Abstract
Based on previously released research this paper focuses on the question of how IT projects should be allocated to a risk/return balanced IT portfolio. Therefore we develop an approach that exploits the structure of IS Architectures and scenarios to identify project risks as well as dependencies between projects. As a result, different clusters of efficient portfolios with distinctive risk/return-properties can be derived. The presented approach is designed to support management decisions in a pragmatic manner when selecting IT portfolios. By using real data of a major German financial services provider we exemplify the implementation and the results of the presented approach.
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