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Big Data Analytics for Knowledge Generation in Tourism Destinations – A Case from Sweden (Peer-Reviewed Article) - Detailansicht


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Grunddaten

Titel der Arbeit (title) Big Data Analytics for Knowledge Generation in Tourism Destinations – A Case from Sweden
Titel der Zeitschrift bzw. Zeitung Journal of Destination Management & Marketing
Erscheinungsjahr 2014
Verlag (publisher) Elsevier
Seitenzahl (pages) 198–209
Band (volume) 3 (2014)
Publikationsart Peer-Reviewed Article
Inhalt
Abstract This paper presents a knowledge infrastructure which has recently been implemented as genuine novelty at the leading Swedish tourism destination, Åre. By applying a Business Intelligence approach, the Destination Management Information System Åre (DMIS-Åre) drives knowledge creation and application as a precondition for organizational learning at tourism destinations. Schianetz et al.’s (2007) concept of the ‘Learning Tourism Destination’ and the ‘Knowledge Destination Framework’ introduced by Höpken et al. (2011) build the theoretical fundament for the technical architecture of the presented Business Intelligence application.
After having introduced the development process of indicators measuring destination performance as well as customer behavior and experience, the paper highlights how DMIS-Åre can be used by tourism managers to gain new knowledge about customer-based destination processes, like “Web-Navigation”, “Booking” and “Feedback”. After a concluding discussion about the components building the prototypically implemented BI-based DMIS infrastructure, the agenda of future research is sketched. The latter comprises the application of real-time Business Intelligence to gain real-time knowledge on tourists’ on-site behavior at tourism destinations.

Zugeordnete Projekte

Wissenschaftliche Veröffentlichungen

Beteiligte Personen (intern)

Höpken, Wolfram, Professor  

Einrichtungen

Institut für Angewandte Forschung (IAF)
Masterstudiengang Wirtschaftsinformatik