Abstract
The study of tourists’ satisfaction and loyalty is a very fruitful area of research. In this chapter we get deeper insight on the determinants of tourists’ satisfaction and loyalty behaviour, and how both variables influence each other. With this objective, we estimate two main equations employing survey data on five Spanish destinations. The models account for information on tourist profiles and holiday trip experiences. The analysis allows investigating how the relevance of explanatory factors in the models shift according to destination characteristics and the level of the overall trip satisfaction declared by tourists. In the satisfaction model main results show that all variables increasing the set of information on the destination previous to the holiday experience help to increase the trip satisfaction level of visitors. In the case of loyalty model, an interesting result points that the overall trip satisfaction plays a second-order role in driving loyalty behaviour of tourists, with key variables appear to be those of place attachment and geographical distance to the destination.
We acknowledge funding from FEMISE Research Network (Project FEM 41-04) supported by European Union (ENPI Project 2014/354-494). Dr. Andres Artal-Tur also wants to acknowledge financial support from Groups of Excellence Program of Fundación Séneca, Science and Technology Agency of the Region of Murcia, project 19884/GERM/15. We would also like to thank the student Ms. Iveta Cutakova for her valuable work along the making of this paper.
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Notes
- 1.
IET is the statutory body in charge of studies on the tourism industry in Spain (www.iet.tourspain.es). We want to acknowledge this institution for providing data for the investigation.
- 2.
Classical standardisation is applied, subtracting the mean value and dividing for the standard deviation.
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Artal-Tur, A., Sánchez-Casado, N. (2019). Exploring Tourist Satisfaction and Destination Loyalty. In: Kozak, N., Kozak, M. (eds) Tourist Destination Management. Tourism, Hospitality & Event Management. Springer, Cham. https://doi.org/10.1007/978-3-030-16981-7_5
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