Big Data and Innovation in Tourism, Travel, and Hospitality

Managerial Approaches, Techniques, and Applications

Business & Finance, Industries & Professions, Hospitality, Tourism & Travel, Industries
Cover of the book Big Data and Innovation in Tourism, Travel, and Hospitality by , Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789811363399
Publisher: Springer Singapore Publication: February 26, 2019
Imprint: Springer Language: English
Author:
ISBN: 9789811363399
Publisher: Springer Singapore
Publication: February 26, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book China’s Last Jesuit by
Cover of the book China’s Regional Development and Tibet by
Cover of the book Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process by
Cover of the book Large Scale Renewable Power Generation by
Cover of the book Advances in Cognitive Neurodynamics (V) by
Cover of the book Advances in Cultural Linguistics by
Cover of the book Deep Learning in Natural Language Processing by
Cover of the book A Polymer Cochlear Electrode Array: Atraumatic Deep Insertion, Tripolar Stimulation, and Long-Term Reliability by
Cover of the book Industrial Revolution 4.0, Tech Giants, and Digitized Societies by
Cover of the book Refractory Status Epilepticus by
Cover of the book Ocular Emergency by
Cover of the book Quantum Computation with Topological Codes by
Cover of the book Protein Engineering Techniques by
Cover of the book Recent Advances in Chemical Engineering by
Cover of the book Proceedings of the International Conference on Intelligent Systems and Signal Processing by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy