%0 Journal Article
%T THE EFFECT OF CONTROL VARIABLES WHEN USING TECHNOLOGY ACCEPTANCE MODEL TO PREDICT CONSUMERS¡¯ INTENTIONS TO BUY ONLINE
%A Iconaru Claudia
%J Academic Research International
%D 2012
%I 
%X The Technology Acceptance Model (TAM) was employed in order to predict consumers¡¯ intentions to buy online. Initial TAM latent variables were used and indicators were adapted for the purpose of the study. Measurements¡¯ reliability and validity are tested in the study. What differentiates this study from other TAM-based studies is the control for the effects of socio-demographic variables: gender, education and income. TAM initial associations were tested for statistical significance, when the effects of gender, education and income were controlled for. The results of the PLS-based structural equation modeling indicate that TAM original associations among variables are significant, regardless of the socio-demographic variables employed in the model. This study once more confirms the predictive power of TAM in explaining and predicting online buying behavior.
%K technology acceptance model
%K online buying
%K structural equation modeling
%K control variables.
%U http://www.savap.org.pk/journals/ARInt./Vol.3(1)/2012(3.1-18).pdf