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This paper presents the main contributions of the Iterative Model for Knowledge Management proposed by Universidade Federal Fluminense (UFF) in cooperation with the Brazilian Agency for Land Transport Regulation (ANTT). The method’s great innovation is to combine to the KM diagnosis and prognosis, the concepts of conversion and knowledge flow, with the application of the 5W1H method and Enterprise Architect (EA) software to integrate the models built, also allowing its graphical representation. The models and products obtained have allowed: to understand the culture of the Agency's current KM; view existing gaps and needs in their knowledge flow construction and in the process of converting knowledge; propose a set of KM practices and tools appropriate to their reality and predict future actions of improvement that impact on the efficiency of the regulatory process.

Diagnosis and Prognosis of Knowledge Management based on k-Workflow, on Conversion and Knowledge Flow - The Case of the National Land Transport Agency in Brazil