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Business intelligence for cross-process knowledge extraction at tourism destinations
University of Applied Sciences Ravensburg-Weingarten.
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0003-3964-2716
University of Applied Sciences Ravensburg-Weingarten.
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0002-6610-9303
2015 (English)In: Information Technology & Tourism, ISSN 1098-3058, E-ISSN 1943-4294, Vol. 15, no 2, 101-130 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2015. Vol. 15, no 2, 101-130 p.
Keyword [en]
business intelligence; tourism
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Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:miun:diva-25799DOI: 10.1007/s40558-015-0023-2Scopus ID: 2-s2.0-84938302219Local ID: ETOUROAI: oai:DiVA.org:miun-25799DiVA: diva2:849218
Available from: 2015-08-27 Created: 2015-08-27 Last updated: 2016-11-21Bibliographically approved

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Fuchs, MatthiasLexhagen, Maria
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CiteExportLink to record
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