Leveraging the industrial internet of things for business process improvement: a metamodel and patterns

Christoph Stoiber () and Stefan Schönig
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Christoph Stoiber: University of Regensburg
Stefan Schönig: University of Regensburg

Information Systems and e-Business Management, 2024, vol. 22, issue 2, No 3, 285-313

Abstract: Abstract Industrial organizations of all kinds increasingly recognize the industrial internet of thing’s (IIoT) capabilities to enable valuable business process improvement (BPI). However, both theoretically and practically, there is a lack of clarity regarding the systematic and successful identification, specification, and implementation of corresponding applications. This article aims to bridge this research gap by presenting a comprehensive metamodel encompassing all relevant aspects and elements of IIoT applications with BPI propositions. The metamodel is the foundation for deriving generic yet practical patterns that can assist organizations in effectively executing IIoT projects. To evaluate the usefulness of the approach, five initial patterns were designed and applied by a market-leading organization. The metamodel and patterns contribute to the descriptive knowledge of the IIoT and facilitate sense-making, theory-led design, and practical project execution. To ensure rigor, the research endeavor followed fundamental principles of the design science research (DSR) methodology.

Keywords: Industrial internet of things; Business process improvement; Business process management; Metamodel; Patterns (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10257-024-00676-0

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