Strukturbaum
| Publikation |
| Autoren des Beitrags | |||||||||||
| Titel des Beitrags | Big Data Analytics for Knowledge Generation in Tourism Destinations A Case from Sweden | ||||||||||
| Titel veröffentlicht in ... | Journal of Destination Management & Marketing | Verlag | Elsevier | ||||||||
| Erscheinungsjahr | 2014 | Seite (von - bis) | 198209 | Publikations-Art | Peer-Reviewed Article | Band/Jahrgang/Volume | 3 (2014) | ||||
| 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. |
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| Einrichtungen |
Masterstudiengang Wirtschaftsinformatik
Institut für Angewandte Forschung (IAF) |
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| Beteiligte Personen |
Höpken
, Wolfram
Prof.
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| Projekte |
Wissenschaftliche Veröffentlichungen |
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