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 Virtual, Augmented, and Mixed Realities in Education by
Cover of the book Design and Control of Matrix Converters by
Cover of the book Bio-inspired Computing: Theories and Applications by
Cover of the book Subjectivity within Cultural-Historical Approach by
Cover of the book Colposcopy of Female Genital Tract by
Cover of the book Erdélyi–Kober Fractional Calculus by
Cover of the book At Home with Democracy by
Cover of the book Introduction to Dynamics by
Cover of the book Proceedings of the Second International Conference on Computational Intelligence and Informatics by
Cover of the book Electromigration Modeling at Circuit Layout Level by
Cover of the book Water Quality Management by
Cover of the book Crop Responses to Global Warming by
Cover of the book Rubber Science by
Cover of the book Pluralism and Engagement in the Discipline of International Relations by
Cover of the book The Development of Renewable Energy Sources and its Significance for the Environment 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