Organizations are under increasing pressure to be environmentally responsible and are expanding the scope of their sustainability efforts into the disciplines of information technology (IT) and information systems (IS). The result is in an increased discussion of the need to mitigate the negative impact of IT on the environment while leveraging the positive role of green IS as a potential source of environmental solutions. Despite the obvious benefits of adopting green IS, the strategic diffusion of these systems is low as the main determinants of adoption remain uncertain. A number of studies have established that support from organizational decision makers plays a key role in green IS adoption decisions. A better understanding of the determinants of green IS adoption by organizational decision makers may therefore assist in predicting future adoption behavior and in an increase in the actual adoption of green IS. The purpose of this quantitative, non-experimental, explanatory predictive study was to empirically examine factors that may predict how the intentions of organizational decision makers (such as IT managers) to adopt green IS are formed. The theory of planned behavior served as a foundational model guiding this study. A survey of 101 IT managers employed by North American organizations was conducted to ascertain the presence of any relationships between the independent and dependent variables. Regression analysis provided empirical evidence that the set of independent variables (attitude, subjective norm, and perceived behavioral control) collectively accounted for 83% of the variance in IT managers’ intention to adopt green IS within their organization. The results of this study showed that these variables, especially attitude and perceived behavioral control, are effective predictors of IT managers’ intention to adopt green IS. Further, the findings suggested that proactively addressing the factors that influence IT managers’ attitude and perceived behavioral control could result in an increase in the actual adoption of green IS.
|Subjects||Management; Information technology; Sustainability|
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