An agent-based model to assess value in organizational knowledge reuse

Organizations today compete in a knowledge-based economy. In the Foresight 2020 survey, knowledge management (KM) is believed to offer the greatest potential for productivity gains over the next decade. However, in practice many organizations do not receive satisfactory value from implementing KM. The primary reason of low return on KM investment is due to reuse problems. We propose an agent-based model to assessing knowledge reuse processes in an organization. By modeling major components in knowledge reuse processes as agents, we provide a way to analyze the interactions and relationships among these individuals, and their impact on the value in organizational knowledge reuse. This paper presents a preliminary model of our work-in-progress.