Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company

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dc.contributor.authorKrzywdzinski, Martin
dc.contributor.authorButollo, Florian
dc.date.accessioned2023-08-30T14:18:50Z
dc.date.available2023-08-30T14:18:50Z
dc.date.issued2022
dc.description.abstractThe development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation, there is little knowledge about how companies are actually managing it. This article uses the case study of a leading mechanical engineering company to analyse how the company organised the development of new digital technologies and how it changed its organisational structures and practices. It is based on 22 interviews and an analysis of company documents. The analysis draws on ambidexterity theory, which is extended toward a dynamic process analysis. It shows that digital transformation presupposes the development of structures and practices supporting cross-functional cooperation and the creation of new skill formation approaches. It develops a model of organisational change related to the digital transformation of manufacturing companies which includes the proof-of-concept phase, the partial exploitation phase, and the organisational transformation phase.
dc.identifier.citationKrzywdzinski, M., & Butollo, F. (2022). Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company. management revue, 33(2), 161–184. https://doi.org/10.5771/0935-9915-2022-2-161
dc.identifier.doi10.5771/0935-9915-2022-2-161
dc.identifier.eissn1861-9908
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/218
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCombining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.issue2
dcterms.bibliographicCitation.journaltitlemanagement revue
dcterms.bibliographicCitation.pageend184
dcterms.bibliographicCitation.pagestart161
dcterms.bibliographicCitation.volume33
local.researchgroupArbeiten in hochautomatisierten, digital-hybriden Prozessen
local.researchtopicMensch – Arbeit – Wissen
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