
Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques, and Applications
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Science & Technology
Business & Economics
Travel
Format
Kindle
Pages
335
Language
English
Published
Jan 1, 2019
Publisher
Springer
Edition
1st ed. 2019
ISBN-10
9811363390
ISBN-13
9789811363399
Description
The combined expertise of Martin Meschede and Laurence N. Warr unfolds a comprehensive exploration of how big data is transforming the sectors of tourism, travel, and hospitality. Through a synthesis of multidisciplinary research and real-world applications, the authors highlight innovative managerial approaches that are reshaping industry practices.
Readers are invited to dive into the practical implications of big data, with insights into how data analytics can enhance customer experiences and improve operational efficiency. The book delves into various techniques that travel and hospitality managers can adopt to leverage data, ensuring that they remain competitive in an ever-evolving landscape.
With case studies and evidence from various stakeholders, this work serves as a valuable resource for professionals seeking to understand the synergy between technology and tourism. It not only outlines the challenges posed by data deluge but also offers strategies for harnessing it effectively for sustainable growth and innovation.
Readers are invited to dive into the practical implications of big data, with insights into how data analytics can enhance customer experiences and improve operational efficiency. The book delves into various techniques that travel and hospitality managers can adopt to leverage data, ensuring that they remain competitive in an ever-evolving landscape.
With case studies and evidence from various stakeholders, this work serves as a valuable resource for professionals seeking to understand the synergy between technology and tourism. It not only outlines the challenges posed by data deluge but also offers strategies for harnessing it effectively for sustainable growth and innovation.
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