Big Data and Innovation in Tourism, Travel, and Hospitality

1. Front Matter

   Pages i-xii

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2. Composite Indicators for Measuring the Online Search Interest by a Tourist Destination

   • Maria Gorete Ferreira Dinis, Carlos Manuel Martins da Costa, Osvaldo Manuel da Rocha Pacheco

   Pages 1-19

3. Developing Smart Tourism Destinations with the Internet of Things

   • Nicholas Wise, Hadi Heidari

   Pages 21-29

4. Big Data in Online Travel Agencies and Its Application Through Electronic Devices

   • Josep Ma Espinet

   Pages 31-55

5. Big Data for Measuring the Impact of Tourism Economic Development Programmes: A Process and Quality Criteria Framework for Using Big Data

   • Marianna Sigala, Andrew Beer, Laura Hodgson, Allan O’Connor

   Pages 57-73

6. Research on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies

   • Daniela Ferreira

   Pages 75-85

7. Sentiment Analysis for Tourism

   • Mike Thelwall

   Pages 87-104

8. Location-Based Social Network Data for Tourism Destinations

   • Konstantinos Vassakis, Emmanuel Petrakis, Ioannis Kopanakis, John Makridis, George Mastorakis

   Pages 105-114

9. Identifying Innovative Idea Proposals with Topic Models—A Case Study from SPA Tourism

   • Gabriele Sottocornola, Fabio Stella, Panagiotis Symeonidis, Markus Zanker, Ines Krajger, Rita Faullant et al.

   Pages 115-133

10. Customer Data and Crisis Monitoring in Flanders and Brussels

    • Steven Valcke

    Pages 135-146

11. Analyzing Airbnb Customer Experience Feedback Using Text Mining

    • George Joseph, Vinu Varghese

    Pages 147-162

12. Big Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context?

    • Nikolaos Stylos, Jeremy Zwiegelaar

    Pages 163-181

13. Strengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests

    • Irene Gil-Saura, María-Eugenia Ruiz-Molina, David Servera-Francés

    Pages 183-211

14. Big Data and Its Supporting Elements: Implications for Tourism and Hospitality Marketing

    • Mine Inanc–Demir, Metin Kozak

    Pages 213-223

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.

• Big Data
• Data Analytics
• Tourism Research
• Business Innovation
• Smart Tourism
• Co-creation
• Open Innovation
• Co-production
• Crowdsourcing
• Geo-fencing
• Search Marketing
• Customer Relationship Marketing
• Market Segmentation
• Marketing Mix Optimisation
• Internet of Things
• Market Research
• Netnography
• Sentiment Analysis
• Text Analysis
• User-generated Content

“This book, ‘Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques, and Applications’ constitutes valuable reading for academic researchers, educators, students, and professionals who are interested in data analytics and its possibility for innovation. … If you are interested in AI, machine learning, deep learning, and smartness, it is more necessary to read this book as fundamental knowledge. I hope you can benefit from this book as much as I have.” (Hsuan Hsu, Information Technology & Tourism, Vol. 24 (2), 2022)

• School of Management, University of South Australia, Adelaide, Australia

  Marianna Sigala

• Business School, University of Wolverhampton, Wolverhampton, UK

  Roya Rahimi

• School of Mathemetics and Computing, University of Wolverhampton, Wolverhampton, UK

  Mike Thelwall

Marianna Sigala is Professor in Tourism at the University of South Australia Business School, Adelaide, Australia. She is a widely published authority in the area of service operations management and information and communication technology (ICT) applications in tourism and hospitality. She also has an interest in e-learning models and pedagogies.

Roya Rahimi is Reader in Marketing and Leisure Management at the University of Wolverhampton. Her research interests are in CRM, organisational culture, human resource management, gender equality, and tourism higher education.

Mike Thelwall is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton. He is also Docent in the Department of Information Studies at Åbo Akademi University, and a research associate at the Oxford Internet Institute. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. He has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs, and the web in general.  

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