Semi-Structured Recurring Decisions: An Experimental Study of Decision Making Models and Some Suggestions for DSS.

Author List: Remus, William; Kottemann, Jeffrey E.;

MIS Quarterly, 1987, Volume 11, Issue 2, Page 233-243.

A key to designing an effective computer-based decision support system is deciding which models best support the decision makers. Since most decision support systems include optimizing rather than tracking models, this experiment examines the evidence for tracking when making a production scheduling decision. The experiment found evidence that tracking behavior was occurring. This suggests the need to support tracking behavior with decision support systems. Approaches to such support are offered.

Keywords: Decision making; decision support systems; production scheduling; tracking

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#57	0.691	decision support systems making design models group makers integrated article delivery representation portfolio include selection effective claims decisions rationale various
#51	0.091	results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving