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An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports

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  • Morosan, Cristian

Abstract

The current air travel security challenges call for innovative solutions. Among those solutions, biometric e-gates allow security agencies to allocate their resources efficiently while making travel more fluid in sensitive areas of airports. Using data from a nationwide sample of U.S. air travelers, this study constructed and validated empirically a conceptual model explaining travelers’ intentions to use biometric e-gates in airports. It was found that performance and effort expectancy had the highest impacts, while privacy concerns had low impacts on intentions. Several implications for theory and practice are discussed.

Suggested Citation

  • Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    • Handle: RePEc:eee:jaitra:v:55:y:2016:i:c:p:120-128
    DOI: 10.1016/j.jairtraman.2016.05.005
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    Cited by:

    1. Cristian Morosan, 2021. "An affective approach to modelling intentions to use technologies for social distancing in hotels," Information Technology & Tourism, Springer, vol. 23(4), pages 549-573, December.
    2. Cheong Kim & Francis Joseph Costello & Kun Chang Lee, 2019. "Integrating Qualitative Comparative Analysis and Support Vector Machine Methods to Reduce Passengers’ Resistance to Biometric E-Gates for Sustainable Airport Operations," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
    3. Sobia Zaman & Asif Khurshid, 2020. "Effect of Escalator Use on Mall Love among Adult Pakistani Visitors," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 16(1), pages 16-14.
    4. Kasim, Kabir O. & Winter, Scott R. & Liu, Dahai & Keebler, Joseph R. & Spence, Tyler B., 2021. "Passengers’ perceptions on the use of biometrics at airports: A statistical model of the extended theory of planned behavior," Technology in Society, Elsevier, vol. 67(C).
    5. Sobia Zaman & Asif Khurshid, 2020. "Effect of Escalator Use on Mall Love among Adult Pakistani Visitors," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 16(1), pages 211-237.
    6. Halpern, Nigel & Mwesiumo, Deodat & Suau-Sanchez, Pere & Budd, Thomas & Bråthen, Svein, 2021. "Ready for digital transformation? The effect of organisational readiness, innovation, airport size and ownership on digital change at airports," Journal of Air Transport Management, Elsevier, vol. 90(C).
    7. Angeliki Kitsiou & Charikleia Despotidi & Christos Kalloniatis & Stefanos Gritzalis, 2022. "The Role of Users’ Demographic and Social Attributes for Accepting Biometric Systems: A Greek Case Study," Future Internet, MDPI, vol. 14(11), pages 1-31, November.
    8. Fang Yuan Chen & Chang Yu Liu, 2021. "Air Passengers’ Continued Use Intention of the Airport E-Gate System: A Perspective with Perceived Benefits," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(1), pages 100-100, August.
    9. Jen Sheng Wang, 2021. "Exploring biometric identification in FinTech applications based on the modified TAM," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    10. Tamilmani, Kuttimani & Rana, Nripendra P. & Prakasam, Naveena & Dwivedi, Yogesh K., 2019. "The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2," International Journal of Information Management, Elsevier, vol. 46(C), pages 222-235.
    11. Halpern, Nigel & Mwesiumo, Deodat & Budd, Thomas & Suau-Sanchez, Pere & Bråthen, Svein, 2021. "Segmentation of passenger preferences for using digital technologies at airports in Norway," Journal of Air Transport Management, Elsevier, vol. 91(C).

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