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Applying Design Science Research for Enterprise Architecture Business Value Assessments

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7286)

Abstract

In the effort to measure the business value and impact of Enterprise Architecture (EA), we need to adapt an appropriate form of information systems research in order to cope with the encountered challenges. For this purpose, we employed Design Science Research (DSR), a problem-driven approach to provide a solution represented as artifacts to provide the required utility to our stakeholders. The main contribution of this research is the detailed focus on how artifacts are actually conceived in an organizational context and the realization that a complex environment demands for more than just one artifact. Therefore, we are in need of a flexible research methodology. The DSR in this case is conducted within a well-known information systems research framework and follows widely accepted principles and guidelines. We explain the business need that arose from the current business practices in the course of a case study and describe the flexible research methodology we pursue and how we intend to solve the problems we identified as current DSR approaches lack the necessary flexibility we were looking for in practice. This flexibility greatly improves the management of our project in the organizational environment in terms of planning and implementation. Furthermore, we outline the evolutionary state of the artifacts during our adapted research process.

Keywords

  • Design Science
  • Enterprise Architecture
  • Business Value Assessment

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© 2012 Springer-Verlag Berlin Heidelberg

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Meyer, M., Helfert, M., Donnellan, B., Kenneally, J. (2012). Applying Design Science Research for Enterprise Architecture Business Value Assessments. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds) Design Science Research in Information Systems. Advances in Theory and Practice. DESRIST 2012. Lecture Notes in Computer Science, vol 7286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29863-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-29863-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29862-2

  • Online ISBN: 978-3-642-29863-9

  • eBook Packages: Computer ScienceComputer Science (R0)