Psychologists have identified several limitations to, and biases in, human
decision-making processes. One such bias is the anchoring and adjustment ef
fect, which has been demonstrated to be robust both inside and outside the
experimental laboratory. Some decision support systems (DSS) have been desi
gned to lessen the effects of decision-making limitations with promising re
sults. This study tested a DSS designed to mitigate the effects of the anch
oring and adjustment bias. The results show that anchoring and adjustment r
emains robust within the context of automated decision support. Implication
s that follow these results are offered. (C) 2000 Elsevier Science B.V. All
rights reserved.