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URI permanente para esta colecciónhttps://hdl.handle.net/20.500.12640/4067
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Ítem Acceso Abierto Market segmentation in urban tourism: a study in Latin America(PLOS, 2023-05-18) Carvache-Franco, Mauricio; Regalado-Pezúa, Otto; Sirkis, Gabriela; Carvache-Franco, Orly; Carvache-Franco, WilmerThis study aims to analyze the different segments of urban tourism demand. The data were collected in Mexico City, Lima, Buenos Aires, and Bogota, and a K-means clustering method was used to find the segments. The results showed three segments: the first cluster grouped tourists interested in enjoying lodging and restaurant services; the second included visitors seeking multiple attractions, who were the most willing to recommend the destinations; finally, the third was composed of passive tourists, not drawn to the attractions of these cities. This study contributes to the literature by offering evidence of urban tourism segmentation in Latin American cities, which has been scarcely researched. Furthermore, it sheds light on this topic by finding a segment not previously described in the literature ("multiple attractions"). Finally, this study offers practical implications for managers of tourism companies to plan and improve the competitiveness of destinations based on the different segments found.Ítem Acceso Abierto Urban turism perception and recommendation in Mexico City and Lima(MDPI, 2022-11-11) Regalado-Pezúa, Otto; Sirkis, Gabriela; Carvache-Franco, Orly; Carvache-Franco, Mauricio; Carvache-Franco, WilmerMexico City and Lima both have great cultural and historical value as they developed close to major pre-Columbian civilizations. When comparing their urban attractiveness factors, they present differences and similarities that need to be understood at a theoretical level. The study has practical implications as tourism officials and managers in each of these two cities can draw inspiration from the best practices of the other city. The method is quantitative, and the exploratory factorial analysis technique was used to reduce the variables in a group of factors. The results indicate that the different aspects of the cities’ tourism attractiveness can be categorized into four factors: the nucleus, the tourist ecosystem, MICE & shows, and related services. A comparison of the two cities’ Kruskal–Wallis test scores shows significant differences in terms of three variables: monuments and historic sites, museums and art galleries, and shops and commercial services.
