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 Research Outline for China’s Cultural Soft Power by
Cover of the book Recent Advances in Chemical Engineering by
Cover of the book Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems by
Cover of the book The Confucian Misgivings--Liang Shu-ming’s Narrative About Law by
Cover of the book Information Technology and Applied Mathematics by
Cover of the book Asian Immigrants in North America with HIV/AIDS by
Cover of the book Political Economy of Macao since 1999 by
Cover of the book Urban and Regional Planning Education by
Cover of the book Destined Statecraft by
Cover of the book Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy by
Cover of the book Creativity, Talent and Excellence by
Cover of the book Playable Cities by
Cover of the book Stroke Revisited: Hemorrhagic Stroke by
Cover of the book Transactions on Intelligent Welding Manufacturing by
Cover of the book Communications, Signal Processing, and Systems 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