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 Fashion & Music by
Cover of the book The Geopolitics of Intervention by
Cover of the book Multi-axis Substructure Testing System for Hybrid Simulation by
Cover of the book Perspectives on Economic Development and Policy in India by
Cover of the book Notes on the Ellipsoidal Function by
Cover of the book Private International Law in China by
Cover of the book Studying Babies and Toddlers by
Cover of the book BioInformation Processing by
Cover of the book Microbial Bioprospecting for Sustainable Development by
Cover of the book Signal Processing Approaches to Secure Physical Layer Communications in Multi-Antenna Wireless Systems by
Cover of the book Communications, Signal Processing, and Systems by
Cover of the book Inequality, Poverty and Development in India by
Cover of the book Emergency Response Decision Support System by
Cover of the book Brain-Inspired Intelligence and Visual Perception by
Cover of the book Electromigration Modeling at Circuit Layout Level 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