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Affärsdatatekniker och artificiell intelligens för att förbättra effektiviteten i finanssektorn
Mid Sweden University, Faculty of Human Sciences, Department of Economics, Geography, Law and Tourism. (CER)ORCID iD: 0000-0001-5731-0489
2025 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Mid Sweden University , 2025. , p. 6
Series
Rapport / CER - Centrum för forskning om ekonomiska relationer ; 2025:3
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:miun:diva-57137ISBN: 978-91-90017-66-1 (print)OAI: oai:DiVA.org:miun-57137DiVA, id: diva2:2052277
Available from: 2026-04-11 Created: 2026-04-11 Last updated: 2026-04-24Bibliographically approved

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fulltext(2175 kB)32 downloads
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Type fulltextMimetype application/pdf

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Öhman, Peter

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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