2019
DOI: 10.1016/j.jairtraman.2019.101720
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Acceptance of biometric technology in airport check-in

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Cited by 48 publications
(30 citation statements)
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“…The main types are proximity, pressure, optical and motion sensors ( Halpern et al, 2021 ; Zmud et al, 2018 ). Airport initiatives involving sensors are covered extensively in transportation literature, for instance, regarding biometrics ( del Rio et al, 2016 ; Haas, 2004 ; Kalakou et al, 2015 ; Morosan, 2016 ; Negri et al, 2019 ), people tracking ( Adey, 2004 ; Bouma et al, 2016 ) and queue prediction ( Chiti et al, 2018 ).…”
Section: Study Context and Hypothesesmentioning
confidence: 99%
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“…The main types are proximity, pressure, optical and motion sensors ( Halpern et al, 2021 ; Zmud et al, 2018 ). Airport initiatives involving sensors are covered extensively in transportation literature, for instance, regarding biometrics ( del Rio et al, 2016 ; Haas, 2004 ; Kalakou et al, 2015 ; Morosan, 2016 ; Negri et al, 2019 ), people tracking ( Adey, 2004 ; Bouma et al, 2016 ) and queue prediction ( Chiti et al, 2018 ).…”
Section: Study Context and Hypothesesmentioning
confidence: 99%
“…The extent to which airports address organisational challenges associated with transforming their business is therefore expected go some way to determining digital change ( Halpern et al, 2021 ). Despite this, organisational challenges associated with digital change have been overlooked in transportation literature where instead, the focus tends to be on technologies, for instance in terms of the use of them at airports or use cases for the future ( Adey, 2004 ; Bouma et al, 2016 ; Chiti et al, 2018 ; del Rio, 2016 ; Eschen et al, 2018 ; Haas, 2004 ; Halpern and Regmi, 2013 ; Lee et al, 2014 ; Martin-Domingo and Martín, 2016 ; Straker and Wrigley, 2018 ; Wattanacharoensil and Schuckert, 2015 ); issues associated with passenger acceptance of them ( Gures et al, 2018 ; Morosan, 2016 ; Negri et al, 2019 ; Wittmer, 2011 ); or their impact on passenger behaviour ( Castillo-Manzano and López-Valpuesta, 2013 ), airport service quality ( Brida et al, 2016 ; Chen et al, 2015 ; Pitt et al, 2002 ) or airport capacity ( Kalakou et al, 2015 ). Knowledge of the organisational challenges remains largely anecdotal – described in the reports of industry associations or consulting firms advising airports how to prepare for digital transformation ( ACI, 2017 ; Boutin et al, 2016 ; Pell and Blondel, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the survey participants were provided with information on biometric security in advance and requested to answer the questions based on their direct and indirect experience of the service. Except for demographic survey questions, the construct items were measured with a seven-point Likert scale that ranged from "strongly disagree (1)" to "strongly agree (7)." The mean and standard deviation values of the constructs, as well as the literature where the scales were adopted from, are shown in Table 2.…”
Section: Survey Questionsmentioning
confidence: 99%
“…Furthermore, even though biometrics could be applied across the whole spectrum of the boarding process performed at airports from the perspective of enhancing operational efficiency for sustainable airport management [7,92], this study just focused on the security procedure. Biometric technologies could mitigate laborious tasks of presenting identification documents and flight tickets at each of the airport scenes in the same manner as at the security checkpoint.…”
Section: Limitations and Suggestions For Future Studiesmentioning
confidence: 99%
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