This paper seeks to define and describe decision tree analysis as a method for decision making when there are multiple, linearly or hierarchically related decision points that must be considered when determining the optimum choices within a project.
Using theory and example, the paper relates the use of decision tree analysis to the successful selection of decision points in complex, multistage digital library projects.
Decision tree analysis is useful as a method for both determining the various courses of action within a project and visualizing these choices in an easily understood format. Decision tree analysis can help a team understand the relationships between issues in a project as well as the consequences of various courses of action.
The paper fills a gap in the digital library project management literature by providing an overview of a tool used in operational research that helps identify an optimal course of action within a complex system of interrelated decisions.
