Analysing how AI-powered chatbots influence destination decisions.

This study aims to explore the role of destination chatbots as innovative tools in travel planning, focusing on their ability to enhance user experiences and influence decision-making processes. Based on the Technology Acceptance Model, Enterprise Content Management, and Information Systems Security models, the study examines the psychological, emotional, and technological factors that drive user satisfaction, continued use, and intention to visit a destination. Understanding these factors is crucial for improving chatbot design and optimizing their implementation in the tourism industry.

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.

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.

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.