The purpose of this paper is to analyse the determinants of tourist intentions to revisit a destination, paying special attention to the effects of satisfaction and the number of previous visits. In order to guarantee an incentive to improve the product, satisfaction must be the main determinant. A second objective is to analyse the contribution that satisfaction with different aspects of a destination makes on overall satisfaction.
A structural equation model (SEM) has been estimated. Some of the variables involved in the model are ordinal. Thus, tetrachoric, polychoric and polyserial correlations were calculated and then used as the input for structural equation modelling.
Both satisfaction and the number of previous visits have a positive effect on intention to return. However, the main determinant is satisfaction. Satisfaction with different aspects of the destination has a differing effect on overall satisfaction. Attributes associated with the basic sun and sand tourist product are the main determinants of overall satisfaction.
To promote repeat visits, it is crucial to identify the determinants of the intention to return. The factors that influence this variable can be improved in order to increase the likelihood of repeat visits.
Methods to estimate SEM with categorical variables have not been applied before to the field of tourism. In comparison with previous studies of repeat visitation, the main contribution of the model is that it simultaneously takes into consideration two causal links with the number of previous visits, the first affecting overall satisfaction and the second having a direct effect on a tourist's intention to return.
Alegre, J. and Cladera, M. (2009), "Analysing the effect of satisfaction and previous visits on tourist intentions to return", European Journal of Marketing, Vol. 43 No. 5/6, pp. 670-685. https://doi.org/10.1108/03090560910946990Download as .RIS
Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited