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Decision Case Management for Digital Enterprise Architectures with the Internet of Things
Reutlingen University, Germany.
Munich University of Applied Sciences, Germany.
Reutlingen University and University of Rostock, Germany.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany. (Information Engineering)
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2016 (English)In: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II / [ed] Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain, Springer, 2016, 27-37 p.Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT), Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are investigating mechanisms for flexible adaptation and evolution for the next digital enterprise architecture systems in the context of the digital transformation. Our aim is to support flexibility and agile transformation for both business and related enterprise systems through adaptation and dynamical evolution of digital enterprise architectures. The present research paper investigates mechanisms for decision case management in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering for the digitization and architectural decision support.

Place, publisher, year, edition, pages
Springer, 2016. 27-37 p.
Series
Smart Innovation, Systems and Technologies (SIST), ISSN 2190-3018 ; 57
Keyword [en]
Decision support, Decision case management, Internet of Things, Adaptive enterprise architecture, Digital transformation
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-34940DOI: 10.1007/978-3-319-39627-9_ 3ISI: 000389636900003Scopus ID: 2-s2.0-84977123287ISBN: 978-3-319-39626-2 (print)ISBN: 978-3-319-39627-9 (electronic)OAI: oai:DiVA.org:hj-34940DiVA: diva2:1070508
Conference
8th International KES Conference on Intelligent Decision Technologies, KES-IDT-16, Puerto de la Cruz, 2016.
Available from: 2017-02-01 Created: 2017-01-31 Last updated: 2017-03-06Bibliographically approved

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Publisher's full textScopushttp://dx.doi.org/10.1007/978-3-319-39627-9_3

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Sandkuhl, Kurt

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