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Adaptive and Resilient Business Architecture for the Digital Age

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Architecting the Digital Transformation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 188))

Abstract

The process of enterprise digitalization has become in recent years unstoppable. In the global competition, enterprises have to use all the means available in order to be able to respond to competitors’ innovations or to be able to implement innovations that would take them ahead of the competition. With the rising complexity of the used business and the information technologies, usage of enterprise architecture becomes inevitable so that the business-IT alignment is maintained. In this chapter we describe a method how to develop a resilient and adaptive minimal business architecture so that business requirements can be clearly defined, their support by the functionality of applications evaluated and the missing support resolved. The method is illustrated with the generally accepted EA standards TOGAF/ArchiMate, UML and BPMN and its benefits are discussed. We also provide the reader with a meta-model that specifies how these standards in the discussed areas match together.

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Author information

Authors and Affiliations

  1. Faculty of Informatics and Statistics, University of Economics in Prague, Prague, Czech Republic

    Václav Řepa & Oleg Svatoš

Authors
  1. Václav Řepa
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  2. Oleg Svatoš
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Corresponding author

Correspondence to Václav Řepa .

Editor information

Editors and Affiliations

  1. Faculty of Informatics, Reutlingen University, Reutlingen, Baden-Württemberg, Germany

    Alfred Zimmermann

  2. Faculty of Computer Science, Munich University of Applied Sciences, München, Bayern, Germany

    Rainer Schmidt

  3. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Řepa, V., Svatoš, O. (2021). Adaptive and Resilient Business Architecture for the Digital Age. In: Zimmermann, A., Schmidt, R., Jain, L. (eds) Architecting the Digital Transformation. Intelligent Systems Reference Library, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-030-49640-1_11

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