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Stoiber, Christoph ; Schönig, Stefan

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

Stoiber, Christoph und Schönig, Stefan (2024) Leveraging the industrial internet of things for business process improvement: a metamodel and patterns. Information Systems and e-Business Management.

Veröffentlichungsdatum dieses Volltextes: 28 Mai 2024 14:04
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.58348


Zusammenfassung

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 ...

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.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftInformation Systems and e-Business Management
Verlag:Springer Nature
Datum26 April 2024
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Identifikationsnummer
WertTyp
10.1007/s10257-024-00676-0DOI
Stichwörter / KeywordsIndustrial internet of things · Business process improvement · Business process management · Metamodel · Patterns
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-583482
Dokumenten-ID58348

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