The aim of the research is to investigate the resistance factors about consumer acceptance of Unmanned Order Payment System on Omni Channel based on Ram's 'Innovation Resistance Model'. The research was conducted based on a survey of 311 consumers aged between 10 and 60, and the Frequency Analysis, Descriptive Statistics Reliability Verification, Factor Analysis, and Multiple Regression Analysis are carried out using SPSS 20.0. The results of this research are as follows. First, the perceived resistance factors of consumers appeared in order of 'perceived risk' > 'complexity' > 'reversibility' > 'consumer innovation'> 'relative advantage'. Second, Multiple Regression Analysis was performed by setting five consumer resistance factors (relative advantage, complexity, reversibility, consumer innovation, and perceived risk) as independent variables and setting innovation resistance as dependent variable. As a result, it was found that the higher complexity and reversibility and perceived risk, the more innovation resistance increased. And the higher relative advantage and consumer innovation, the more innovation resistance decreased. Third, among the consumer resistance factors, the highest influence factor on innovation resistance was 'Complexity', followed by 'relative advantage', 'consumer innovation', 'returnability' and 'perceived risk'. This is analyzed as complexity of order and payment process in actual usage is the biggest factor make consumers recognize the most concerned part as 'perceived risk' when using the Omni Channel's Unmanned Order Payment System to resist the new system.