Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
AI transformation processes: understanding competencies
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0003-3133-1112
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0002-8993-4306
2022 (English)In: Proceedings for the 29th International Annual EurOMA Conference, Brilliance in resilience: operations and supply chain management’s role in achieving a sustainable future , 3-6 July 2022, Berlin, Germany, 2022Conference paper, Oral presentation with published abstract (Other academic)
Sustainable development
9. Industry, innovation and infrastructure
Abstract [en]

This paper explores how industrial organisations understand their competencies in relation to AI transformation. It does so by using data from a collaborative research project with five industrial partners. The paper complements current research on AI transformation by explicating how industrial organisations understand technical and managerial competencies related to AI. The paper proposes a new two-dimensional conceptual framework that attempts to capture the complexity industrial organisations face when trying to relate their managerial efforts to their technical ones in the AI transformation process.

Place, publisher, year, edition, pages
2022.
Keywords [en]
Artificial intelligence, Transformation processes, Competencies
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:hj:diva-66265OAI: oai:DiVA.org:hj-66265DiVA, id: diva2:1900344
Conference
International Annual EurOMA Conference, 2022
Available from: 2024-09-23 Created: 2024-09-23 Last updated: 2025-02-10

Open Access in DiVA

No full text in DiVA

Authority records

Engström, Annika

Search in DiVA

By author/editor
Edh Mirzaei, NinaEngström, Annika
By organisation
JTH, Supply Chain and Operations Management
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 58 hits
CiteExportLink to record
Permanent link

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