The research analyzed instruments and legal devices for innovation that the government has had at its disposal over the past 27 years to understand the dynamics of knowledge transfer in innovation projects in the national scenario. The research also conducted a longitudinal study on Brazilian companies and innovation in the 2011, 2014, and 2017 editions of the IBGE Innovation Survey. The study developed a systems analysis framework to examine the cause-and-effect relationships between diferente proposed metrics and scenarios, considering innovative activities related to knowledge transfer. Behind understanding the context of the solution, the research identified six models of knowledge transfer to the requirements elicitation phase. Next, the research proposed the Knowledge Transfer Model for Innovation (KTMi9) to measure the technological and scientific knowledge transfer in the innovation projects between the university and society through nine dimensions. The research conducted a comparative analysis using knowledge flow measurement techniques among the seven models, and the proposed model was the most comprehensive, as it utilized the most significant number of techniques. Finally, the research also developed the computational solution based on the model in the form of an interactive dashboard – the KTSi9 – as a strategic tool for decision-making and evaluated it through a case study.