Author List: Silver, Mark S.;
MIS Quarterly, 1991, Volume 15, Issue 1, Page 105-122.
In the course of interacting with a decision support system (DSS), decision makers may have numerous opportunities for exercising judgment. Some judgments pertain to what to do next; others require predictions or evaluations. Either deliberately or inadvertently, a DSS may guide its users in performing these judgments. This article lays a foundation and proposes an agenda for researching such "decisional guidance." Studying docisional guidance matters for two reasons. First, deliberately incorporating guidance in a system offers the potential of more supportive systems while raising a number of design questions. Second, understanding the consequences of guidance--deliberate or not--contributes to comprehending how DSSs affect decision-making behavior. This article examines three aspects of decisional guidance: (1) when and why system designers should provide decisional guidance, considering the opportunities, motives, and means for guiding; (2) how designers can provide guidance, introducing a three-dimensional typology for deliberate guidance; and (3) the consequences of decisional guidance--that is, its effects and effectiveness. This ankle provides a coherent approach to a set of behavioral questions just now beginning to be addressed by researchers in a fragmented, technologically oriented manner.
Keywords: decision making; Decision support systems; decision-making process; decisional guidance; human judgment; meta-choice; meta-support
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#113 0.494 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#222 0.157 research researchers framework future information systems important present agenda identify areas provide understanding contributions using literature studies paper potential review
#183 0.117 explanations explanation bias use kbs biases facilities cognitive making judgment decisions likely decision important prior judgments feedback types difficult lead
#75 0.091 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses expected theories consequences impact theory