This study seeks to improve our understanding of airport users’ intentions of using the smart entry service (SES) by testing a research model that considers functionality, security, perceived enjoyment, perceived ease-of-use, perceived usefulness, and intention to use simultaneously. The variables that affect the intention of using the SES were investigated, and the correlations among the variables were analyzed. Through the E-Technology Acceptance Model (TAM) that is based on the concept of self-service technology, a research model of the intention of using SES was developed in this study. Surveys were conducted targeting 276 passengers who were experienced with SES, and the correlations among the variables were analyzed using a structural equation modeling. It was found that there were significant relationships between the variables, except in four paths. The result showed that factors such as functionality, security, perceived enjoyment, perceived ease-of-use, and perceived usefulness were confirmed to have positively affected the intention of using SES. The outcomes of this study may be used as baseline data for establishing a strategy to promote the use of the SES.