An approach of knowledge extraction via empirical failure knowledge in project management

Abstract

One way to make a project successful is an understanding the essence of past experiences. To develop a scheme for learning from the past experiences, it is important to accumulate valuable knowledge of organization. The knowledge is extracted by analyzing and interpreting it after information obtained from the experience is arranged again. But, it is difficult to derive an objective and profitable knowledge according to the following obstruction factor. (1) The analysis based on superficial or a local situational awareness is done. (2) The consideration of the buck-passing work. To solve the above problems, we developed causal analytical method including visualization technique of the decision sequence to support the knowledge extraction, and defined knowledge form to understand knowledge. We evaluate the analytical method and the knowledge form, and show the effectiveness of the knowledge extraction.