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Multi-perspective decision management for digitization architecture and governance

  • The internet of things, enterprise social networks, adaptive case management, mobility systems, analytics for big data, and cloud environments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors for living and adaptable ecosystems are currently providing the logical foundation for resilient run-time environments with serviceoriented digitization architectures and for self-optimizing intelligent business services and related distributed information systems. We are investigating mechanisms for flexible adaptation and evolution of information systems with digital architecture in the context of the ongoing digital transformation. The goal is to support flexible and agile transformations for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of decision analytics for digitization architectures, putting a spotlight to internet of things micro-granular architectures, by extending original enterprise architecture reference models with digitization architectures and their multi-perspective architectural decision management.

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Metadaten
Name:Zimmermann, Alfred; Jugel, Dierk; Bogner, Justus; Kehrer, Stefan
DOI:https://doi.org/10.1109/EDOCW.2016.7584378
ISBN:978-1-4673-9933-3
Erschienen in:2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW) : EDOCW 2016, 5 - 9 September 2016, Vienna, Austria
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Remco Dijkman
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Tag:Internet of Things; adaptable services; digital transformation; digitization architecture and governance; multi-perspective decision management
Pagenumber:8
First Page:174
Last Page:181
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE