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

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.

• 저널MIS Quarterly · 11(2) · 233–243
• 토픽Complex Systems and Decision Making · Management Science and Operations Research
• DOI10.2307/249368
• 저자William Remus, Jeffrey E Kottemann