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Misalignment Symptom Detection with XML-based Enterprise Architecture Model Analysis

Őri, Dóra ORCID: https://orcid.org/0000-0002-3487-7631 (2017) Misalignment Symptom Detection with XML-based Enterprise Architecture Model Analysis. CEUR Workshop Proceedings, 1859 . pp. 153-157.

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Official URL: http://ceur-ws.org/Vol-1859/emisa-05-paper.pdf


Abstract

This novel directions talk deals with the concept of misalignment, with special attention on enterprise architecture (EA)-based analytical potential. In the following study, the problem of business-IT alignment will be translated into the aspects and concepts of enterprise architecture. The main purpose of the proposed research is to analyse strategic misalignment between the business dimension and the information systems dimension. The contribution of the novel directions talk is to connect typical misalignment symptoms to relevant EA analysis types. The significance of the proposed research is the clear and accurate compound of research methods and implementation instruments to approach EA-based misalignment symptom detection. The results of the proposed research will contribute to alignment assessment by expanding the ways of addressing alignment problems. Specifically, it contributes to analysing the state of misalignment in a complex EA model structure.

Item Type:Article
Uncontrolled Keywords:Strategic Alignment Perspectives, Enterprise Architecture Alignment, Misalignment Symptoms, Enterprise Architecture Analysis
Divisions:Institute of Data Analytics and Information Systems
Subjects:Business economics
Economics
Funders:Public Service Development Establishing Good Governance
Projects:KÖFOP-2.1.2.-VEKOP-15-2016-00001
ID Code:10559
Deposited By: MTMT SWORD
Deposited On:21 Nov 2024 09:35
Last Modified:21 Nov 2024 09:35

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