Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective

• The primary goal is to measure the effects of self-determination factors.
• Smart Green IT is the enabler of innovation to environmental problems.
• Our findings show that identified regulation and external regulation have significant effect on attitude.
• Knowledge about Smart Green IT facilitates environmental action.

The purpose of this study is to examine the determinants of Smart Green IT adoption behavior. As opposed to IT adoption behavior, Smart Green IT adoption behavior has several distinct characteristics that are not typically found in general technologies. This study introduces self-determination theory to explain the causal relationship between users' motivations and Smart Green IT adoption behavior. The results show that eco-technological knowledge has a positive and significant impact on intrinsic motivation, integrated regulation, identified regulation, and introjected regulation. Intrinsic motivation has a positive and significant effect on four extrinsic motivations. Although the direct effect of intrinsic motivation on attitude was not significant, it did exert an effect on attitude that was mediated by identified regulation and external regulation. Our findings also show that two extrinsic motivations were significant. Attitude toward Smart Green IT use behavior was the primary predictor of continuous intention to use Smart Green IT. The effects of social influence and external regulations on continuous intention to use Smart Green IT were also significant.