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
Putting AI into context - Method support for the introduction of Artificial Intelligence into organizations
Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. University of Rostock, Germany.ORCID-id: 0000-0002-7431-8412
2019 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Artificial Intelligence (AI) is a technology area creating high expectations in many enterprises when it comes to potential benefits for improving business, automating tasks or facilitating new kinds of services. However, the organizational take-up of "hyped technologies", such as AI, is accompanied by the danger that expectations regarding the benefits of the technology are not realistic which can result in failed innovation projects. This paper investigates expectations of two groups of enterprises from different application domains towards the organizational AI use. The results of the study indicate that often the technology is put into the focus rather than the organizational context which leads to neglecting requirements regarding process integration or data availability. As a consequence, the paper proposes a method component adding to enterprise architecture management, which describes how the organizational context of AI can be determined as support for AI requirements analysis and feasibility studies. The method component is demonstrated in a project aiming at introducing AI into instant payment transactions.

sted, utgiver, år, opplag, sider
IEEE, 2019.
Serie
IEEE Conference onCommerce and Enterprise Computing, CEC, ISSN 2378-1963, E-ISSN 2378-1971
Emneord [en]
artificial intelligence, enterprise modeling, method engineering, instant payment, AI context
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-45704DOI: 10.1109/CBI.2019.00025Scopus ID: 2-s2.0-85072012281ISBN: 978-1-7281-0650-2 (digital)ISBN: 978-1-7281-0651-9 (tryckt)OAI: oai:DiVA.org:hj-45704DiVA, id: diva2:1346041
Konferanse
2019 IEEE 21st Conference on Business Informatics (CBI), Moscow, Russia, 15-17 July 2019
Tilgjengelig fra: 2019-08-27 Laget: 2019-08-27 Sist oppdatert: 2019-09-18bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Sandkuhl, Kurt

Søk i DiVA

Av forfatter/redaktør
Sandkuhl, Kurt
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 42 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