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03907nam a22005295i 4500 |
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978-3-319-44263-1 |
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DE-He213 |
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20210619022930.0 |
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cr nn 008mamaa |
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161012s2017 gw | s |||| 0|eng d |
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|a 9783319442631
|9 978-3-319-44263-1
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|a 10.1007/978-3-319-44263-1
|2 doi
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|2 bisacsh
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|a 338.4791
|2 23
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|a Analytics in Smart Tourism Design
|h [electronic resource] :
|b Concepts and Methods /
|c edited by Zheng Xiang, Daniel R. Fesenmaier.
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| 250 |
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|a 1st ed. 2017.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XVI, 307 p. 58 illus., 40 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Tourism on the Verge,
|x 2366-2611
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| 505 |
0 |
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|a Introduction -- Part I: Travel Demand Analytics -- Part II: Analytics in Every Day Life and Travel -- Part III: Tourism Geoanalytics -- Part IV: Web and Social Media Analytics: Concepts and Methods -- Part V: Case Studies in Web and Social Media Analytics -- Closing Remarks. .
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| 520 |
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|a This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.
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| 650 |
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|a Tourism.
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| 650 |
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0 |
|a Management.
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| 650 |
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0 |
|a Big data.
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| 650 |
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0 |
|a Internet marketing.
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| 650 |
1 |
4 |
|a Tourism Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/527050
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| 650 |
2 |
4 |
|a Big Data/Analytics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/522070
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| 650 |
2 |
4 |
|a Online Marketing/Social Media.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/513010
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| 700 |
1 |
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|a Xiang, Zheng.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Fesenmaier, Daniel R.
|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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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319442624
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319442648
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| 776 |
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8 |
|i Printed edition:
|z 9783319830247
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| 830 |
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|a Tourism on the Verge,
|x 2366-2611
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-44263-1
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| 912 |
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|a ZDB-2-BUM
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| 912 |
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|a ZDB-2-SXBM
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| 950 |
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|a Business and Management (SpringerNature-41169)
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| 950 |
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|a Business and Management (R0) (SpringerNature-43719)
|
