RELATIONSHIP BETWEEN HOSPITALITY AND TOURISM: A MINING IN DATA BANKS WITH TOURISM DEMAND EVALUATION
Tourism. Hospitality. Perception. Data-mining. CNA.
The present thesis aims to analyze the relation of the hospitality perceived on the composition of the evaluation tourist experience. Studies and scientific publications that try to consolidate the bases of the influence of the hospitality in the evaluation of the tourist do not come to agreement. Hospitality as a perennial variable and with constant theoretical and empirical measurement contrasts with the non-consolidation of an isolated dimension. It appears as a transversal between specific factors (such as "experience quality", "tourist attraction" and "environment"), grouping factors (such as "affective", "cognitive" and "conative"), type of variable (such as "Receptivity", "friendly residents" and "local service") and by nature of the object of study (as measurable or abstract). Faced with the theoretical clashes and empirical use of the hospitality / tourism relationship, it is possible consider this as an axiom to be unveiled. It deals with theoretical tourism icons (Fuster, Jafari, Hall, Bishop and Beni), hospitality (Selwyn, Lashley, Camargo and Castelli) and social exchange theory (Simmel, Mauss, Weber, Homans and Blau), base prevalent psychosociology that supports the perception studies of tourists and residents. The proposed research route follows in the mining of the databases of tourist demand surveys, coming from official tourist institutions, expressive and legitimate big-data contingent. The method of analysis is CNA, in combination of the software UCINET and SPPS. The research will look for the forms, centrality and significant correlations of the hospitality variables in the composition of the evaluation network of the tourist experience.