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

Author

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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)

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.

Suggested Citation

  • Jun Hwan Kim & Woon-Kyung Song & Hyun Cheol Lee, 2023. "Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study," Sustainability, MDPI, vol. 15(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14129-:d:1246640
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    References listed on IDEAS

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    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    3. Seungju Nam & Hyun Cheol Lee, 2019. "A Text Analytics-Based Importance Performance Analysis and Its Application to Airline Service," Sustainability, MDPI, vol. 11(21), pages 1-24, November.
    4. Cheong Kim & Kun Chang Lee & Francis Joseph Costello, 2020. "The Intention of Passengers towards Repeat Use of Biometric Security for Sustainable Airport Management," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    5. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    6. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    7. Sung-Bum Kim & Ki-Joon Kwon, 2018. "Examining the Relationships of Image and Attitude on Visit Intention to Korea among Tanzanian College Students: The Moderating Effect of Familiarity," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    8. Mun Hwan Kim & Jin Woo Park & Yu Jin Choi, 2020. "A Study on the Effects of Waiting Time for Airport Security Screening Service on Passengers’ Emotional Responses and Airport Image," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    9. Lu, Jin-Long & Chou, Hung-Yen & Ling, Pei-Chuan, 2009. "Investigating passengers' intentions to use technology-based self check-in services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(2), pages 345-356, March.
    10. Bogicevic, Vanja & Bujisic, Milos & Bilgihan, Anil & Yang, Wan & Cobanoglu, Cihan, 2017. "The impact of traveler-focused airport technology on traveler satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 351-361.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    12. Sharma, Mahak & Singh, Anupama & Daim, Tugrul, 2023. "Exploring cloud computing adoption: COVID era in academic institutions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    13. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    14. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    15. Fahimeh Hateftabar, 2023. "Analyzing the adoption of online tourism purchases: effects of perceived tourism value and personal innovativeness," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(11), pages 1861-1877, June.
    16. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
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