Recent breakthroughs in computing technology have created a set of per
plexing new problems for information systems (IS) professionals. These
revolve around decisions to be made about replacing current systems w
ith newer technology, upgrading existing systems, and migrating to oth
er platforms or environments. Many decision makers must rely on subjec
tive assessments, such as their instincts or the recommendation of ven
dors rather than on an objective analysis of their information needs a
nd how they can be met by various system alternatives. A model to quan
tify these issues, providing an objective measure for comparing system
alternatives, including migration, would be valuable. Such a model is
demonstrated here; it uses the Shannon-Weaver entropy model in conjun
ction with quality measures to quantify actual and potential system ef
fectiveness.