TY - GEN
T1 - Decision case management for digital enterprise architectures with the internet of things
AU - Zimmermann, Alfred
AU - Schmidt, Rainer
AU - Jugel, Dierk
AU - Sandkuhl, Kurt
AU - Schweda, Christian
AU - Möhring, Michael
AU - Bogner, Justus
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84977123287&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-39627-9_3
DO - 10.1007/978-3-319-39627-9_3
M3 - Conference contribution
SN - 9783319396262
T3 - Smart Innovation, Systems and Technologies
SP - 27
EP - 37
BT - Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016
A2 - Jain, L.C.
A2 - Howlett, R.J.
A2 - Czarnowski, I.
A2 - Caballero, A.M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016
Y2 - 15 June 2016 through 17 June 2016
ER -