Defense Acquisition Best Practices: The Knowledge-Based Approach

Abstract

Over the last decade, several response plans and methods have been established to reduce schedule and budget overruns in the Department of Defense’s (DOD) procurement programs. The Government Accountability Office (GAO) chose to revisit this issue in a recent study. They discovered that leveraging mature technology, having complete product designs, and having control over manufacturing processes were key to the successful development of new products. The GAO merged these principles into a single acquisition strategy known as the Knowledge-Based Approach (KBA). They assert that Major Defense Acquisition Programs (MDAP) that implement the KBA principles will have better program outcomes. The purpose of this research is to determine if MDAPs that meet the three basic KBA criteria outperform those that do not. MDAPs that adhered to KBA knowledge points were predicted to have lower percentages of schedule and budget overruns than those that did not. This thesis demonstrated a clear link between the KBA and program performance by using inferential testing to compare the KBA to the most recent MDAPs, thus validating the GAO’s approach, validating the research hypothesis, and promoting wider adoption of the KBA within the DOD’s acquisition community.