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Advancing smart tourism through anal...
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H., Sandhya.
Advancing smart tourism through analytics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advancing smart tourism through analyticsBindi Varghese, Sandhya H., editors.
作者:
Varghese, Bindi.
其他作者:
H., Sandhya.
出版者:
Hershey, Pennsylvania :IGI Global,2025.
面頁冊數:
1 online resource (xxii, 548 p.) :ill.
標題:
TourismData processing.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3715-8
ISBN:
9798369337165$q(ebook)
Advancing smart tourism through analytics
Varghese, Bindi.
Advancing smart tourism through analytics
[electronic resource] /Bindi Varghese, Sandhya H., editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxii, 548 p.) :ill. - Advances in hospitality, tourism, and the services industry (AHTSI) book series. - Advances in hospitality, tourism, and the services industry (AHTSI) book series..
Includes bibliographical references and index.
Preface -- Chapter 1. Advancing Smart Tourism Through Analytics: Artificial Intelligence in Tourism -- Chapter 2. AI and Co-Creation for Innovation in Tourism Business Settings -- Chapter 3. Artificial Intelligence in Tourism -- Chapter 4. Artificial Intelligence-Based Sustainable Tourism Planning: A Conceptual Model Proposal -- Chapter 5. Chatbot: Customer Security and Data Privacy in the Travel, Tourism, and Hospitality Industry -- Chapter 6. Cross Domain Big Data Analytics in Smart Tourism: An Australian Perspective -- Chapter 7. Digital Cartography Transforming Travel Decision-Making With VGI -- Chapter 8. Enhancing Journeys in the Digital Age of Tourism Through the Implementation of Smart Tourism Framework -- Chapter 9. Enhancing Tea Tourism Experiences by Utilizing Smart Tourism Analytics -- Chapter 10. Evaluating Bibliometric Studies on Smart Tourism: A Crucial Analysis in a Rapidly Evolving Field -- Chapter 11. From Tourism Systems To Smart Inclusive Tourism Ecosystems -- Chapter 12. Immersive Whale Odyssey: A 360' Underwater VR Adventure for Eco-Tourism -- Chapter 13. Influence of Artificial Intelligence in Aviation Management -- Chapter 14. Integrating Artificial Intelligence for Smart Destination Management in the UAE: Opportunities, Challenges, and Impacts -- Chapter 15. Leveraging Data Analytics and AI for Smart Tourism Management -- Chapter 16. Online Tourism Destination Image by User-Generated Content: A Systematic Literature Approach -- Chapter 17. Revolutionizing Hospitality: Leveraging Mobile Apps and Cutting-Edge Room Technologies in the Hotel Industry -- Chapter 18. Smart City Projects Influencing Smart Tourist Destinations -- Chapter 19. Smart Tourism: An Analytical Journey Through Bibliometric Insights -- Chapter 20. Smart Tourism Eco Space: Praxis Policies and Governance -- Chapter 21. Study on the Influence of Job Satisfaction on Employee Retention in the Hospitality Industry: A Detailed Study of Chandigarh's Star Hotels -- Chapter 22. Temporal Analysis of Tourism Arrivals: A Multi-Country Time Series Approach -- Chapter 23. The Dynamic Nexus of Artificial Intelligence and the Co-Creation ofSmart Cities Innovations: The Brazilian Ranking -- Chapter 24. The Implications of Artificial Intelligence in Travel, Tourism, and Hospitality -- Chapter 25. Towards Sustainable Tourism, Smart Destination Management, and E-Banking Integration in Indian Cities -- Compilation of References -- About the Contributors -- Index.
"The tourism industry is rapidly evolving, driven by technological advancements and the increasing demand for personalized, immersive experiences. However, many businesses need help to effectively harness the power of data analyticsand artificial intelligence (AI) to meet these evolving demands. The need for more understanding and expertise in utilizing AI-driven data analytics poses a significant challenge for professionals in the tourism sector, hindering their ability to drive operational efficiency and enhance decision-making. Advancing Smart Tourism Through Analytics provides a revolutionary solution to this pressing challenge. By offering a comprehensive guide that bridges the gap between data analytics, smart tourism, and AI, this book empowers scholars, practitioners, and researchers to unlock the full potential of AI in the tourism industry. With a focus on theoretical foundations and practical implementations, this book equips readers with the skills and knowledge to effectively integrate AI-driven data analytics into their business strategies."--
Mode of access: World Wide Web.
ISBN: 9798369337165$q(ebook)Subjects--Topical Terms:
220950
Tourism
--Data processing.Subjects--Index Terms:
AI and Sustainability.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: G155.A1 / V37 2025eb
Dewey Class. No.: 338.47910285
Advancing smart tourism through analytics
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Advances in hospitality, tourism, and the services industry (AHTSI) book series
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Preface -- Chapter 1. Advancing Smart Tourism Through Analytics: Artificial Intelligence in Tourism -- Chapter 2. AI and Co-Creation for Innovation in Tourism Business Settings -- Chapter 3. Artificial Intelligence in Tourism -- Chapter 4. Artificial Intelligence-Based Sustainable Tourism Planning: A Conceptual Model Proposal -- Chapter 5. Chatbot: Customer Security and Data Privacy in the Travel, Tourism, and Hospitality Industry -- Chapter 6. Cross Domain Big Data Analytics in Smart Tourism: An Australian Perspective -- Chapter 7. Digital Cartography Transforming Travel Decision-Making With VGI -- Chapter 8. Enhancing Journeys in the Digital Age of Tourism Through the Implementation of Smart Tourism Framework -- Chapter 9. Enhancing Tea Tourism Experiences by Utilizing Smart Tourism Analytics -- Chapter 10. Evaluating Bibliometric Studies on Smart Tourism: A Crucial Analysis in a Rapidly Evolving Field -- Chapter 11. From Tourism Systems To Smart Inclusive Tourism Ecosystems -- Chapter 12. Immersive Whale Odyssey: A 360' Underwater VR Adventure for Eco-Tourism -- Chapter 13. Influence of Artificial Intelligence in Aviation Management -- Chapter 14. Integrating Artificial Intelligence for Smart Destination Management in the UAE: Opportunities, Challenges, and Impacts -- Chapter 15. Leveraging Data Analytics and AI for Smart Tourism Management -- Chapter 16. Online Tourism Destination Image by User-Generated Content: A Systematic Literature Approach -- Chapter 17. Revolutionizing Hospitality: Leveraging Mobile Apps and Cutting-Edge Room Technologies in the Hotel Industry -- Chapter 18. Smart City Projects Influencing Smart Tourist Destinations -- Chapter 19. Smart Tourism: An Analytical Journey Through Bibliometric Insights -- Chapter 20. Smart Tourism Eco Space: Praxis Policies and Governance -- Chapter 21. Study on the Influence of Job Satisfaction on Employee Retention in the Hospitality Industry: A Detailed Study of Chandigarh's Star Hotels -- Chapter 22. Temporal Analysis of Tourism Arrivals: A Multi-Country Time Series Approach -- Chapter 23. The Dynamic Nexus of Artificial Intelligence and the Co-Creation ofSmart Cities Innovations: The Brazilian Ranking -- Chapter 24. The Implications of Artificial Intelligence in Travel, Tourism, and Hospitality -- Chapter 25. Towards Sustainable Tourism, Smart Destination Management, and E-Banking Integration in Indian Cities -- Compilation of References -- About the Contributors -- Index.
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"The tourism industry is rapidly evolving, driven by technological advancements and the increasing demand for personalized, immersive experiences. However, many businesses need help to effectively harness the power of data analyticsand artificial intelligence (AI) to meet these evolving demands. The need for more understanding and expertise in utilizing AI-driven data analytics poses a significant challenge for professionals in the tourism sector, hindering their ability to drive operational efficiency and enhance decision-making. Advancing Smart Tourism Through Analytics provides a revolutionary solution to this pressing challenge. By offering a comprehensive guide that bridges the gap between data analytics, smart tourism, and AI, this book empowers scholars, practitioners, and researchers to unlock the full potential of AI in the tourism industry. With a focus on theoretical foundations and practical implementations, this book equips readers with the skills and knowledge to effectively integrate AI-driven data analytics into their business strategies."--
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