| Abstract | Current DSS provision typically lacks practical relevance, and the majority of systems fail to appropriately recognize their clients and users. Furthermore, little DSS research is based on case study or action research. To adequately support artifact selection decisions - which typically involve choosing one from a number of possible options - it is crucial to identify, recognize, and incorporate into any support mechanism relevant key issues of problem solving and decision making. This chapter introduces a DSS approach that was conceived out of practical survey and case study work which facilitated accurate identification of clients, users, and their individual requirements, and which was designed and evaluated for high practical relevance. |
|---|
