This research aims to design a model for the management of technological innovation using a system dynamics (SD) approach. The construction of the SD model is based on the analysis of existing models in the literature, and the methodology includes defining the problem, creating a causal loop diagram, a flow diagram, summarizing the main equations, and validating the model. The main variables identified are capital available for innovation investment, capital invested in high-level human resource training, high-level trained human resources, capital invested in innovation projects, innovation service contracts, profits from innovation service contracts, and initial capital for innovation investment. The research is structured into two main phases: a systematic review to clarify key concepts related to technological innovation management and the development of an SD model based on the analysis of existing literature. The procedure consists of five stages: problem definition, causal loop diagram, flow diagram, equations, and model validation. The model provides a comprehensive perspective to analyze the complex interactions between key variables in the technological innovation process, focusing on three fundamental aspects: the human resource capacity for innovation, investment in innovation projects, and revenue generation through innovative services. The model emphasizes internal innovation within the organization and does not consider external innovation transfer sources such as strategic alliances or technology acquisitions. However, it offers a valuable tool for understanding and managing the complex dynamics of technological innovation in business contexts. Future research could expand the model to incorporate external innovation elements, enhancing its applicability and depth of analysis.This research aims to design a model for the management of technological innovation using a system dynamics (SD) approach. The construction of the SD model is based on the analysis of existing models in the literature, and the methodology includes defining the problem, creating a causal loop diagram, a flow diagram, summarizing the main equations, and validating the model. The main variables identified are capital available for innovation investment, capital invested in high-level human resource training, high-level trained human resources, capital invested in innovation projects, innovation service contracts, profits from innovation service contracts, and initial capital for innovation investment. The research is structured into two main phases: a systematic review to clarify key concepts related to technological innovation management and the development of an SD model based on the analysis of existing literature. The procedure consists of five stages: problem definition, causal loop diagram, flow diagram, equations, and model validation. The model provides a comprehensive perspective to analyze the complex interactions between key variables in the technological innovation process, focusing on three fundamental aspects: the human resource capacity for innovation, investment in innovation projects, and revenue generation through innovative services. The model emphasizes internal innovation within the organization and does not consider external innovation transfer sources such as strategic alliances or technology acquisitions. However, it offers a valuable tool for understanding and managing the complex dynamics of technological innovation in business contexts. Future research could expand the model to incorporate external innovation elements, enhancing its applicability and depth of analysis.