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Big Data and Innovation in Tourism, Travel, and Hospitality

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Cover of 'Big Data and Innovation in Tourism, Travel, and Hospitality'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Composite Indicators for Measuring the Online Search Interest by a Tourist Destination
  3. Altmetric Badge
    Chapter 2 Developing Smart Tourism Destinations with the Internet of Things
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    Chapter 3 Big Data in Online Travel Agencies and Its Application Through Electronic Devices
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    Chapter 4 Big Data for Measuring the Impact of Tourism Economic Development Programmes: A Process and Quality Criteria Framework for Using Big Data
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    Chapter 5 Research on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies
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    Chapter 6 Sentiment Analysis for Tourism
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    Chapter 7 Location-Based Social Network Data for Tourism Destinations
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    Chapter 8 Identifying Innovative Idea Proposals with Topic Models—A Case Study from SPA Tourism
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    Chapter 9 Customer Data and Crisis Monitoring in Flanders and Brussels
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    Chapter 10 Analyzing Airbnb Customer Experience Feedback Using Text Mining
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    Chapter 11 Big Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context?
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    Chapter 12 Strengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests
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    Chapter 13 Big Data and Its Supporting Elements: Implications for Tourism and Hospitality Marketing
Attention for Chapter 2: Developing Smart Tourism Destinations with the Internet of Things
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Chapter title
Developing Smart Tourism Destinations with the Internet of Things
Chapter number 2
Book title
Big Data and Innovation in Tourism, Travel, and Hospitality
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-13-6339-9_2
Book ISBNs
978-9-81-136338-2, 978-9-81-136339-9
Authors

Nicholas Wise, Hadi Heidari, Wise, Nicholas, Heidari, Hadi

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 10%
Lecturer 9 7%
Student > Ph. D. Student 9 7%
Researcher 7 6%
Professor 6 5%
Other 26 21%
Unknown 53 43%
Readers by discipline Count As %
Business, Management and Accounting 19 16%
Computer Science 14 11%
Social Sciences 9 7%
Engineering 6 5%
Economics, Econometrics and Finance 3 2%
Other 12 10%
Unknown 59 48%