Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

Jun Hwan Kim, Woon-Kyung Song and Hyun Cheol Lee ()
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Jun Hwan Kim: Korea Aviation Safety Data Analysis Center, Korea Institute of Aviation Safety Technology, Incheon 22851, Republic of Korea
Woon-Kyung Song: School of Business, Korea Aerospace University, Goyang 10540, Republic of Korea
Hyun Cheol Lee: School of Business, Korea Aerospace University, Goyang 10540, Republic of Korea

Sustainability, 2023, vol. 15, issue 19, 1-21

Abstract: After the pandemic, there has been an increasing emphasis on customer convenience, with biometrics emerging as a key solution. This study empirically investigates the intention of Korean travelers to use airport biometric systems. The technology acceptance model (TAM) was employed to explore users’ perceptions of the system’s functional aspects, while technology familiarity, social influence, and trust in information protection were integrated into the model to understand users’ psychological aspects. The results reveal that perceived usefulness and ease of use have a positive relationship with the intention to use the biometric system and that perceived ease of use positively influences perceived usefulness. The impact of social influence and technology familiarity was not statistically significant but trust emerged as the most influential factor determining the intention to use the system. Furthermore, the study identified that gender moderates the effect of trust on the intention to use. This study contributes by identifying key determinants for airport biometric system adoption and by investigating the moderating influence of gender. As a primary result, airport biometric systems must have effective functionality and a user-friendly passenger environment while ensuring confidence in system security. These findings have significant implications for the sustainable implementation of airport biometric systems.

Keywords: airport; airport biometric system; social influence; sustainable implementation; technology acceptance model; technology familiarity; trust in information protection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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