Mid Sweden University

miun.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Big data analytics for knowledge generation in tourism destinations: A case from Sweden
Mittuniversitetet, Fakulteten för humanvetenskap, Avdelningen för turismvetenskap och geografi. (Etour)ORCID-id: 0000-0003-3964-2716
Univ Appl Sci Ravensburg Weingarten, Weingarten, Germany.
Mittuniversitetet, Fakulteten för humanvetenskap, Avdelningen för turismvetenskap och geografi. (Etour)ORCID-id: 0000-0002-6610-9303
2014 (engelsk)Inngår i: Journal of Destination Marketing and Management, ISSN 2212-571X, Vol. 3, nr 4, s. 198-209Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper presents a knowledge infrastructure which has recently been implemented as a genuine novelty at the leading Swedish mountain 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, Kavanagh, and Lockington’s (2007) concept of the ‘Learning Tourism Destination’ and the ‘Knowledge Destination Framework’ introduced by Höpken, Fuchs, Keil, and Lexhagen (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 behaviour and experience, the paper highlights how DMIS-Åre can be used by tourism managers to gain new knowledge about customer-based destination processes focused on pre- and post-travel phases, like “Web-Navigation”, “Booking” and “Feedback”. After a concluding discussion about the various components building the prototypically implemented BI-based DMIS infrastructure with data from destination stakeholders, the agenda of future research is sketched. The agenda considers, for instance, the application of real-time Business Intelligence to gain real-time knowledge on tourists’ on-site behaviour at tourism destinations.

sted, utgiver, år, opplag, sider
2014. Vol. 3, nr 4, s. 198-209
Emneord [en]
Big data analytics, Tourism destination, Destination management information system, Business intelligence, Data mining, Online Analytical Processing (OLAP)
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-23763DOI: 10.1016/j.jdmm.2014.08.002ISI: 000349567300002Scopus ID: 2-s2.0-84922230793Lokal ID: ETOUROAI: oai:DiVA.org:miun-23763DiVA, id: diva2:771729
Forskningsfinansiär
Knowledge Foundation, 20100260Tilgjengelig fra: 2014-12-15 Laget: 2014-12-15 Sist oppdatert: 2016-11-21bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Fuchs, MatthiasLexhagen, Maria

Søk i DiVA

Av forfatter/redaktør
Fuchs, MatthiasLexhagen, Maria
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 869 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf