Big Data and Innovation in Tourism, Travel, and Hospitality Managerial Approaches, Techniques, and Applications /

Big Data and Innovation in Tourism, Travel, and Hospitality Managerial Approaches, Techniques, and Applications /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sigala, Marianna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rahimi, Roya (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Thelwall, Mike (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Big data.
Tourism.
Management.
Big Data/Analytics.
Tourism Management.
Big Data.
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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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