Researchers often employ the event history analysis method to understand the progression and resilience of innovation systems, as this method explores the sequence and timing of key events influencing the innovation system. However, the traditional event history analysis method may not fully explore the cumulative influence of events, trace and identify innovation actors, or capture the dynamics driving the actions of the innovation actors. To address these limitations, we recommend a systems thinking innovation dynamic framework to analyze the progression of innovation systems. This framework offers a novel combination of three existing artifacts: the innovation system framework, the event history analysis method, and the theory on systems thinking. This integrated approach allows for a comprehensive analysis of the development of innovation systems, focusing on how the different components of an innovation system interact and influence one another as a whole rather than examining the individual parts in isolation. This approach will enable authors to create comprehensive case studies on innovation systems, allowing them to a) analyze how technology has evolved, b) identify key events that led to significant breakthroughs or challenges, c) understand the influences of delays on systemic progress and challenges, d) understand the dynamics and resources affecting development, e) pinpoint high-leverage points where interventions can effectively tackle systemic issues causing major challenges, and f) consider whether the designed interventions might lead to unintended consequences in the near future.