Explaining the factors affecting tourists' loyalty to urban tourism destinations (Case study: Khoy city)

Loyalty to tourism is one of the key challenges of tourism marketing. In fact, tourist satisfaction, which is one of the necessary conditions for the success of the tourism industry; It creates long-term benefits if it paves the way for tourist loyalty. Therefore, the present study was developed with the aim of explaining the factors affecting the loyalty of tourists to urban tourism destinations using an interpretive structural model approach. In terms of results, this study is considered as a development research because it seeks to design a model of structural interpretive analysis of factors affecting the loyalty of tourists to tourism destinations. In terms of purpose, this research is part of applied research. In fact, the research approach of this study is inductive-deductive in terms of data collection logic. The statistical population was university professors and experts in the field who were selected by purposive sampling method of 20 university professors and experts in the field of research. The results of the implementation of the ISM model showed that the model includes five levels. The most effective is the fifth level. The fifth level had the most factors, which included the factors of quality of behavior of the host community, cultural values and customs, diversity of tourist attractions and quality of services. Also, the results of the implementation of the Mick Mac model showed that among the studied factors, 4 factors were in the stimulus cluster, 4 factors in the link cluster and 2 factors in the dependent cluster.Loyalty to tourism is one of the key challenges of tourism marketing. In fact, tourist satisfaction, which is one of the necessary conditions for the success of the tourism industry; It creates long-term benefits if it paves the way for tourist loyalty. Therefore, the present study was developed with the aim of explaining the factors affecting the loyalty of tourists to urban tourism destinations using an interpretive structural model approach. In terms of results, this study is considered as a development research because it seeks to design a model of structural interpretive analysis of factors affecting the loyalty of tourists to tourism destinations. In terms of purpose, this research is part of applied research. In fact, the research approach of this study is inductive-deductive in terms of data collection logic. The statistical population was university professors and experts in the field who were selected by purposive sampling method of 20 university professors and experts in the field of research. The results of the implementation of the ISM model showed that the model includes five levels. The most effective is the fifth level. The fifth level had the most factors, which included the factors of quality of behavior of the host community, cultural values and customs, diversity of tourist attractions and quality of services. Also, the results of the implementation of the Mick Mac model showed that among the studied factors, 4 factors were in the stimulus cluster, 4 factors in the link cluster and 2 factors in the dependent cluster.Loyalty to tourism is one of the key challenges of tourism marketing. In fact, tourist satisfaction, which is one of the necessary conditions for the success of the tourism industry; It creates long-term benefits if it paves the way for tourist loyalty. Therefore, the present study was developed with the aim of explaining the factors affecting the loyalty of tourists to urban tourism destinations using an interpretive structural model approach. In terms of results, this study is considered as a development research because it seeks to design a model of structural interpretive analysis of factors affecting the loyalty of tourists to tourism destinations. In terms of purpose, this research is part of applied research. In fact, the research approach of this study is inductive-deductive in terms of data collection logic. The statistical population was university professors and experts in the field who were selected by purposive sampling method of 20 university professors and experts in the field of research. The results of the implementation of the ISM model showed that the model includes five levels. The most effective is the fifth level. The fifth level had the most factors, which included the factors of quality of behavior of the host community, cultural values and customs, diversity of tourist attractions and quality of services. Also, the results of the implementation of the Mick Mac model showed that among the studied factors, 4 factors were in the stimulus cluster, 4 factors in the link cluster and 2 factors in the dependent cluster.Loyalty to tourism is one of the key challenges of tourism marketing. In fact, tourist satisfaction, which is one of the necessary conditions for the success of the tourism industry; It creates long-term benefits if it paves the way for tourist loyalty. Therefore, the present study was developed with the aim of explaining the factors affecting the loyalty of tourists to urban tourism destinations using an interpretive structural model approach. In terms of results, this study is considered as a development research because it seeks to design a model of structural interpretive analysis of factors affecting the loyalty of tourists to tourism destinations. In terms of purpose, this research is part of applied research. In fact, the research approach of this study is inductive-deductive in terms of data collection logic. The statistical population was university professors and experts in the field who were selected by purposive sampling method of 20 university professors and experts in the field of research. The results of the implementation of the ISM model showed that the model includes five levels. The most effective is the fifth level. The fifth level had the most factors, which included the factors of quality of behavior of the host community, cultural values and customs, diversity of tourist attractions and quality of services. Also, the results of the implementation of the Mick Mac model showed that among the studied factors, 4 factors were in the stimulus cluster, 4 factors in the link cluster and 2 factors in the dependent cluster.