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  4. Identification of sociotechnical changes caused by Industry 4.0
 
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2020
Conference Paper
Title

Identification of sociotechnical changes caused by Industry 4.0

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 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.
Author(s)
Schnasse, Felix  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Menzefricke, Jörn Steffen
Gabriel, Stefan  orcid-logo
Hobscheidt, Daniela  
Parlings, Matthias  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Kühn, Arno  
Dumitrescu, Roman  
Mainwork
Data science and innovation in supply chain management  
Conference
Hamburg International Conference of Logistics (HICL) 2020  
DOI
10.15480/882.3132
Language
English
Fraunhofer-Institut für Materialfluss und Logistik IML  
Keyword(s)
  • industry 4.0

  • Digitalization

  • Innovation

  • supply chain management

  • artificial intelligence

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