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• W4386957863 abstract "This article explores the impact of artificial intelligence (AI) on the aviation and hospitality industries, both of which are rapidly evolving due to technological advancements. It aims to understand the increasing importance of artificial intelligence by examining the various ways in which it is used in these sectors through qualitative research. The research included an analysis of online sources such as airport and hotel websites, booking platforms, and social media accounts of travel-related businesses. This comprehensive data collection provides insight into the various applications of artificial intelligence in tourism. Thematic analysis was then used to categorise the data according to similar uses, providing a detailed understanding of the role of AI in these areas. It compares and examines artificial intelligence applications adopted by aviation and hospitality organisations, evaluating their effectiveness and differences. The study reveals the various ways in which AI is being integrated into these industries and highlights its significant contributions across various dimensions. It also highlights how AI can deliver competitive advantage, improve customer experiences, and introduce innovative paradigms to the aviation and hospitality industries. One important aspect of the research is its ability to provide a deeper understanding of emerging AI trends in these sectors and lay a strong foundation for future research. Ultimately, this study provides valuable insight to stakeholders in aviation and hospitality, equipping them with an informed perspective on leveraging AI for growth and long-term sustainability in their respective industries" @default.
• W4386957863 created "2023-09-23" @default.
• W4386957863 creator A5083976192 @default.
• W4386957863 date "2023-09-14" @default.
• W4386957863 modified "2023-10-09" @default.
• W4386957863 title "Customised Holiday Experiences through Artificial Intelligence: Case Studies from the Aviation and Hospitality Sectors" @default.
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• W4386957863 doi "https://doi.org/10.30518/jav.1351472" @default.
• W4386957863 hasPublicationYear "2023" @default.
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