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Electronic Commerce and Data Privacy 227 Table 2: Goodness-of-Fit Indices for the Initial and Final Models Measure Initial Model Final Model X 2 � (d.f.) 123.543 (38) 49.712 (30) 2 p-value
228 Henderson, Snyder and Byrd Table 5: Hypotheses and Results Hypotheses H1: Higher levels of privacy concerns will result in lower levels of actual e-commerce activity. H2: Higher levels of perceived usefulness result in higher levels of actual e-commerce activity. H3: The more likely a consumer is to purchase merchandise or services via mail, telephone, or over the Internet during the past year, the higher the level of actual e-commerce use. H4: The higher the level of privacy concern, the higher the perceived importance of privacy policies. H5: The higher the level of actual e-commerce activity, the more important a consumer will view an organization’s privacy policy. H6: There is a positive direct relationship between consumer privacy concerns and regulatory preferences. H7a: Privacy concerns are higher if an individual has experienced a prior privacy invasion. H7b: An individual’s actual e-commerce activity decreases if the individual has experienced a prior privacy invasion. H8a: Higher levels of technology knowledge increase the privacy concerns of an individual. H8b: Higher levels of technology knowledge increase the levels of actual e-commerce use. H9a: Gender, age, and education have a direct impact on the level of privacy concerns. H9b: Gender, age, and education have a direct impact on the level of actual e-commerce activity. Results Not supported Supported Supported Supported Not supported Supported Supported Not supported Not supported Supported Age – Supported Education – Supported Gender – Not supported Age – Supported Education – Not supported Gender - Supported individuals tend to use the Internet more than older individuals and males tend to use the Internet more that females. DISCUSSION A specific research objective in this study was to examine the relationship between an individual’s privacy concerns and e-commerce use. More specifically, the purpose was to ascertain whether privacy policies have an impact on actual e-commerce activities and whether privacy concerns impact an individual’s preference for government regulation or industry self-regulation for protection of personal information. To this end, we proposed and tested a model based on Copyright © 2003, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
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Acquisition Editor: Mehdi Khosrow-P
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The Economic and Social Impacts of
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vi Preface E-commerce is not new, t
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viii the e-commerce’s experience
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x In the sixth chapter, Rick Gibson
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TrickE-Business: Malcontents in the
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The Economic and Social Impact of E
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Chapter III Adverse Effects of E-Co
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Adverse Effects of E-Commerce 35 pr
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Adverse Effects of E-Commerce 37 en
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Adverse Effects of E-Commerce 39 En
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The Emerging Need for E-Commerce Ac
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Figure 4: Source: Wang, 1999 Small/
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Managing the Strategic Alignment of
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E-Commerce and Executive Informatio
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Chapter VIII SMEs in South Africa 1
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SMEs in South Africa 123 tions and
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SMEs in South Africa 127 • Contex
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SMEs in South Africa 129 Table 1: P
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SMEs in South Africa 131 • Proble
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SMEs in South Africa 133 Cloete, H.
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Key Indicators for Successful Inter
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Correlations Kendall's tau_b Spearm
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E-Learning is a Social Tool for E-C
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