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Business intelligence for cross-process knowledge extraction at tourism destinations
Höpken, Wolfram
University of Applied Sciences Ravensburg-Weingarten.
Fuchs, Matthias
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.
(Etour)
ORCID iD:
0000-0003-3964-2716
Keil, Dimitri
University of Applied Sciences Ravensburg-Weingarten.
Lexhagen, Maria
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, p. 101-130
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2015. Vol. 15, no 2, p. 101-130
Keywords [en]
business intelligence; tourism
National Category
Other Social Sciences not elsewhere specified
Identifiers
URN:
urn:nbn:se:miun:diva-25799
DOI:
10.1007/s40558-015-0023-2
ISI:
000428928800001
Scopus ID:
2-s2.0-84938302219
Local ID: ETOUR
OAI: oai:DiVA.org:miun-25799
DiVA, id:
diva2:849218
Available from:
2015-08-27
Created:
2015-08-27
Last updated:
2025-09-25
Bibliographically approved
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1409 downloads
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Fuchs, Matthias
Lexhagen, Maria
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ieee
modern-language-association-8th-edition
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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