Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques, and Applications

Author:   Marianna Sigala ,  Roya Rahimi ,  Mike Thelwall
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2019
ISBN:  

9789811363382


Pages:   223
Publication Date:   08 March 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques, and Applications


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Author:   Marianna Sigala ,  Roya Rahimi ,  Mike Thelwall
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Weight:   0.524kg
ISBN:  

9789811363382


ISBN 10:   9811363382
Pages:   223
Publication Date:   08 March 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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)


Author Information

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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