Effects of Facial Biometric System at Universidad Técnica del Norte, Ecuador: An Analysis Using the Technology Acceptance Model (TAM)

Garrido, Fernando; Reascos, Irving; Alvarez, Francisco; Lanchimba, Alex

doi:10.1007/s42979-023-02418-4

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…The theoretical basis for many studies on the acceptance of biometric technologies, similarly the adoption of other digital solutions is the technology acceptance model (TAM) proposed by Davis (1989). Extended TAM is used to analyse the adoption of different types of biometric technologies that are used in areas such as the hotel, restaurant, entertainment, financial and travel industries, as well as self-service machines, smartphones and FinTech applications (Dang et al, 2022;Garrido et al, 2024;J. H. Kim et al, 2023;J.…”

Section: Acceptance Factors Of Biometric Technologiesmentioning

confidence: 99%

Determinants of consumer adoption of biometric technologies in mobile financial applications

Anna Iwona Piotrowska

2024

EBR

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This study aims to identify what determines the use of biometric technologies in the financial applications of banks and FinTechs. The analysis uses data from a survey of 1,000 adult Polish residents. The estimated logit model indicates that the probability of using biometric solutions decreases with age and increases with the level of education and technological sophistication relating to personal innovativeness, experience with biometric technology, and the use of digital technology in both financial and non-financial areas. The work identifies the COVID-19 pandemic as a factor accelerating the adoption of biometric solutions and fostering awareness of the threat of digital technologies invading respondents’ privacy. The study demonstrates the positive impact of trust that phone manufacturers ensure the security of stored funds and data processing on the acceptance of biometric solutions in financial services. This relationship underpins the recommendation to financial institutions in the field of promoting biometric technologies.

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Section: Acceptance Factors Of Biometric Technologiesmentioning

confidence: 99%

Determinants of consumer adoption of biometric technologies in mobile financial applications

Anna Iwona Piotrowska

2024

EBR

View full text Add to dashboard Cite

show abstract

Effects of Facial Biometric System at Universidad Técnica del Norte, Ecuador: An Analysis Using the Technology Acceptance Model (TAM)

Cited by 1 publication

References 16 publications

Determinants of consumer adoption of biometric technologies in mobile financial applications

Determinants of consumer adoption of biometric technologies in mobile financial applications

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