04101nam 22005295 450 991035021010332120200706033824.0981-13-6339-010.1007/978-981-13-6339-9(CKB)4100000008525828(DE-He213)978-981-13-6339-9(MiAaPQ)EBC5720223(PPN)235002828(EXLCZ)99410000000852582820190226d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierBig Data and Innovation in Tourism, Travel, and Hospitality Managerial Approaches, Techniques, and Applications /edited by Marianna Sigala, Roya Rahimi, Mike Thelwall1st ed. 2019.Singapore :Springer Singapore :Imprint: Springer,2019.1 online resource (XII, 223 p. 43 illus., 32 illus. in color.) 981-13-6338-2 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.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.Big dataTourismManagementBig Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Tourism Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/527050Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Big data.Tourism.Management.Big Data/Analytics.Tourism Management.Big Data.658.4038Sigala Mariannaedthttp://id.loc.gov/vocabulary/relators/edtRahimi Royaedthttp://id.loc.gov/vocabulary/relators/edtThelwall Mikeedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910350210103321Big Data and Innovation in Tourism, Travel, and Hospitality1934722UNINA