Big data and Innovation in tourism, travel, and hospitality : managerial approaches, techniques, and applications

著者

    • Sigala, Marianna
    • Rahimi, Roya
    • Thelwall, Mike

書誌事項

Big data and Innovation in tourism, travel, and hospitality : managerial approaches, techniques, and applications

Marianna Sigala, Roya Rahimi, Mike Thelwall editors

Springer, c2019

大学図書館所蔵 件 / 7

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注記

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

Chapter 1. Big Data: the Oil of the New Tourism Economy.- Chapter 2. Composite Indicators for Measuring the Online Search Interest by a Tourist Destination.- Chapter 3. Developing Smart Tourism Destinations with the Internet of Things.- Chapter 4. Big Data in Online Travel Agencies and its Application Through Electronic Devices.- Chapter 5. Big Data for Measuring the Impact of Tourism Economic Development Programme: a Process and Quality Criteria Framework for Using Big Data.- Chapter 6. Research on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies.- Chapter 7. Sentiment Analysis for Tourism.- Chapter 8. Location-Based Social Network Data for Tourism Destinations.- Chapter 9. Identifying Innovative Idea Proposals with Topic Models - A Case Study from SPA Tourism.- Chapter 10. Customer Data and Crisis Monitoring in Flanders and Brussels.- Chapter 11. Analyzing Airbnb Customer Experience Feedback Using Text Mining.- Chapter 12. Big Data as a Game Changer: How does it Shape Business Intelligence within a Tourism and Hospitality Industry Context?.- Chapter 13. Strengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests.- Chapter 14. Big Data and its Supporting Elements: Implications for Tourism and Hospitality Marketing.

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