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Gauging acceptability of governmental intervention in terms of smart card technology

Gauging acceptability of governmental intervention in terms of smart card technology Authentication and security safeguards within the auto identification industry provide the basic background for identification and successful authentication in B2B, B2C, and G2B transactions. The four hypotheses were generated from a review of the literature and derived from the model presented in the paper using linear regression techniques to test hypotheses using factor score-based constructs, with the dependent variable, "Do you feel that the government should mandate smart cards?" These hypotheses are to be tested through an application of PCA (principal component analysis) and factor analyses techniques. In essence, the results also suggest that, although there were three statistically significant independent constructs or groupings via the factor analyses, there was no evidence that the participants surveyed were willing to endorse governmental monitoring or invention in terms of mandating smart card-related technologies, regardless of their intended CRM benefits to the consumer. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Government, an International Journal Inderscience Publishers

Gauging acceptability of governmental intervention in terms of smart card technology

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1740-7494
eISSN
1740-7508
Publisher site
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Abstract

Authentication and security safeguards within the auto identification industry provide the basic background for identification and successful authentication in B2B, B2C, and G2B transactions. The four hypotheses were generated from a review of the literature and derived from the model presented in the paper using linear regression techniques to test hypotheses using factor score-based constructs, with the dependent variable, "Do you feel that the government should mandate smart cards?" These hypotheses are to be tested through an application of PCA (principal component analysis) and factor analyses techniques. In essence, the results also suggest that, although there were three statistically significant independent constructs or groupings via the factor analyses, there was no evidence that the participants surveyed were willing to endorse governmental monitoring or invention in terms of mandating smart card-related technologies, regardless of their intended CRM benefits to the consumer.

Journal

Electronic Government, an International Journal – Inderscience Publishers

Published: Jan 1, 2005

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