Sergio Moreno-Gil

TL;DR: In this article, the authors analyze consumer's loyalty divided among several destinations and explain the background factors that affect this behavior (cognitive, affective and overall destination image; information sources; motivations; socio-demographic characteristics; previous behaviour; conative loyalty).

TL;DR: In this article, the evaluation and analysis of destination imagematching has been carried out to make the right impression in today's very competitive market, where photographs have acquired a prominent role in doing so.

TL;DR: In this article, the authors analyzed how tourists consult more digital information and using several different information sources, which influences the time tourists are sharing at a few destinations, becoming more loyal to multiple destinations at the same time (horizontal loyalty).

TL;DR: In this paper, the relationship between the satisfaction of gay tourists and the condition of the valuable resources was studied by means of a robust statistical new method, namely Bayesian model averaging, which permits the inclusion of uncertainty in the theoretical models that determine destination competitiveness, thus reducing many of the problems that arise in the application of the more conventional statistical methods in this type of analysis.

TL;DR: In this article, the authors developed a methodology for estimating the value of destination image, which incorporates two principal advantages over the methods used to date: first, it allows tourism destination image to be assessed in economic terms, so a formal cost-benefit analysis can be executed to ascertain whether or not a specific marketing action should be implemented.