e-Destination Structure: a Network Analysis Approach
Joana Miguéns and
Adriana Corfu ()
Additional contact information
Joana Miguéns: Economics and Industrial Engineering University of Aveiro
Adriana Corfu: Economics and Industrial Engineering University of Aveiro
A chapter in Information and Communication Technologies in Tourism 2008, 2008, pp 580-591 from Springer
Abstract:
Abstract This study analyses the connectivity of tourism attractions in a destination as a unique product marketed online. An online search is empirically performed to characterize the city of Lisbon as an e-destination. This study presents a quantitative methodology to study e-destination using network analyses. Methods applied reveal that information about tourism attractions is very heterogeneously distributed on different online sources. The way tourism attractions are connected show that highly connected attractions connect the less connected ones. This property is known as disassortative mixing, and is typical of technological and biological networks. This study suggests a need for an online strategy based on the integration of tourism attractions and entertainment, directly influencing tourist to receive more information and their propensity to stay longer in the destination.
Keywords: Network Analysis; e-destination; Social Networks (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
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:978-3-211-77280-5_51
Ordering information: This item can be ordered from
http://www.springer.com/9783211772805
DOI: 10.1007/978-3-211-77280-5_51
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 ().