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Information and Communication Technologies in Tourism 2019

Overview of attention for book
Cover of 'Information and Communication Technologies in Tourism 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Clustering Users’ POIs Visit Trajectories for Next-POI Recommendation
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    Chapter 2 Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks
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    Chapter 3 Utilising Crowd Information of Tourist Spots in an Interactive Tour Recommender System
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    Chapter 4 Decision Making Based on Bimodal Rating Summary Statistics - An Eye-Tracking Study of Hotels
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    Chapter 5 Is the Sharing Economy for All? An Answer Based on Neighbourhoods, Types of Hosts, and User Complaints
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    Chapter 6 Drivers of Emotions in Airbnb-Reviews
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    Chapter 7 UK Residents’ Opinions of Peer-to-Peer Accommodation Impact on Quality of Life
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    Chapter 8 An Analysis of Regional Developments of Airbnb in Switzerland: Insights into Growth Patterns of a P2P Platform
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    Chapter 9 The Effects of Virtual Reality on Destination Image Formation
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    Chapter 10 Comparing Tablet and Virtual Reality Glasses for Watching Nature Tourism Videos
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    Chapter 11 “I Want to Go There Too!” Evaluating Social Media Influencer Marketing Effectiveness: A Case Study of Hokkaido’s DMO
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    Chapter 12 The Impact of Visual Social Media on the Projected Image of a Destination: The Case of Mexico City on Instagram
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    Chapter 13 A Framework for Destination Image Analytics
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    Chapter 14 Identification of Competing Destination Brand: The Case of Okinawa Island
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    Chapter 15 Exploring a Travel Diary that Promotes Wellbeing – Synergy Between Oral and Visual Narratives of Memorable and Meaningful Experiences
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    Chapter 16 Co-creating “Mindful” Holiday Resort Experience for Guests’ Digital Well-Being
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    Chapter 17 Blended Tourism Experiencescape: A Conceptualisation of Live-Streaming Tourism
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    Chapter 18 Understanding Self-service Technology in Hotels in China: Technology Affordances and Constraints
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    Chapter 19 Perceived Appropriateness and Intention to Use Service Robots in Tourism
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    Chapter 20 What Should Robots Do? A Comparative Analysis of Industry Professionals, Educators and Tourists
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    Chapter 21 Insights into Advanced Dynamic Pricing Systems at Hotel Booking Platforms
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    Chapter 22 Privacy Protection in Tourism: Where We Are and Where We Should Be Heading For
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    Chapter 23 An e-Tourism Adoption Model & Its Implications for Tourism Industry in Nepal
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    Chapter 24 Trust in Tourism via Blockchain Technology: Results from a Systematic Review
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    Chapter 25 What’s Vs. How’s in Online Hotel Reviews: Comparing Information Value of Content and Writing Style with Machine Learning
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    Chapter 26 An Exploratory Analysis of Travel-Related WeChat Mini Program Usage: Affordance Theory Perspective
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    Chapter 27 Do Hotels Talk on Facebook About Themselves or About Their Destinations?
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    Chapter 28 Perceived Impacts of Artificial Intelligence and Responses to Positive Behaviour Change Intervention
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    Chapter 29 Towards a Measurement Scale for Digital Social Innovation: A Responsibility-Sustainability Framework
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    Chapter 30 Double Gender Gap in Tourism High-Technology Organisations: Results and Corporate Actions
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    Chapter 31 Citizen Engagement and Entrepreneurship: Implications for Sustainable Tourism Development
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    Chapter 32 Understanding Key Motivations for Using a Hotel Gamified Application
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    Chapter 33 Antecedents and Outcomes of Smartphone Usage Among Indian Millennial Travellers
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    Chapter 34 Motivations, Mobility and Work Practices; The Conceptual Realities of Digital Nomads
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    Chapter 35 Influence of Offline Activities and Customer Value Creation on Online Travel Community Continuance Usage Intention
Attention for Chapter 22: Privacy Protection in Tourism: Where We Are and Where We Should Be Heading For
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Chapter title
Privacy Protection in Tourism: Where We Are and Where We Should Be Heading For
Chapter number 22
Book title
Information and Communication Technologies in Tourism 2019
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-05940-8_22
Book ISBNs
978-3-03-005939-2, 978-3-03-005940-8

Iis Tussyadiah, Shujun Li, Graham Miller

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Student > Master 3 15%
Student > Bachelor 2 10%
Lecturer 1 5%
Professor 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Computer Science 4 20%
Social Sciences 3 15%
Business, Management and Accounting 2 10%
Decision Sciences 1 5%
Arts and Humanities 1 5%
Other 2 10%
Unknown 7 35%