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Schönig, Stefan ; Ackermann, Lars ; Jablonski, Stefan ; Ermer, Andreas

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

Schönig, Stefan, Ackermann, Lars, Jablonski, Stefan und Ermer, Andreas (2020) IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution. Software and Systems Modeling 19, S. 1443-1459.

Veröffentlichungsdatum dieses Volltextes: 05 Feb 2021 08:47
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.44717


Zusammenfassung

Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an ...

Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-compatible way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context-specific IoT data provision. The approach has been implemented on top of contemporary BPM modeling concepts and system technology. The introduced technique has evaluated extensively in different use cases in industry.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftSoftware and Systems Modeling
Verlag:SPRINGER HEIDELBERG
Ort der Veröffentlichung:HEIDELBERG
Band:19
Seitenbereich:S. 1443-1459
Datum19 März 2020
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/s10270-020-00785-7DOI
Stichwörter / KeywordsBUSINESS PROCESSES; SCIENCE RESEARCH; DESIGN SCIENCE; INDUSTRY 4.0; BIG DATA; INTERNET; SYSTEMS; THINGS; Process Execution; Internet of Things; Wearables
Dewey-Dezimal-Klassifikation300 Sozialwissenschaften > 330 Wirtschaft
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-447179
Dokumenten-ID44717

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