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Framework for indicatorbased, sociotechnical project risk monitoring
Citation Link: https://doi.org/10.15480/882.3968
Publikationstyp
Conference Paper
Date Issued
2021-12-01
Sprache
English
Author(s)
Herausgeber*innen
TORE-DOI
First published in
Number in series
31
Start Page
185
End Page
218
Citation
Hamburg International Conference of Logistics (HICL) 31: 185-218 (2021)
Contribution to Conference
Publisher
epubli
Peer Reviewed
true
Purpose: Many Industry 4.0 projects fail because impending sociotechnical risks are managed insufficiently. An indicator-based, sociotechnical risk monitoring can help to overcome this challenge. However, its effectiveness depends significantly on selecting appropriate risk indicators. This paper outlines a framework that helps decision-makers with the necessary structuring, allowing for subsequent indicator definition.
Methodology: Indicators must be embedded in specific contexts to be meaningful. The design of indicator-based monitoring systems, therefore, first requires an appropriate framework. For this purpose, specific requirements related to digitization projects are derived from both literature and practitioners' needs.
Findings: Risks in the context of Industry 4.0 projects are systemic risks. For efficient monitoring, new approaches are needed that can manage this high complexity. Systems theory is found suitable to develop a new framework for indicator-based, sociotechnical project risk monitoring. The framework considers the characteristics of projects and enterprises as complex, open, and sociotechnical systems.
Originality: Especially in complex projects like those of Industry 4.0, situational risk awareness can contribute crucially to project success. However, achieving this awareness always requires tailored approaches addressing the unique project characteristics. To help solve this challenge for digitization projects, the proposed framework sets both a science-based and practitioner-relevant foundation for subsequent derivation of sociotechnical risk indicators.
Methodology: Indicators must be embedded in specific contexts to be meaningful. The design of indicator-based monitoring systems, therefore, first requires an appropriate framework. For this purpose, specific requirements related to digitization projects are derived from both literature and practitioners' needs.
Findings: Risks in the context of Industry 4.0 projects are systemic risks. For efficient monitoring, new approaches are needed that can manage this high complexity. Systems theory is found suitable to develop a new framework for indicator-based, sociotechnical project risk monitoring. The framework considers the characteristics of projects and enterprises as complex, open, and sociotechnical systems.
Originality: Especially in complex projects like those of Industry 4.0, situational risk awareness can contribute crucially to project success. However, achieving this awareness always requires tailored approaches addressing the unique project characteristics. To help solve this challenge for digitization projects, the proposed framework sets both a science-based and practitioner-relevant foundation for subsequent derivation of sociotechnical risk indicators.
Subjects
Advanced Manufacturing
Industry 4.0
DDC Class
300: Sozialwissenschaften, Soziologie
330: Wirtschaft
670: Industrielle Fertigung
Publication version
publishedVersion
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Gauß et al. (2021) - Framework for indicatorbased, sociotechnical project risk monitoring.pdf
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