| Article ID: | iaor19992296 |
| Country: | United Kingdom |
| Volume: | 16 |
| Issue: | 3 |
| Start Page Number: | 145 |
| End Page Number: | 152 |
| Publication Date: | Jun 1998 |
| Journal: | International Journal of Project Management |
| Authors: | Alarcon Luis F., Ashley David B. |
This paper presents a methodology to evaluate the impact of management decisions on project performance outcomes. This decision-theory based methodology consists of a conceptual qualitative model structure and a mathematical model structure. The conceptual component is a simplified structured model of the variables and interactions that influence the decision being analysed. Influences and interactions assessed by experts or members of the management team are stored in a knowledge base. The mathematical component of the methodology uses concepts of cross-impact analysis and probabilistic inference as the core of the analysis procedure. The paper describes how the cross-impact concepts have been adapted and extended. Among the extensions, a method to combine probabilistic evidence is applied in this model to perform probabilistic inference. The result is a powerful but easy to use modelling and decision making methodology.