EconPapers    
Economics at your fingertips  
 

Towards a Better Understanding of the Cognitive Destination Image of Euskadi-Basque Country Based on the Analysis of UGC

Ainhoa Serna (), Jon Kepa Gerrikagoitia () and Aurkene Alzua ()
Additional contact information
Ainhoa Serna: Mondragon Unibertsitatea
Jon Kepa Gerrikagoitia: CICtourGUNE
Aurkene Alzua: CICtourGUNE

A chapter in Information and Communication Technologies in Tourism 2014, 2013, pp 395-407 from Springer

Abstract: Abstract The user-generated content (UGC) and web 2.0 have allowed substantial changes in the dynamics of the travel and tourism sector. Tourism marketing is conditioned by the importance of the Internet as a channel for promotion and marketing. Thus, UGC and social networks become a valuable source to achieve a proper management of the cognitive image that a visitor can have on a destination. Despite the great importance of the destination image there is not a universally accepted and validated model. The presented research work aims to contribute in the knowledge and understanding of the cognitive destination image of the Basque Country through the UGC. The present work aims to validate an image model of reference by means of digital content. The final goal is to produce the method, which enables to relate the perceived image by visitors with the projected image by marketing strategies driven by the DMO.

Keywords: Destination image; Image model; Content analysis; Natural language processing; Text mining; Online experiences; Social media analysis (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-03973-2_29

Ordering information: This item can be ordered from
http://www.springer.com/9783319039732

DOI: 10.1007/978-3-319-03973-2_29

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-319-03973-2_29