e-Shopping acceptance: A qualitative and meta-analytic review

• Inconsistencies and contradictions in the way researchers have adapted TAM to e-shopping.
• An extended TAM for e-shopping is tested meta-analytically.
• TAM with attitude is better than basic TAM when studying e-shopping acceptance.
• After attitude, enjoyment is the stronger direct predictor of e-shopping acceptance.
• Usefulness, risk, trust, and social influence follow in that order.

A literature review of consumers’ acceptance of e-shopping reveals that trust, perceived risk, enjoyment, and social influence are the concepts most often used to adapt the technology acceptance model to e-shopping. This study presents and discusses measures of these concepts, their interrelationships, and their relationships with the technology acceptance model (TAM) nomological network. An integrated model of e-shopping acceptance including the above-mentioned concepts is elaborated and tested using meta-analytical path analysis. While this integrated TAM contributes significantly to the understanding of e-shopping, the time may have now come to place more emphasis on achieving a better understanding of the techno-marketing antecedents of its components.