JDMM), 37:101018. ISSN 2212-571X (Print), 2212-5752 (Online) (doi:10.1016/j.jdmm.2025.101018)

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Abstract

The objective of this explanatory mixed method study was to examine the factors contributing to make a destination perform successfully. The quantitative phase was represented by a survey of 624 tourists, conducted in the Italian city of Naples. Structural Equation Modeling (SEM) was employed to determine a prioritization of attributes. The qualitative phase involved an analysis of user-generated content (81 reviews) from Tripadvisor and the Leximancer program was used for this purpose. The results confirmed many of the findings of the SEM, including the importance of appearance, aligned with several of the 13As attributes identified, and supported the managerial recommendations. Assessing the success of tourism destinations is essential for policymakers, destination managers, researchers, and companies. The main findings of the study show practical benefits for destinations and individuals in charge of tourism planning, development, and marketing as they provide explicit metrics for assessing performance.

Item Type: Article
Uncontrolled Keywords: destination performance evaluation, 13As model, structural equation modeling (SEM), content analysis, Leximancer, performance improvement
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group: Greenwich Business School
Greenwich Business School > Networks and Urban Systems Centre (NUSC)
Greenwich Business School > School of Business, Operations and Strategy
Last Modified: 30 Oct 2025 11:39
URI: https://gala.gre.ac.uk/id/eprint/51336

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