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The objectives of this study were to examine the predictors of green technology adoption behavior and to establish its foundation from motivational perspective. We adopted Self-Determination Theory to develop our Green IS adoption model. The proposed research model was tested by partial least squares. The study provided some key findings. First, eco-technological knowledge had a positive and significant effect on intrinsic motivation (i.e. perceived pleasurability), integrated (i.e. perceived altruism), identified (i.e. perceived importance), and introjected regulation (ego-involvement). Second, intrinsic motivation (i.e. perceived pleasurability) had a positive effect on integrated (i.e. perceived altruism and perceived usefulness), identified (i.e. perceived importance), and introjected regulation (ego-involvement). Moreover, identified (i.e. perceived importance) and integrated regulation (i.e. perceived usefulness) had positive effects on attitude toward Green IS use behavior. Furthermore, attitude toward Green IS use behavior was the main predictor of Green IS use intention. Surprisingly, the results showed that there was no direct relationship between Green IS behavior intention and actual Green IS use, whereas there was a positive relationship between facilitating conditions and actual Green IS use.
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