Determining the Intention to Use Biometric Devices

James, Tabitha L.; Pirim, Taner; Boswell, Katherine; Reithel, Brian J.; Barkhi, Reza

doi:10.4018/joeuc.2006070101

Cited by 75 publications

(21 citation statements)

References 28 publications

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“…In the field of mobile payment, Shin (2010) suggested that convenience consists of easy handling, fast processing of payment transactions and easy learnability of the payment procedures. Several studies have demonstrated that convenience is a critical factor in determining the use of innovative technology and security systems (James et al. , 2006; Miltgen et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Shiau

Liu

Zhou

et al. 2023

INTR

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PurposeFacial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.Design/methodology/approachThis study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.FindingsResearch results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.Originality/valueTo the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.

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Section: Literature Reviewmentioning

confidence: 99%

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Shiau

Liu

Zhou

et al. 2023

INTR

View full text Add to dashboard Cite

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“…However, the original TAM model has been criticized for its generalizability and failure to sufficiently predict in specific contexts and circumstances. That has provided an impetus for studies of BT to extend and adapt the model (Al-Harby, 2010; Alsamydai, 2014; Ami-Narh, Aziale, & Akanferi, 2014; Holden & Karsh 2010; James, Pirim, Boswell, Reithel, & Barkhi, 2006;Miltgen et al, 2013;Morosan, 2012b;Tassabehji & Kamala, 2009;Sumner, 2007). Adding additional factors or combining the model with other acceptance models can enhance the TAM specificity and explanatory utility (Szajna, 1996).…”

Section: The Technology Acceptance Modelmentioning

confidence: 99%

Biometric technologies at music festivals: An extended technology acceptance model

Norfolk

O’Regan

2020

Journal of Convention & Event Tourism

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The purpose of this paper is to gain a better understanding of user acceptance of Biometric Technologies (BT) at outdoor music festivals in the United Kingdom. While research on such technologies, such as facial recognition is limited in the events context, they have already been deployed at music festivals to deal with issues of security, safety and crowd management. Using an extended Technology Acceptance Model (TAM), a self-administered questionnaire was completed by young adults in the United Kingdom who had previously been to a music festival. The study found factors such as privacy, reliability and accuracy did not have a significant impact on user acceptance. Other factors, such as trust, compatibility and convenience were found to have a significant positive impact on perceived ease of use, perceived usefulness and attitude to use. As the findings indicate that accuracy and privacy do not impact BT acceptance, the paper explores how organizers can be transparent and accountable as to their intentions to use BT, so as to justify the usefulness of BT to attendees, artists, regulators and authorities.

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“…Accordingly, this paper emphasized the probable cause of success and failure factors that might influence passengers' repeat use intentions of biometric security, such as the perceived benefits, perceived risks, and initial use intention. Most previous studies on users' use intention of biometrics dealt with ease of use and usefulness [20,21], and other prior research approached the issue from the perspectives of innovation and security [22]. However, not many studies have attempted to analyze the problem from a diverse perspective, including the potential influence of perceived benefits, perceived risks, and initial use intention at the same time.…”

Section: Introductionmentioning

confidence: 99%

The Intention of Passengers towards Repeat Use of Biometric Security for Sustainable Airport Management

2020

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More and more these days, airport security is having to adapt to a greater number of passengers while keeping within finer margins of precision when it comes to clearing passengers for security clearance. Therefore, analyzing potential upgrades in the security process and adopting them in a way that does not impact passenger experience has become a key activity for airport managers. One viable technological solution that is not only effective but also efficient is biometric security. This technology allows for passengers to safely clear security based on their unique biometric features. Despite its promise, airports and passengers alike are slow to adopt its use. Additionally, there were few studies that revealed insights into passengers’ intentions toward repeat use of biometric security. Hence, in our novel attempts to uncover the underlying reasons, we implemented a study on passengers’ initial and repeat usage intention based on perceived benefits and risks of biometric security technology. Based on 327 survey responses, we employed the use of SEM to extract first- and second-order constructs before evaluating our hypotheses on a finally accepted model. To be aligned with the novel attempt of this research, the results showed that both the perceived benefits and risks have a significant impact on passenger’s initial and repeat use intention of biometric security. Therefore, for all practitioners engaged in sustainable airport management, strong consideration from this research should help in creating value for passengers while mitigating the risks of adopting biometric security within airport security settings.

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Determining the Intention to Use Biometric Devices

Cited by 75 publications

References 28 publications

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Biometric technologies at music festivals: An extended technology acceptance model

The Intention of Passengers towards Repeat Use of Biometric Security for Sustainable Airport Management

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