Rural Tourism at «Arquitectura Negra Villages» (Guadalajara-Spain): Demand Analysis

Se plantea un estudio de demanda del turista de los Pueblos Negros y se mide su grado de satisfacción con el destino. Nos encontramos ante un exceso de oferta, un nivel general de baja calidad y ausencia de datos, no se conoce el perfil del turista que visita la zona y se han creado servicios e infraestructuras que no se ajustan a las necesidades de una demanda cada vez más exigente. Los resultados sugieren un grado de satisfacción en general elevado y proporcionan información a tener en cuenta desde la perspectiva de la política turística a desarrollar en el territorio objeto de estudio.ABSTRACT The aim of this paper is to afford a demand study to state a profile of tourists who visit these villages and to consider if they are satisfied with the destination. We find an oversupply, an overall view of low quality and there is no information about the demand relating to the area, and because of that, the services and infrastructure development don’t fit with the new demand requirements which are so exigent. The results suggest that although visitors held a high overall satisfaction of the experience, there are dimensions that require the attention of the tourist policy-makers

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

Funder: Institute of Social Sciences Ivo Pilar, Zagreb; CroatiaFunder: CONICET; DOI: https://doi.org/10.13039/501100002923Funder: National Institutes of Health; DOI: https://doi.org/10.13039/100000002Funder: Ministry of Science and Technology; DOI: https://doi.org/10.13039/100007225Funder: QUT Centre for Behavioural Economics, Society and TechnologyFunder: Sistema Nacional de Investigadores; DOI: https://doi.org/10.13039/501100013395Funder: CONACYT; DOI: https://doi.org/10.13039/501100003141Funder: NOMIS Foundation; DOI: https://doi.org/10.13039/501100008483Funder: University of Huelva; DOI: https://doi.org/10.13039/501100005604Funder: University of Vienna; DOI: https://doi.org/10.13039/501100003065Funder: Natural Sciences and Engineering Research Council of Canada; DOI: https://doi.org/10.13039/501100000038Funder: Universidad del Rosario; DOI: https://doi.org/10.13039/501100008793Funder: Batten Institute; DOI: https://doi.org/10.13039/100008596Funder: University of Virginia Darden School of Business; DOI: https://doi.org/10.13039/100008193At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic