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

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

Author
Marianna Sigala, Roya Rahimi, Mike Thelwall
Publisher
Springer Singapore
Language
English
Edition
1st ed.
Year
2019
Page
XII, 223
ISBN
978-981-13-6338-2,978-981-13-6339-9
File Type
pdf
File Size
5.5 MiB

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.

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