Article ID: | iaor20104 |
Volume: | 20 |
Issue: | 4 |
Start Page Number: | 527 |
End Page Number: | 546 |
Publication Date: | Dec 2009 |
Journal: | Information Systems Research |
Authors: | Rangaswamy Arvind, Kayande Ujwal, De Bruyn Arnaud, Lilien Gary L, van Bruggen Gerrit H |
Model-based decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be designed to induce an alignment of a decision maker's mental model with the decision model embedded in the DSS. Such an alignment requires effort from the decision maker