An innovative technology of recent implementation is the in-store mobile payment applications, which offer the possibility of scanning the barcodes of products and paying for them through the application inside the store, avoiding checkout lines. Despite the convenient shopping experience, app usage penetration is low in some countries. To predict the intention to use the app, the research uses the Technology Acceptance Model (TAM) and includes the variables mobility, personal innovativeness, subjective norms, and perceived risk. A total of 250 surveys were conducted through an online questionnaire to customers between 18 and 36 years old from the three main department stores in Lima. The results showed that mobility has a positive impact on the ease of use and perceived usefulness of the application-variables that in turn influence the intention to use it-; while personal Innovativeness has no influence on these three variables. Subjective norm has an impact on perceived ease of use and intention to use, but not on perceived useful-ness, and perceived risk has a negative impact on intention to use.