This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.

This book explores the latest developments in the field of smart tourism, focusing in particular on the important cultural and sustainability synergies that have emerged during the digital era. The aim is to elucidate how ICTs can promote innovation and creativity in the tourism and leisure sector in ways that take into account cultural and social responsibilities, foster sustainable tourism management, and enhance cultural tourism, cultural heritage, and sustainable development. The book is based on the proceedings of the Fifth International Conference of the International Association of Cultural and Digital Tourism (IACuDiT), attended by academics and industry practitioners from cultural, heritage, communication, and innovational tourism backgrounds, and is edited in collaboration with IACuDiT. It will have broad appeal to professionals from academia, industry, government, and other organizations who wish to learn about novel perspectives in the fields of tourism, travel, hospitality, culture and heritage, leisure, and sports within the context of a knowledge society and smart economy in which sustainability is becoming ever more important.

This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.

Drawing upon empirical research and critical literature review, Smart Tourism Destination Governance: Technology and Design-Based Approach provides a comprehensive overview and analysis of smart tourism destination governance and its related challenges. Building on the author’s extensive research background in tourism destinations and information technologies, the book provides a quantitative approach to the phenomenon, using cluster and network analysis. It uses design thinking to provide solutions on how to overcome the challenges faced within the context of tourism destination governance, with a detailed discussion of the contribution of the smart approach to overcoming such challenges. The book is presented in three parts as follows: Part 1: The Need for a New Form of Tourism Destination Governance Part 2: The Contribution of Smart Approach to Overcoming the Challenges of Tourism Destination Governance Part 3: Designing Smart Tourism Destination Governance Towards Sustainability, Competitiveness and Resilience This work will be of great interest to both tourism scholars and decision-makers within the field of tourism, aiming to provide a detailed overview of and broaden the reader’s horizons in regards to the possibilities of the smart approach to tourism destination governance.

This book explores the latest developments in the field of smart tourism, focusing in particular on the important cultural and sustainability synergies that have emerged during the digital era. The aim is to elucidate how ICTs can promote innovation and creativity in the tourism and leisure sector in ways that take into account cultural and social responsibilities, foster sustainable tourism management, and enhance cultural tourism, cultural heritage, and sustainable development. The book is based on the proceedings of the Fifth International Conference of the International Association of Cultural and Digital Tourism (IACuDiT), attended by academics and industry practitioners from cultural, heritage, communication, and innovational tourism backgrounds, and is edited in collaboration with IACuDiT. It will have broad appeal to professionals from academia, industry, government, and other organizations who wish to learn about novel perspectives in the fields of tourism, travel, hospitality, culture and heritage, leisure, and sports within the context of a knowledge society and smart economy in which sustainability is becoming ever more important.

The papers presented in this volume advance the state-of-the-art research on big data and analytics, social media, electronic marketing, mobile computing and recommender systems, mobile sensors and geosocial services, augmented reality, wearable computing, smart tourism, electronic distribution for tourism and hospitality products and services, e-learning, responsive web design and management, and eTourism for development. This book covers the most significant areas contributed by prominent scholars from around the world and is suitable for both academics and practitioners who are interested in the latest developments in e-Tourism.

To introduce the concepts of Big data Analytics for business intelligence and predictive modeling for SMART tourism product design in the Indian tourism industry. Quantitative literature survey of the contemporary research topics and application of technologies in SMART tourism analytics. To apply the Big Data analytics and Business Intelligence concepts in the Indian tourism industry and discuss the related case studies covering various subtopics of exclusive destination branding and Market intelligence for knowledge discovery. To evolve Big Data strategy for the specific tourism product design and respective data extraction, transformation, and loading data in the Business Intelligence and data mining tools. To create attractive dashboards for SMART tourism application using storyboarding and Human-Computer Interaction techniques. Visualization techniques for descriptive data analytics and business insights. Intelligent Decision support system for Tourism destination choice.

This open access book presents the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 29th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2022 conference, which will be held on January 11–14, 2022. The book provides an extensive overview of how information and communication technologies can be used to develop tourism and hospitality. It covers the latest research on various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics, and recommendation systems. The readers will gain insights and ideas on how information and communication technologies can be used in tourism and hospitality. Academics working in the eTourism field, as well as students and practitioners, will find up-to-date information on the status of research.

This book examines the cutting-edge concept of gamification in tourism. It provides a theoretical foundation for tourism gamification and discusses the concepts of gaming and gamification and their application in the tourism and hospitality industry. The chapters offer valuable insights by showcasing examples of best practice from different countries and addressing key issues of game mechanism and game design principles. They focus on areas such as game design elements, game player types and their motivation, location-based games, augmented reality and virtual reality games. The volume will be useful for students and researchers in tourism marketing, digital tourism, smart tourism and tourism futures. It also serves as a helpful tool for tourism industry practitioners looking to increase customer engagement, enhance loyalty and raise brand awareness.

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau