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|a 9789811363399
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|a 10.1007/978-981-13-6339-9
|2 doi
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|a 658.4038
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|a Big Data and Innovation in Tourism, Travel, and Hospitality
|h [electronic resource] :
|b Managerial Approaches, Techniques, and Applications /
|c edited by Marianna Sigala, Roya Rahimi, Mike Thelwall.
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|a 1st ed. 2019.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2019.
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|a XII, 223 p. 43 illus., 32 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
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|a 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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|a 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.
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650 |
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|a Big data.
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650 |
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|a Tourism.
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|a Management.
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|a Big Data/Analytics.
|0 http://scigraph.springernature.com/things/product-market-codes/522070
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|a Tourism Management.
|0 http://scigraph.springernature.com/things/product-market-codes/527050
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|a Big Data.
|0 http://scigraph.springernature.com/things/product-market-codes/I29120
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|a Sigala, Marianna.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Rahimi, Roya.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
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|a Thelwall, Mike.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789811363382
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|i Printed edition:
|z 9789811363405
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|i Printed edition:
|z 9789811363412
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856 |
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|u https://doi.org/10.1007/978-981-13-6339-9
|z Full Text via HEAL-Link
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|a ZDB-2-BUM
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950 |
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|a Business and Management (Springer-41169)
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