Overview
- Uses the tourism sector as a context for demonstrating the practical implications and applications of big data exploitation
- Provides a process framework consolidating all the issues that firms and researchers must address for effectively implementing big data innovation
- Consolidates knowledge from various disciplines about big data exploitation for innovation in tourism
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Table of contents (13 chapters)
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
About this book
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.
Reviews
Editors and Affiliations
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
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-6338-2Published: 08 March 2019
Softcover ISBN: 978-981-13-6341-2Published: 04 April 2020
eBook ISBN: 978-981-13-6339-9Published: 26 February 2019
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