Big Data and Innovation in Tourism, Travel, and Hospitality : Managerial Approaches, Techniques, and Applications / / edited by Marianna Sigala, Roya Rahimi, Mike Thelwall

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XII, 223 p. 43 illus., 32 illus. in color.)
• Disciplina: 658.4038
• Soggetto topico: Big data; Tourism; Management; Big Data/Analytics; Tourism Management; Big Data
• Persona (resp. second.): SigalaMarianna; RahimiRoya; ThelwallMike
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Big Data and Innovation in Tourism, Travel, and Hospitality
• ISBN: 981-13-6339-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910350210103321
• Lo trovi qui: Univ. Federico II