LEADER 03870nam  22005895  450 
001 9910739410603321
005 20200705101207.0
024 7 $a10.1007/978-3-319-44263-1
035   $a(CKB)3710000000902957
035   $a(EBL)4717283
035   $a(DE-He213)978-3-319-44263-1
035   $a(MiAaPQ)EBC4717283
035   $a(PPN)222235845
035   $a(EXLCZ)993710000000902957
100   $a20161012d2017      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAnalytics in Smart Tourism Design$b[electronic resource] $eConcepts and Methods /$fedited by Zheng Xiang, Daniel R. Fesenmaier
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (309 p.)
225 1 $aTourism on the Verge,$x2366-2611
300   $aDescription based upon print version of record.
311   $a3-319-44262-7 
311   $a3-319-44263-5 
327   $aIntroduction -- 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. .
330   $aThis book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.
410  0$aTourism on the Verge,$x2366-2611
606   $aTourism
606   $aManagement
606   $aBig data
606   $aInternet marketing
606   $aTourism Management$3https://scigraph.springernature.com/ontologies/product-market-codes/527050
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aOnline Marketing/Social Media$3https://scigraph.springernature.com/ontologies/product-market-codes/513010
615  0$aTourism.
615  0$aManagement.
615  0$aBig data.
615  0$aInternet marketing.
615 14$aTourism Management.
615 24$aBig Data/Analytics.
615 24$aOnline Marketing/Social Media.
676   $a650
702   $aXiang$b Zheng$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFesenmaier$b Daniel R$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910739410603321
996   $aAnalytics in Smart Tourism Design$93552846
997   $aUNINA