Biometrics Technology: Understanding Dynamics Influencing Adoption for Control of Identification Deception Within Nigeria

One of the objectives of any government is the establishment of an effective solution to significantly control crime. Identity fraud in Nigeria has generated global attention and negative publicity toward its citizens. The research problem addressed in this study was the lack of understanding of the...

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Bibliographic Details
Main Author: Nwatu, Gideon U.
Format: Others
Language:en
Published: ScholarWorks 2011
Subjects:
Online Access:https://scholarworks.waldenu.edu/dissertations/921
https://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=1920&context=dissertations
Description
Summary:One of the objectives of any government is the establishment of an effective solution to significantly control crime. Identity fraud in Nigeria has generated global attention and negative publicity toward its citizens. The research problem addressed in this study was the lack of understanding of the dynamics that influenced the adoption and usability of biometrics technology for reliable identification and authentication to control identity deception. The support for this study was found in the theoretical framework of the technology acceptance model (TAM). The purpose of the study was to provide scholarly research about the factors that influenced the adoption of biometrics technology to reliably identify and verify individuals in Nigeria to control identity fraud. The mixed-method descriptive and inferential study used interview and survey questionnaires for data collection. The binary logistic regression, point bi-serial correlation, independent samples t test, and content analyses were performed using SPSS version 18, Microsoft Excel spreadsheet 2007, and Nvivo 7.0 software. The results from the findings indicated statistical correlation between adopt biometrics technology and three other variables, ease of use (r = .38, n = 120, p <.01), perceived usefulness (ri = .41, n = 120, p < .01), and awareness (ri = .33, ni = 120, p < .01). The implications for social change include leveraging biometrics technology for recognition, confirmation, and accountability of individuals to prevent identity scheming, ensure security, and control the propagation of personal information. Beyond these immediate benefits, this research presents an example that other developing countries may use to facilitate the adoption of biometrics technology.