Analytics in Smart Tourism Design Concepts and Methods /

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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Xiang, Zheng (Επιμελητής έκδοσης), Fesenmaier, Daniel R. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Tourism on the Verge,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03467nam a22005055i 4500
001 978-3-319-44263-1
003 DE-He213
005 20161012134823.0
007 cr nn 008mamaa
008 161012s2017 gw | s |||| 0|eng d
020 |a 9783319442631  |9 978-3-319-44263-1 
024 7 |a 10.1007/978-3-319-44263-1  |2 doi 
040 |d GrThAP 
050 4 |a G149-180 
072 7 |a KNS  |2 bicssc 
072 7 |a BUS081000  |2 bisacsh 
082 0 4 |a 338.4791  |2 23 
245 1 0 |a Analytics in Smart Tourism Design  |h [electronic resource] :  |b Concepts and Methods /  |c edited by Zheng Xiang, Daniel R. Fesenmaier. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XVI, 307 p. 58 illus., 40 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Tourism on the Verge,  |x 2366-2611 
505 0 |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. . 
520 |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. 
650 0 |a Business. 
650 0 |a Internet marketing. 
650 0 |a Big data. 
650 0 |a Tourism. 
650 0 |a Management. 
650 1 4 |a Business and Management. 
650 2 4 |a Tourism Management. 
650 2 4 |a Big Data/Analytics. 
650 2 4 |a Online Marketing/Social Media. 
700 1 |a Xiang, Zheng.  |e editor. 
700 1 |a Fesenmaier, Daniel R.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319442624 
830 0 |a Tourism on the Verge,  |x 2366-2611 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-44263-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-BUM 
950 |a Business and Management (Springer-41169)