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An Integrative Method for Decision-Making in EA Management

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Architecting the Digital Transformation

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

Abstract

Due to digitalization, constant technological progress and ever shorter product life cycles, enterprises are currently facing major challenges. In order to succeed in the market, business models have to be adapted more often and more quickly to changing market conditions than they used to be. Fast adaptability, also called agility, is a decisive competitive factor in today’s world. Because of the ever-growing IT part of products and the fact that they are manufactured using IT, changing the business model has a major impact on the enterprise architecture (EA). However, developing EAs is a very complex task, because many stakeholders with conflicting interests are involved in the decision-making process. Therefore, a lot of collaboration is required. To support organizations in developing their EA, this article introduces a novel integrative method that systematically integrates stakeholder interests into decision-making activities. By using the method, collaboration between stakeholders involved is improved by identifying points of contact between them. Furthermore, standardized activities make decision-making more transparent and comparable without limiting creativity.

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Authors and Affiliations

  1. Herman Hollerith Zentrum, Reutlingen University, Danziger Str. 6, 71034, Böblingen, Germany

    Dierk Jugel

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  1. Dierk Jugel
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Correspondence to Dierk Jugel .

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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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Jugel, D. (2021). An Integrative Method for Decision-Making in EA Management. 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_15

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