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Identification of sociotechnical changes caused by Industry 4.0

In: Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 29

Author

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

Abstract

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 provides 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.

Suggested Citation

  • Schnasse, Felix & Menzefricke, Jörn Steffen & Gabriel, Stefan & Hobscheidt, Daniela & Parlings, Matthias & Kühn, Arno & Dumitrescu, Roman, 2020. "Identification of sociotechnical changes caused by Industry 4.0," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 625-660, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:228935
    DOI: 10.15480/882.3132
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    References listed on IDEAS

    as
    1. Ralf T. Kreutzer & Tim Neugebauer & Annette Pattloch, 2017. "Digital Business Leadership," Springer Books, Springer, number 978-3-658-11914-0, January.
    2. Wieland Appelfeller & Carsten Feldmann, 2018. "Die digitale Transformation des Unternehmens," Springer Books, Springer, number 978-3-662-54061-9, January.
    Full references (including those not matched with items on IDEAS)

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