The Effect of User-Developed DSS Applications on Forecasting Decision-Making Performance in an Experimental Setting

Abstract

:A primary assumption of decision support systems (dss) is that their use will result in more effective decision making. Using a repeated measures design, we conducted an experimental gaming study to investigate the effect of user-developed dss applications on the decision maker’s ability to forecast his or her actual gaming results.The findings of this study support the proposition that user-developed dss models lead to more effective decision making. Subjects in the dss modeling group made significantly better forecasts of their firm’s performance than did those in the non-modeling group.

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