Big Data and Innovation in Tourism, Travel, and Hospitality

Managerial Approaches, Techniques, and Applications

  • Marianna Sigala
  • Roya Rahimi
  • Mike Thelwall

Table of contents

  1. Front Matter
    Pages i-xii
  2. Maria Gorete Ferreira Dinis, Carlos Manuel Martins da Costa, Osvaldo Manuel da Rocha Pacheco
    Pages 1-19
  3. Mike Thelwall
    Pages 87-104
  4. Konstantinos Vassakis, Emmanuel Petrakis, Ioannis Kopanakis, John Makridis, George Mastorakis
    Pages 105-114
  5. Gabriele Sottocornola, Fabio Stella, Panagiotis Symeonidis, Markus Zanker, Ines Krajger, Rita Faullant et al.
    Pages 115-133
  6. George Joseph, Vinu Varghese
    Pages 147-162

About this book


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

Editors and affiliations

  • Marianna Sigala
    • 1
  • Roya Rahimi
    • 2
  • Mike Thelwall
    • 3
  1. 1.School of ManagementUniversity of South AustraliaAdelaideAustralia
  2. 2.Business SchoolUniversity of WolverhamptonWolverhamptonUK
  3. 3.School of Mathemetics and ComputingUniversity of WolverhamptonWolverhamptonUK

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