With the rapid growth of Internet technology in China, e-commerce and mobile payment systems have become common. Due to these developments, live commerce is also continuously developing. Based on this background, this study aims to investigate the structural relationship between consumers' propensity, impulse buying, and behavioral intentions for consumers who are currently using live shopping in China. To this end, based on previous research, three factors such as conspicuousness, sensitivity, and hedonism were selected as independent variables as sub-factors of consumer propensity, and impulse buying was selected as a mediator variable, behavioral intention was selected as the dependent variable, and the relationship between these variables was empirically verified. For empirical analysis, an online survey was conducted from May 1 to May 20 of 340 consumers using live shopping in China. Frequency analysis was performed to analyze the general status of the sample, and exploratory factor analysis and reliability analysis were performed to verify the reliability and validity of the measurement variables. In addition, to verify the convergent validity and discriminant validity of the measured variables, confirmatory factor analysis and correlation analysis were performed, and structural equation model analysis was used to test the hypothesis. For this statistical analysis, SPSS26.0 and AMOS26.0 were used. To summarize the empirical analysis results, first, it was verified that the conspicuousness of consumer propensity in live shopping had a significant positive effect on impulse buying. Second, the sensitivity of consumer propensity in live shopping was verified to have a significant positive effect on impulse buying. Third, it was confirmed that hedonism of consumer propensity in live shopping did not affect impulse buying. Fourth, impulse buying of live shopping did not have a significant effect on behavior intention. These results show that after making impulse purchases through live shopping, if they are not satisfied or do not match their expectations, they are more likely not to make purchases in the future.