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Identification of sociotechnical changes caused by Industry 4.0

: Schnasse, Felix; Menzefricke, Jörn Steffen; Gabriel, Stefan; Hobscheidt, Daniela; Parlings, Matthias; Kühn, Arno; Dumitrescu, Roman

Volltext ()

Kersten, W. ; TU Hamburg-Harburg; TU Hamburg-Harburg, Institut für Logistik und Unternehmensführung:
Data science and innovation in supply chain management : How data transforms the value chain
Berlin: epubli, 2020 (Proceedings of the Hamburg International Conference of Logistics (HICL) 29)
ISBN: 978-3-753123-46-2
Hamburg International Conference of Logistics (HICL) <2020, Online>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IML ()
industry 4.0; Digitalization; Innovation; supply chain management; artificial intelligence

Purpose: Industry 4.0 provides significant potentials for companies. Despite the promising opportunities, companies, especially SME, are still hesitant to implement new technologies. The main reasons are far-reaching changes with respect to the socio-technical dimensions causing risks that are difficult to assess. This research pro-vides a methodology to identify these socio-technical changes for Industry 4.0 use cases.
Methodology: Based on the three Design Science Research Cycles, a procedure and the corresponding methods for identifying socio-technical changes and risks during the introduction of Industry 4.0 will be designed.
Findings: The developed tool enables the derivation of use-case specific changes and risks in the socio-technical dimensions of human, technology and organization. These interactions have to be considered when introducing Industry 4.0 use cases in order to ensure a promising usage. In addition, the need for further research in the field of socio-technical risk management is identified.
Originality: Classical approaches do not address socio-technical interdependencies during the implementation of Industry 4.0 solutions. To bridge this gap, this methodological approach combines risk management and the concept of socio-technical system design.