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1.
PLoS One ; 19(5): e0303762, 2024.
Article in English | MEDLINE | ID: mdl-38753860

ABSTRACT

The present study, focused on pilgrimages as part of religious tourism, aimed to achieve the following objectives: Identify the motivations of the demand for religious tourism focused on pilgrimages; analyze the segmentation of the demand; identify the relationship between demand segments with satisfaction and loyalty; and establish the sociodemographic aspects that characterize demand segments. The study was conducted during the Pilgrimage of the Christ of Miracles in Lima, Peru. The sample was taken on-site from 384 tourists. The statistical techniques used were factor analysis and the k-means clustering method. The results reveal five motivational dimensions: Religious Experience, Belief Experience, Escape, Touristic Experience, and Shopping. Three attendee segments were also identified: Believers, related to belief experience; Religious, related to religious experience; and Passive, tourists with low motivations. The Religious segment had the highest satisfaction and loyalty levels among these groups. Sociodemographic differences were also found in the demand segments. The findings will contribute to management guidelines for destination administrators with religious events and provide insights into academic literature.


Subject(s)
Motivation , Religion , Tourism , Humans , Peru , Female , Male , Adult , Middle Aged , Young Adult
2.
PLoS One ; 18(11): e0293932, 2023.
Article in English | MEDLINE | ID: mdl-37922299

ABSTRACT

The research examines the negative consumer emotions generated by the perception of social networks or traditional media with consumer behavior during the covid_19 pandemic. The study was developed in Peru with a sample of 220 consumers; the design is quantitative and structural equations were used for data processing. The results indicate that social networks and traditional media are not related to negative emotions, but are related to the change in consumer behavior in the purchase of more products and new products. The research has theoretical implications since it provides evidence to the literature that the negative emotions generated during the covid_19 pandemic are related to changes in consumer behavior, which affect the purchase of more products and new products. The practical implications of the research is for businessmen on the causes of changes in consumer behavior generated during crises. like the COVID-19 pandemic.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Emotions , Pandemics , Peru/epidemiology , Consumer Behavior
3.
PLoS One ; 18(8): e0286923, 2023.
Article in English | MEDLINE | ID: mdl-37527247

ABSTRACT

Coastal tourism offers a wide variety of activities related to nature and culture in a sustainable environment. The present study in a coastal destination with cultural characteristics aims to (i) establish the dimensions of perceived value, (ii) determine the relationship between perceived value and satisfaction, and (iii) identify the relationship between perceived value and loyalty in variables such as return, recommendation, and word of mouth in a cultural coastal destination. This quantitative research used a sample of 384 valid questionnaires collected in Huanchaco, Peru, a city next to the Pacific Ocean, being a coastal destination with cultural potential. Factor analysis and multiple regression were applied for data analysis. The results show three dimensions of value perceived by tourists in coastal destinations: emotional and social value, economic value, and functional value. Of these, emotional and social value is the most salient predictor of tourist satisfaction and loyalty. These results will serve as management guides for cultural coastal destination managers and contribute to the academic literature.


Subject(s)
Personal Satisfaction , Travel , Peru , Tourism , Emotions
4.
PLoS One ; 18(5): e0285138, 2023.
Article in English | MEDLINE | ID: mdl-37200259

ABSTRACT

This 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.


Subject(s)
Tourism , Latin America , Cities , Mexico
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