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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook CollectionPublisher: Singapore : Springer Singapore, 2019Description: 1 Online-Ressource (XII, 223 p. 43 illus., 32 illus. in color, online resource)ISBN:
  • 9789811363399
Subject(s): Additional physical formats: 9789811363382 | 9789811363405 | 9789811363412 | Erscheint auch als: 9789811363382 Druck-Ausgabe | Erscheint auch als: 9789811363405 Druck-Ausgabe | Erscheint auch als: 9789811363412 Druck-Ausgabe | Erscheint auch als: Big data and innovation in tourism, travel, and hospitality. Druck-Ausgabe. Singapore : Springer, 2019. xii, 223 SeitenDDC classification:
  • 658.4038
LOC classification:
  • HF5548.125-HF5548.6
DOI: DOI: 10.1007/978-981-13-6339-9Online resources: Summary: 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 innovationSummary: 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 MarketingPPN: PPN: 1067365958Package identifier: Produktsigel: ZDB-2-BUM | ZDB-2-SEB | ZDB-2-SXBM
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