Intelligent delivery of military lessons learned

摘要

Lessons learned systems (LLS) are a common knowledge management (KM) initiative among the American government agencies (e.g., Department of Defense (DOD), Department of Energy (DOE), NASA). An effective lessons learned (LL) process can substantially improve decision processes, thus representing an essential chapter in a knowledge-sharing digital government. Unfortunately, these systems typically fail to deliver lessons when and where they are needed. In this paper, we introduce, describe, and empirically evaluate the monitored distribution (MD) approach for the active delivery of lessons learned. Our results show that this just-in-time information delivery approach, embedded in a decision support system (DSS) for plan authoring, significantly improved plan execution performance measures.