TY - CHAP
T1 - Portfolio decision quality
AU - Keisler, Jeffrey
N1 - Publisher Copyright:
© Springer Science+Business Media, LLC 2011.
PY - 2011
Y1 - 2011
N2 - The decision quality framework has been useful for integrating decision analytic techniques into decision processes in a way that adds value. This framework extends to the specific context of portfolio decisions, where decision quality is determined at both the project level and the portfolio level, as well as in the interaction between these two levels. A common heuristic says that the perfect amount of decision quality is the level at which the additional cost of improving an aspect of the decision is equal to the additional value of that improvement.A review of several models that simulate portfolio decision-making approaches illustrates how this value added depends on characteristics of the portfolio decisions, as does the cost of the approaches.
AB - The decision quality framework has been useful for integrating decision analytic techniques into decision processes in a way that adds value. This framework extends to the specific context of portfolio decisions, where decision quality is determined at both the project level and the portfolio level, as well as in the interaction between these two levels. A common heuristic says that the perfect amount of decision quality is the level at which the additional cost of improving an aspect of the decision is equal to the additional value of that improvement.A review of several models that simulate portfolio decision-making approaches illustrates how this value added depends on characteristics of the portfolio decisions, as does the cost of the approaches.
UR - https://www.scopus.com/pages/publications/84955305775
UR - https://www.scopus.com/pages/publications/84955305775#tab=citedBy
U2 - 10.1007/978-1-4419-9943-6_2
DO - 10.1007/978-1-4419-9943-6_2
M3 - Chapter
AN - SCOPUS:84955305775
T3 - International Series in Operations Research and Management Science
SP - 29
EP - 51
BT - International Series in Operations Research and Management Science
PB - Springer New York LLC
ER -