The initial screening of a new product idea is critically important. Risky
projects (i.e., those with high probabilities of failure) need to be elimin
ated early before significant investments are made and opportunity costs in
curred. Unfortunately, previous research suggests that it is often difficul
t for managers to "kill" new product development projects once they have be
gun. Furthermore, recent studies (including some centering on PDMA members)
suggest there is much room for improving new product screening, because th
is decision often is taken informally or unsystematically. Whereas tools su
ch as Cooper's NewProd software are available to aid in the screening decis
ion, management science decision support models for screening are not used
frequently. In the present study, the authors illustrate the use of the Ana
lytic Hierarchy Process (AHP) as a decision support model to aid managers i
n selecting new product ideas to pursue. The need for flexible models that
are highly customized to each firm's challenges (such as AHP) to support th
e Screening decision and to generate knowledge that will be used as input f
or a firm's expert support system is emphasized. The authors then present a
n in-depth example of an actual application of AHP in new product screening
and discuss the usefulness of this process in gathering and processing kno
wledge for making new product screening decisions. Finally, the authors exp
lain how a customized AHP process can be incorporated into a sophisticated
information system or used as standalone support. (C) 1999 Elsevier Science
Inc.