In this study, the technology acceptance model is used and 561 people were given a questionnaire in order to investigate the acceptance level and usage status of electronic payment tools on the way to transformation into a cashless society. The data obtained from the study were analyzed by setting up a logistic regression model. It has been determined that the use of electronic payment tools is affected by gender, age, education, the need to use technology, special norms, perceived behavioral control and behavior of intent.