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© 2019

Big Data and Innovation in Tourism, Travel, and Hospitality

Managerial Approaches, Techniques, and Applications

  • Marianna Sigala
  • Roya Rahimi
  • Mike Thelwall
Book

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

Introduction

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.

Keywords

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

About the editors

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.  



Bibliographic information

  • Book Title Big Data and Innovation in Tourism, Travel, and Hospitality
  • Book Subtitle Managerial Approaches, Techniques, and Applications
  • Editors Marianna Sigala
    Roya Rahimi
    Mike Thelwall
  • DOI https://doi.org/10.1007/978-981-13-6339-9
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management Business and Management (R0)
  • Hardcover ISBN 978-981-13-6338-2
  • Softcover ISBN 978-981-13-6341-2
  • eBook ISBN 978-981-13-6339-9
  • Edition Number 1
  • Number of Pages XII, 223
  • Number of Illustrations 11 b/w illustrations, 32 illustrations in colour
  • Topics Big Data/Analytics
    Tourism Management
    Big Data
  • Buy this book on publisher's site
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