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

Martin Krzywdzinski and Florian Butollo

management revue - Socio-Economic Studies, 2022, vol. 33, issue 2, 161-184

Abstract: The 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nomos-elibrary.de/10.5771/0935-9915-2022-2-161 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nms:mamere:10.5771/0935-9915-2022-2-161

Ordering information: This journal article can be ordered from
Nomos Verlagsgesellschaft mbH & Co. KG, Waldseestraße 3-5, 76530 Baden-Baden, Germany
https://www.nomos-sh ... w.aspx?product=29288

DOI: 10.5771/0935-9915-2022-2-161

Access Statistics for this article

management revue - Socio-Economic Studies is currently edited by Simon Fietze, Wenzel Matiaske, Ina Aust, Matthias Baum, Susanne Gretzinger, Sylvia Rohlfer and Florian Schramm

More articles in management revue - Socio-Economic Studies from Nomos Verlagsgesellschaft mbH & Co. KG
Bibliographic data for series maintained by Nomos Verlagsgesellschaft mbH & Co. KG ().