DigitalCommons - Kennesaw State University (Kennesaw State University) · 2009 · 21 citations · 27 references
Open access
BusinessInformation SystemsManagement Information SystemsConsumer BehaviorE-commerce SystemsSocial InfluenceConsumer InvolvementCustomer LoyaltyCustomer SatisfactionE-commerce MarketingOnline Consumer BehaviorTechnology AdoptionConsumer Technology AdoptionLinear RegressionOnline Purchase IntentionPerceived TrustSocial Influence ModelingTechnology AcceptanceTechnology Adoption IntentionTrust In Online Purchasing
This paper examines previous Technology Acceptance Model (TAM)-related studies in order to provide an expanded model that explains consumers ’ acceptance of online purchasing. Our model provides extensions to the original TAM by including constructs such as social influence and voluntariness; it also examines the impact of external variables including trust, privacy, risk, and e-loyalty. We surveyed consumers in the United States and Australia. Our findings suggest that our expanded model serves as a very good predictor of consumers ’ online purchasing behaviors. The linear regression model shows a re-spectable amount of variance explained for Behavioral Intention (R 2 =.627). Suggestions are provided for the practitioner and ideas are presented for future research.
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User Acceptance of Information Technology: Toward A Unified View1
Venkatesh · MIS Quarterly · 2003 · 42.5K citations
Trust and TAM in Online Shopping: An Integrated Model1
Elena Karahanna, Straub · MIS Quarterly · 2003 · 8.2K citations