Multi-criteria ELECTRE method and destination competitiveness. Tourism Management 31: 572-589.īotti, Laurent y Nicolas Peypoch. Determinants of tourism success for DMOs & destinations: an empirical examination of stakeholders’ perspectives. Ponencia presentada en el Foro Económico Mundial, Davos.īornhorst, Tom, Jonathan Brent Ritchie y Lorn Sheehan. 2013.The travel & tourism competitiveness report. Tourism Management 30 (6): 878-889.īlanke, Jenniffer y Thea Chiesa. Convention industry and destination clusters: Evidence from Italy. Performance of French destinations: tourism attraction perspectives. (28 de noviembre de 2014).īarros, Carlos, Laurent Botti, Nicolas Peypoch, Elizabeth Robinot y Bernardino Solonandrasana. Journal of Travel Research 52 (1): 68-81.Īyuntamiento de Manzanillo.

Differentiating competitiveness through tourism image assessment: an application to Andalusia (Spain). This study contributes to deepening our understanding of the factors that determine tourist destinations’ competitiveness it goes beyond the use of national abstract indexes or descriptive research.Ĭarlos Mario Amaya Molinar, Universidad de ColimaĪndrades-Caldito, Lidia, Marcelino Sánchez-Rivero y Juan Pulido-Fernández. And although a convenience sampling was used now, a probabilistic one could be used in future research. This empirical study, carried out in two Mexican sun and beach destinations, suggest that the agents of risk can perceive some of those factors.

Likewise, the most recognized theoretical models and the most frequently used variables and indicators were identified. In order to achieve this goal the state of the art of the academic literature on the subject was reviewed. This study is aimed at determining whether the agents of risk, such as the resident population and the visitors, can perceive the competitiveness factors of tourist destinations. Tourist competitiveness, sustainable development, empirical studies, tourists, well-being at destinations Abstract

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