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Conference Papers Year : 2016

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

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Dóra Őri
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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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Dates and versions

hal-01653528 , version 1 (01-12-2017)

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Attribution - CC BY 4.0

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Dóra Őri. An Artifact-Based Framework for Business-IT Misalignment Symptom Detection. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. pp.148-163, ⟨10.1007/978-3-319-48393-1_11⟩. ⟨hal-01653528⟩
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