Consumers Perspectives on Using Biometric Technology with Mobile Banking
General Material Designation
[Thesis]
First Statement of Responsibility
Clark, Rodney Alston
Subsequent Statement of Responsibility
Sharifzadeh, Mohammad
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Walden University
Date of Publication, Distribution, etc.
2021
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
218
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Walden University
Text preceding or following the note
2021
SUMMARY OR ABSTRACT
Text of Note
The need for applying biometric technology in mobile banking is increasing due to emerging security issues, and many banks' chief executive officers have integrated biometric solutions into their mobile application protocols to address these evolving security risks. This quantitative study was performed to evaluate how the opinions and beliefs of banking customers in the Mid-Atlantic region of the United States might influence their adoption of mobile banking applications that included biometric technology. The research question was designed to explore how performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), perceived credibility (PC), and task-technology fit (TTF) affected customer adoption of biometric technology with mobile banking. The conceptual framework extended the unified theory of acceptance and use of technology by including PC and TTF. The responses to a web-based questionnaire that was distributed to 228 mobile banking customers were analyzed using SPSS AMOS (Version 23) to create structural equation models, a multiple linear regression model, and an analysis of variance (ANOVA) model. The results showed that PE, EE, TTF, and FC were the significant factors affecting customer acceptance of biometric technology with mobile banking. SI and PC were nonsignificant factors and had low positive correlations. The results of this study suggest that biometric technology can mitigate the risks associated with security attacks by identifying the customer during the bank transaction. The results also support positive social change by demonstrating how biometric technology can secure banks from fraud, prevent crime, and improve liveness detection.