Towards Detecting Misalignment Symptoms: An Alignment Perspective-Driven Architecture-Matching Framework (Extended Abstract)

نویسنده

  • Dora Öri
چکیده

When assessing the harmony between business and information systems, most of traditional studies deal with the presence and the achievement of strategic alignment. On the contrary, exiguous attention is paid to the phenomenon of strategic misalignment, which means the absence or difficulties of business-IT alignment. This paper deals with strategic misalignment between business and information systems. It proposes an enterprise architecture (EA)-based framework to detect the symptoms of misalignment in enterprise architecture models. It collects typical misalignment symptoms along the traditional alignment perspectives and connects them to relevant EA analysis types. The paper discusses the typical signs of strategic misalignment in different EA domain matches. Suitable EA analysis types are recommended to the detected signs of misalignment. The work summarized in this extended abstract has been published in Dóra Őri: Towards Detecting Misalignment Symptoms: An Alignment Perspective-Driven ArchitectureMatching Framework. Enterprise and Organizational Modeling and Simulation. Lecture Notes in Business Information Processing, Vol 231. Springer Berlin Heidelberg, 2015.

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تاریخ انتشار 2016