Motivations and satisfaction of sports tourists during the FIFA world cup in Qatar 2022.

This study aimed to identify the motivations of sports tourists to attend Soccer World Cups and to determine the motivational dimensions that predict their satisfaction. The research took place in Doha, the capital of Qatar, during the FIFA World Cup in 2022, where 503 valid questionnaires were collected. Exploratory factor analysis and linear regression with the Enter method were used for data analysis. The results show four motivational dimensions: Sports Passion, Escape & Relaxation, Patriotism & Attachment, and Recreation. Additionally, a positive and significant relationship was found between the Escape & Relaxation factor and overall satisfaction. In contrast, a negative correlation was identified between the Patriotism & Attachment dimension and satisfaction. These findings will contribute to the academic literature related to the Soccer World Cups as part of sports tourism and will also assist sporting event organizers in developing marketing and management plans to benefit this tourist demand.

Modeling users' satisfaction and visit intention using AI-based chatbots.

AI-based chatbots are an emerging technology disrupting the tourism industry. Although chatbots have received increasing attention, there is little evidence of their impact on tourists' decisions to visit a destination. This study evaluates the key attributes of chatbots and their effects on user satisfaction and visit intention. We use structural equation modeling with covariance procedures to test the proposed model and its hypotheses. The results showed that informativeness, empathy, and interactivity are critical attributes for satisfaction, which drive tourists' intention to visit a destination.

Post-COVID-19 Tourists' Preferences, Attitudes and Travel Expectations: A Study in Guayaquil, Ecuador.

Expectations about a destination influence the tourist experience during the travel process stages. In the post-COVID-19 normalcy, people are adjusting their priorities and social values. Therefore, it becomes crucial to identify tourists' expectations before traveling. The objectives of this research were: (a) identify the preferences of tourists; (b) establish the attitudes of tourists; and (c) determine the expectations of tourists for post-COVID-19 destination selection. The study analyzed a sample of 491 people during pandemic lockdowns in Guayaquil, Ecuador. Statistical techniques such as exploratory and confirmatory factor analysis were used in data analysis. The results show that after the pandemic, tourists prefer urban tourism, followed by cultural tourism and traveling with relatives. It also shows a more responsible and supportive attitude when traveling. Likewise, the results support the dimensional structure that explains a set of post-pandemic tourist expectations. Five factors were identified: Smart Care, pricing strategy, safety, comfort, and social distancing. Finally, the theoretical and managerial implications of the results that will guide for tourism destination managers were discussed.