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A number of research propositions and hypotheses based on conceptual modelling testing biometric applications especially thumb printing, and positive assumptions of value-added CRM principles were investigated from a sample of semi-professional and professionals from the metropolitan section of Pittsburgh, PA. Through principal components and factor analysis via regression, hypothesis-testing results of testing the dependent variable thumbprint and its improvement in security over traditional methods on a number of factor scores-based independent constructs were found to be highly significant. Of the five independent variable constructs of Ease of Use, Current Application, Age/Maturity, Affordability, and Positive Attitude, the most important considerations of positively perceiving biometric technology for enhanced security applications were ease of use and age/maturity in accepting thumb-printing technology. As the development of these security-based technologies continue the initial acceptance seems to be based on positive experiences of such implementations in the workplace.
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Alan D. Smith (2005) studied this question.
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