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Scenario-based evaluation of Enterprise Architecture: A top-down approach for chief information officer decision making
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
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2005 (English)In: 7th International Conference on Enterprise Information Systems, ICEIS 2005, Miami, FL, 2005, 130-137 p.Conference paper, Published paper (Refereed)
Abstract [en]

As the primary stakeholder for the Enterprise Architecture, the Chief Information Officer (CIO) is responsible for the evolution of the enterprise IT system. An important part of the CIO role is therefore to make decisions about strategic and complex IT matters. This paper presents a cost effective and scenario-based approach for providing the CIO with an accurate basis for decision making. Scenarios are analyzed and compared against each other by Using a number of problem-specific easily measured system properties identified in literature. In order to test the usefulness of the approach, a case study has been carried out. A CIO needed guidance on how to assign functionality and data within four overlapping systems. The results are quantifiable and can be presented graphically, thus providing a cost-efficient and easily understood basis for decision making. The study shows that the scenario-based approach can make complex Enterprise Architecture decisions understandable for CIOs and other business-orientated stakeholders.

Place, publisher, year, edition, pages
Miami, FL, 2005. 130-137 p.
Keyword [en]
Chief information officer, Decision making support, Enterprise architecture, Cost effective, Cost-efficient, Enterprise IT, Measured system, Overlapping systems, Scenario-based evaluation, Top-down approach, Architecture, Industry, Information systems, Decision making
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-49958Scopus ID: 2-s2.0-78649298668ISBN: 9728865198 (print)ISBN: 9789728865191 (print)OAI: oai:DiVA.org:kth-49958DiVA: diva2:460671
Conference
7th International Conference on Enterprise Information Systems, ICEIS 2005. Miami, FL. 25 May 2005 - 28 May 2005
Note
QC 20111202Available from: 2011-11-30 Created: 2011-11-30 Last updated: 2011-12-02Bibliographically approved

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Johnson, PontusNordström, Lars

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