Zimmermann, Alfred and Schmidt, Rainer and Sandkuhl, Kurt and Jugel, Dierk and Bogner, Justus and Möhring, Michael (2018) Evolution of Enterprise Architecture for Digital Transformation. In: 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), 16-19 Oct 2018, Stockholm, Sweden.
Full text not available from this repository.Abstract
The digital transformation of our life changes the way we work, learn, communicate, and collaborate. Enterprises are presently transforming their strategy, culture, processes, and their information systems to become digital. The digital transformation deeply disrupts existing enterprises and economies. Digitization fosters the development of IT systems with many rather small and distributed structures, like Internet of Things, Microservices and mobile services. Since years a lot of new business opportunities appear using the potential of services computing, Internet of Things, mobile systems, big data with analytics, cloud computing, collaboration networks, and decision support. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and adaptable distributed information systems with service-oriented enterprise architectures. This has a strong impact for architecting digital services and products following both a value-oriented and a service perspective. The change from a closed-world modeling world to a more flexible open-world composition and evolution of enterprise architectures defines the moving context for adaptable and high distributed systems, which are essential to enable the digital transformation. The present research paper investigates the evolution of Enterprise Architecture considering new defined value-oriented mappings between digital strategies, digital business models and an improved digital enterprise architecture.
Item Type: | Conference or Workshop Item (Paper) |
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Depositing User: | Nikola Ivanovic |
Date Deposited: | 10 Apr 2019 11:16 |
Last Modified: | 10 Apr 2019 11:16 |
URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/691 |
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