An Artifact-Based Framework for Business-IT Misalignment Symptom Detection

Abstract : Enterprise architecture-based approaches give an in-depth analytic potential for alignment and misalignment assessment. The ability to incorporate these analytic potentials is an ongoing concern in the state-of-the-art strategic alignment literature. This paper proposes a framework for EA artifact-based misalignment symptom detection. The framework aims to perform a systematic, EA-based analysis of mismatches between the business and IT dimensions of the traditional Strategic Alignment Model (SAM). By operating the framework, containing EA-artifacts and suitable EA analysis types are connected to typical misalignment symptoms along the traditional alignment perspectives. The operation of the framework is illustrated with a case study about a fleet management project at a road management authority.
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Jennifer Horkoff; Manfred A. Jeusfeld; Anne Persson. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. Springer International Publishing, Lecture Notes in Business Information Processing, LNBIP-267, pp.148-163, 2016, The Practice of Enterprise Modeling 〈10.1007/978-3-319-48393-1_11〉
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Dóra Őri. An Artifact-Based Framework for Business-IT Misalignment Symptom Detection. Jennifer Horkoff; Manfred A. Jeusfeld; Anne Persson. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. Springer International Publishing, Lecture Notes in Business Information Processing, LNBIP-267, pp.148-163, 2016, The Practice of Enterprise Modeling 〈10.1007/978-3-319-48393-1_11〉. 〈hal-01653528〉

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