The purpose of this study is to identify, determine and analyze the relationships between the components of the commercialization model of innovative products of knowledge-based companies in the chemical field with an interpretative-structural modeling approach. The current study is a mixed (qualitative-quantitative) research. The statistical population consists of 17 experts who were selected using a non-probability and theoretical sampling method. In the qualitative part, the variables of the model were identified and categorized by coding using semi-structured interviews with experts and content analysis approach. In the quantitative part, the degree of influence between the variables of the model was determined with the opinions of experts in the pairwise comparison questionnaire and the level was determined with the interpretive-structural modeling approach. According to the findings of the content analysis, the research commercialization model has the variables of "discovery and ideation", "evaluation and formation", "production and exploitation", "market and sales", and "feedback and recovery". is The findings of the quantitative part of interpretive-structural modeling showed that the model has four levels, the variables "discovery and ideation" and "evaluation and formation" are the most effective, the variables "market and sales" and "production and profit" Vector" as connected variables and "feedback and recovery" variable is the most dependent. This result shows that in order to improve the commercialization of innovative chemical products, discovery and ideation should be done according to the goals of sustainable development and circular economy, and finally the life cycle of products should be monitored and controlled.