Systemic Management of Architectural Decisions in Enterprise Architecture Planning : Four Dimensions and Three Abstraction Levels
Pulkkinen, M. (2006). Systemic Management of Architectural Decisions in Enterprise Architecture Planning. Four Dimensions and Three Abstraction Levels. In R. H. Sprague (Ed.), Proceedings of the Thirty-Ninth Annual Hawaii International Conference on System Sciences. Institute of Electrical and Electronics Engineers Computer Society. IEEE Computer Society.
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Editors
Date
2006Discipline
TituCopyright
© Author, 2006
This paper presents a process model for the management of architectural decisions in enterprise architecture planning. First, decisions are made at the enterprise level, with strategic business considerations on the enterprise information, systems and technology strategy and governance issues. The next step is to define the domains, to then go on with domain architecture decisions. At the systems level, the enterprise and domain architecture decisions are collected and converted into architecture descriptions accurate in precision, form and detail to be given as input to the information systems development process, following the architectural planning. The model is derived from previous work and empirical findings in three large organizations, where the enterprise architecture and enterprise systems have been developed. This case study contributes with considerations on the domains, their definition, and produces refinements to an enterprise architecture process model presented before. For the development of the model, the "living system" paradigm is followed.
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Publisher
IEEE computer society pressParent publication ISBN
0-7695-2507-5Conference
39th Annual Hawaii International Conference on System Sciences (HICSS'06)Is part of publication
Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)ISSN Search the Publication Forum
1530-1605Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/15802777
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The present study was funded by the Finnish National Technology Agency TEKES, and the three participating companies: IBM Finland, TietoEnator Group and Yomi Software.License
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