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An effective Decision Support System (DSS) should help its users improve decision-making in complex, information-rich, dynamic environments. The authors present a feature gap analysis of current decision support technologies, and they identify a set of DSS Desiderata, properties that can contribute both effectiveness and flexibility to users in such environments. They show that there is a gap between the features provided by current DSS technologies and the DSS Desiderata they aim for. They present a design-science approach that extends the boundaries of human decision-makers by creating a new and innovative artifact called "Evaluator service networks" at the confluence of people, organizations, and technology.
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