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Big Data and Innovation in Tourism, Travel, and Hospitality

Overview of attention for book
Cover of 'Big Data and Innovation in Tourism, Travel, and Hospitality'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Composite Indicators for Measuring the Online Search Interest by a Tourist Destination
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    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 11: Big Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context?
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Citations

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35 Dimensions

Readers on

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852 Mendeley
Summary Dimensions citations
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Chapter title
Big Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context?
Chapter number 11
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_11
Book ISBNs
978-9-81-136338-2, 978-9-81-136339-9
Authors

Nikolaos Stylos, Jeremy Zwiegelaar, Stylos, Nikolaos, Zwiegelaar, Jeremy

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 852 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 852 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 106 12%
Student > Master 65 8%
Student > Bachelor 64 8%
Student > Ph. D. Student 51 6%
Researcher 31 4%
Other 110 13%
Unknown 425 50%
Readers by discipline Count As %
Computer Science 184 22%
Engineering 128 15%
Business, Management and Accounting 24 3%
Unspecified 17 2%
Mathematics 11 1%
Other 60 7%
Unknown 428 50%

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