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Article

Open Access

Using MWD: A Business Intelligence System for Tourism Destination Web

Author(s)

Aurkene Alzua-Sorzabal, Jon Kepa Gerrikagoitia, Fidel Rebón

Full-Text PDF Download XML 170 Views

DOI:10.17265/2328-2185/2014.01.007

Affiliation(s)

Aurkene Alzua-Sorzabal, Ph.D., Executive Director of CICtourGUNE, Donostia-San Sebastián, Spain.
Jon Kepa Gerrikagoitia, Ph.D., Director of Tourism Systems in the Digital Age Area, CICtourGUNE, Donostia-San Sebastián, Spain.
Fidel Rebón, Ph.D. Candidate, Research of Tourism Systems in the Digital Age Area, CICtourGUNE, Donostia-San Sebastián, Spain.

ABSTRACT

The importance of Internet as mass media in the field of tourism is that it constitutes an important channel of marketing institutions and business network of the tourist destinations. But very few subsequent processes of management, maintenance, improvement, and exploitation of this appearance are deeply studied. The interactive nature of the website, as both transmitter of information and receiver, has attracted the attention of scholars since the interaction allows opening new approaches to the study of the network traffic (the pages user has visited, order them, the time that it has been in them, the actions carried out...) and cyber behavior. Information flows from the physical to the cyber world, and vice versa, adapting the converged world to human behavior and social dynamic. The business intelligence systems based on Internet enable organizations intelligent actions to address time-sensitive business processes and benefit from analytics. As result provides the opportunity to anticipate and estimate visitor habits in a changing environment. This paper presents the research and technological fields which have been incorporated to study of the destination web, a business intelligent tool based on Internet that it aims to increase the performance of the local manager or tour operator by providing an enhanced insight through the behavior of visitors on the website and future trends in research are expressed.

KEYWORDS

tourism destination web monitor, web mining, web analytics, business intelligence system

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