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Introduction: Special Issue on Big Data & Business Intelligence in the Travel & Tourism Domain
Universtiy of Applied Sience, Weingarten-Ravensburg, Germany.
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (ETOUR)ORCID iD: 0000-0003-3964-2716
2016 (English)In: Information Technology & Tourism, ISSN 1098-3058, E-ISSN 1943-4294, Vol. 16, no 1, 1-4 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2016. Vol. 16, no 1, 1-4 p.
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:miun:diva-29249DOI: 10.1007/s40558-016-0054-3Scopus ID: 2-s2.0-84961784015Local ID: ETOUROAI: oai:DiVA.org:miun-29249DiVA: diva2:1045264
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2017-08-09Bibliographically approved

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CiteExportLink to record
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