Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis
This study focuses on the influence of the quality of services received by thalassotherapy customers on their global satisfaction and the relationship between this and the word of mouth. This study uses a hybrid SEM—classification tree analysis. The empirical findings reveal a significant relationsh...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/4329396 |
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| author | Agustín J. Sánchez-Medina Ylenia I. Naranjo-Barrera Jesús B. Alonso Julio Francisco Rufo Torres |
| author_facet | Agustín J. Sánchez-Medina Ylenia I. Naranjo-Barrera Jesús B. Alonso Julio Francisco Rufo Torres |
| author_sort | Agustín J. Sánchez-Medina |
| collection | DOAJ |
| description | This study focuses on the influence of the quality of services received by thalassotherapy customers on their global satisfaction and the relationship between this and the word of mouth. This study uses a hybrid SEM—classification tree analysis. The empirical findings reveal a significant relationship between the quality of each offered service and global satisfaction. This study contributes to identify tourist’s satisfaction or delight on received thalasso services through a proposed methodology. The main contribution of this work consists of the proposal of a methodology to identify objectively through the opinion of tourists if they were satisfied or had reached delight. This work demonstrates, confirming what has been found in previous literature, that global satisfaction is related to the different experiences provided by the service. Thus, all hypotheses are accepted, supporting the hypotheses that relate the pool, the staff, the treatments, and the environment to satisfaction. In addition, the hypotheses that link satisfaction with the word of mouth are also supported. This theoretical implication has important practical implications for managers of the type of facilities such as those studied in this paper, since it shows that it is not enough to do well in one of the services provided if the environment or the interaction with the staff is not right. |
| format | Article |
| id | doaj-art-05ef5da1f753477ebf71703873204b4d |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-05ef5da1f753477ebf71703873204b4d2025-08-20T02:03:42ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/43293964329396Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence AnalysisAgustín J. Sánchez-Medina0Ylenia I. Naranjo-Barrera1Jesús B. Alonso2Julio Francisco Rufo Torres3Instituto Universitario de Ciencias y Tecnologías Cibernéticas (IUCTC), University of Las Palmas de Gran Canaria, Despacho C-2.21, Ed. de Económicas y Empresariales, Campus de Tafira, 35017 Las Palmas de Gran Canaria, SpainInstituto Universitario de Ciencias y Tecnologías Cibernéticas (IUCTC), University of Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas de Gran Canaria, SpainInstituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), University of Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas de Gran Canaria, SpainInstituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), University of Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas de Gran Canaria, SpainThis study focuses on the influence of the quality of services received by thalassotherapy customers on their global satisfaction and the relationship between this and the word of mouth. This study uses a hybrid SEM—classification tree analysis. The empirical findings reveal a significant relationship between the quality of each offered service and global satisfaction. This study contributes to identify tourist’s satisfaction or delight on received thalasso services through a proposed methodology. The main contribution of this work consists of the proposal of a methodology to identify objectively through the opinion of tourists if they were satisfied or had reached delight. This work demonstrates, confirming what has been found in previous literature, that global satisfaction is related to the different experiences provided by the service. Thus, all hypotheses are accepted, supporting the hypotheses that relate the pool, the staff, the treatments, and the environment to satisfaction. In addition, the hypotheses that link satisfaction with the word of mouth are also supported. This theoretical implication has important practical implications for managers of the type of facilities such as those studied in this paper, since it shows that it is not enough to do well in one of the services provided if the environment or the interaction with the staff is not right.http://dx.doi.org/10.1155/2018/4329396 |
| spellingShingle | Agustín J. Sánchez-Medina Ylenia I. Naranjo-Barrera Jesús B. Alonso Julio Francisco Rufo Torres Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis Complexity |
| title | Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis |
| title_full | Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis |
| title_fullStr | Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis |
| title_full_unstemmed | Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis |
| title_short | Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis |
| title_sort | predicting thalasso tourist delight a hybrid sem artificial intelligence analysis |
| url | http://dx.doi.org/10.1155/2018/4329396 |
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