Decision-Oriented Composition Architecture for Digital Transformation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Alfred Zimmermann , Rainer Schmidt , Kurt Sandkuhl , Dierk Jugel , Justus Bogner , Michael Möhring

ABSTRACT

Enterprises are presently transforming their strategy, culture, processes, and their information systems to become more 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 or mobile systems. Since years a lot of new business opportunities appeared using the potential of the Internet and related digital technologies, like Internet of Things, services computing, cloud computing, big data with analytics, mobile systems, collaboration networks, and cyber physical systems. This has a strong impact for architecting digital services and products. The change from a closed-world modeling perspective to more flexible open-world composition and evolution of system architectures defines the moving context for adaptable systems, which are essential to enable the digital transformation. In this paper, we are focusing on a decision-oriented architectural composition approach to support the transformation for digital services and products. More... »

PAGES

109-119

References to SciGraph publications

  • 2011. Architecting the Internet of Things in NONE
  • 2018. Decision-Controlled Digitization Architecture for Internet of Things and Microservices in INTELLIGENT DECISION TECHNOLOGIES 2017
  • 2015. Living Modeling of IT Architectures: Challenges and Solutions in SOFTWARE, SERVICES, AND SYSTEMS
  • 2016. Digitization – Perspectives for Conceptualization in ADVANCES IN SERVICE-ORIENTED AND CLOUD COMPUTING
  • 2017. Multi-perspective Digitization Architecture for the Internet of Things in BUSINESS INFORMATION SYSTEMS WORKSHOPS
  • Book

    TITLE

    Intelligent Decision Technologies 2018

    ISBN

    978-3-319-92027-6
    978-3-319-92028-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-92028-3_11

    DOI

    http://dx.doi.org/10.1007/978-3-319-92028-3_11

    DIMENSIONS

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