This paper presents an applied methodology to assist managers in strat
egically setting prices and allocating resources over the product, bra
nd, or adoption (diffusion) life cycle. While substantial theoretical
work has been achieved in this area in the management science and oper
ations research disciplines, approaches which can be implemented as ma
nagerial tools are generally lacking. Our methodology, which has been
applied as a PC-based decision support tool in the telecommunications
industry, marries the dynamic optimization literature with decision ca
lculus approaches offering sufficient flexibility for applied contexts
. We discuss the approach and describe its use to derive optimal price
and advertising policies. Strategies not commonly suggested using tra
ditional formulations are also presented. (C) 1997 Elsevier Science B.
V.