Local Indicators of Spatial Aggregation (LISA) can be used as objectives in a multicriteria framework when highly autocorrelated areas (hot-spots) must be identified and geographically located in complex areas. To do so, a Multi-Objective Evolutionary Algorithm (MOEA) based on SPEA2 (Strength Pareto Evolutionary Algorithm v.2) has been designed to evaluate three different fitness functions (fine-grained strength, the weighted sum of objectives and fuzzy evaluation of weighted objectives) and three LISA methods. MOEA makes it possible to achieve a compromise between spatial econometric methods as it highlights areas where a specific phenomenon shows significantly high autocorrelation. The spatial distribution of financially compromised olive-tree farms in Andalusia (Spain) was selected for analysis and two fuzzy hot-spots were statistically identified and spatially located. Hot-spots can be considered to be spatial fuzzy sets where the spatial units have a membership degree that can also be calculated.

No abstract

The very nature of tourist services implies that consumers consider all available cues when making hotel bookings. Information obtained via the Internet is an especially important cue, and the findings of numerous studies highlight the importance of peer-generated information-electronic word-of-mouth (eWOM)-in consumers' decision-making processes. Along with eWOM, however, traditional marketing signals such as brand image and price still affect consumer behaviour. Thus, this study analyses the effect of eWOM (i.e. global hotel ratings) on purchase intention, considering the role of brand image. Two online scenario-based experiments designed using real information from TripAdvisor were conducted. The final sample comprised 260 participants. Variation in hotel ratings modified consumers' purchase intentions, with brand image playing a significant role in this relationship. The effect of eWOM on consumer purchase intentions was higher (lower) for hotels with a poorer (better) brand image. The results of the analysis imply that price can potentially help to prevent the negative effect of poor ratings.

No abstract

Actualmente, diferentes santuarios, templos, iglesias y festivales religiosos atraen cada año a un número creciente de personas. Uno de los tres grandes centros de peregrinación cristiana desde la época del medievo es la Catedral de Santiago de Compostela (Roma, Jerusalén y Santiago). Este artículo se centra en el análisis del Camino de Santiago. En concreto, se ha desarrollado un trabajo de campo a fin de identificar al turista-peregrino y se ha tratado de analizar su satisfacción a través de modelos econométricos. La ruta elegida y la duración del viaje, entre otros, influyen en la satisfacción de este tipo de turista. La fidelidad del turista-peregrino es otro aspecto a destacar. Como conclusiones se destacan además diferentes aspectos que permitirían atender mejor la demanda de este tipo de turismo.

Texto resumen.

No abstract

No abstract