Fonte: Journal of Tourism & Development; Vol 41 (2023); 349-367
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Resumo: Information and Communication Technologies has revolutionized the hospitality and tourism sector. Artificial Intelligence (AI) and Machine Learning Technology (MLT) are widely popular and can be of assistance to reduce the impact of disasters by providing accurate, brief, and updated information. It also facilitates predicting and executing plans in managing crises to lessen losses. Chatbot can store the data and assist during Disaster Management and Risk Reduction. Dealing with an uncontrollable event in the tourism industry is challenging. AI-powered Chatbots support reporting emergencies and help access information for making decisions in the tourism industry. AI chatbots in disaster management improve the perceptive of all phases of disasters and are reliable for safety aspects in tourism. They may be readily available and accessible to the users and responders to handle emergencies in tourism. This conceptual study aims to explore the existing chatbots in tourism and disaster management sector. SWOC analysis is carried out to identify tourism chatbots' strengths, weaknesses, opportunities, and challenges to do further research in developing chatbots in tourism combining disaster management elements.
