The Role of Artificial Intelligence in the Tourism and Hospitality Sector
Routledge (Verlag)
978-1-032-89886-5 (ISBN)
The disruptive nature of AI is captured in a logically structured and accessible way, with global case studies covering the latest technological developments in AI via a wide range of detailed, ‘real-world’ examples designed to help the reader understand how this complex subject area is applied in industry. Topics covered include privacy concerns, AI in hotels, personalisation of the guest experience, travel planning, virtual assistants and recommendation systems, sustainability, blockchain, AR, VR, IoT, smart destinations and big data analytics, amongst others. Chapters also include insights on governmental policies, environmental sustainability, social change, and how these impact and interact with AI technologies within the context of tourism and hospitality.
This volume is of pivotal interest to students, scholars and academics in the fields of tourism, hospitality, business, management, human geography, social sciences and sustainability, as well as those with an interest in AI technology more generally.
Maria Jesus Jerez-Jerez is a senior lecturer and course leader in International Business at the University of Bedfordshire, UK, and a senior fellow of the Higher Education Academy. Her research interests focus on disruptive innovation in international business. Claudia Sevilla-Sevilla is a professor of Marketing at UNED in Madrid and a member of the EU Jean Monnet Chair in Digital Economy. Her research focuses on marketing, tourism, and sustainability, building on her extensive professional experience as a marketing consultant in the tourism and hospitality sector. Lidia Aguiar-Castillo is a senior researcher at the University of Las Palmas de Gran Canaria (ULPGC) with a PhD in Enterprise, Internet, and ICT (Cum Laude, with international mention). Her research focuses on ICT applications in tourism and enterprise, supported by her professional experience in computing and project management, including a postdoctoral fellowship at CVUT (Prague Technical University).
0.Introduction. Introduction: The Role of Artificial Intelligence in the Tourism and Hospitality Sector. Part I. The Foundation of the AI and Tourism and Hospitality Field. 1.Impact of Artificial Intelligence in Tourism and Hospitality. 2.The Evolution of Artificial Intelligence (AI); Investigating Connections to the Hospitality and Tourism Industry Over Time. 3.An Analysis of AI Technology-Based Service Encounters: Repercussions for Hospitality and Tourism Operations. 4.AI-driven VR and the Immersive Experience. A Companion or a Competitor for Tourism? Part II. Tourism and Hospitality Industry Transformations Driven by AI. 5.The Role of Artificial Intelligence in Hotel Operations: Revolutionising Efficiency. 6.AI and Personalisation: Tailoring the Guest Experience in the Tourism and Hospitality Sector. 7.Travel Planning with Artificial Intelligence: Virtual Assistants and Recommendation Systems. 8.The Role of Artificial Intelligence in Sustainable Tourism. Part III. Emerging Technologies and Their Applications. 9.Blockchain for Secure Transactions in Tourism and Hospitality Management. 10.Tourism Using Augmented and Virtual Reality: Phygital Tourism. 11.The Internet of Things (IoT) and Smart Destinations. 12.Big Data Analytics in Travel and Hospitality. Part IV. AI Strategy and Management. 13.Strategic Planning for AI in Tourism Businesses: AI Tourism Start-Ups. 14.Managing AI Projects: From Concept to Execution. 15.Future-Proofing: AI and Long-term Strategic Vision. 16.The Ethics of AI in Tourism and Hospitality.
| Erscheinungsdatum | 24.04.2025 |
|---|---|
| Zusatzinfo | 2 Tables, black and white; 24 Line drawings, black and white; 24 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 890 g |
| Themenwelt | Wirtschaft |
| ISBN-10 | 1-032-89886-0 / 1032898860 |
| ISBN-13 | 978-1-032-89886-5 / 9781032898865 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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