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    A Survey on Energy Efficiency in Information Systems

    Concerns about energy and sustainability are growing everyday involving a wide range of fields. Even Information Systems (ISs) are being influenced by the issue of reducing pollution and energy consumption and new fields are rising dealing with this topic. One of these fields is Green Information Technology (IT), which deals with energy efficiency with a focus on IT. Researchers have faced this problem according to several points of view. The purpose of this paper is to understand the trends and the future development of Green IT by analyzing the state-of-the-art and classifying existing approaches to understand which are the components that have an impact on energy efficiency in ISs and how this impact can be reduced. At first, we explore some guidelines that can help to understand the efficiency level of an organization and of an IS. Then, we discuss measurement and estimation of energy efficiency and identify which are the components that mainly contribute to energy waste and how it is possible to improve energy efficiency, both at the hardware and at the software level.

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    Moderating Effects of Demographics on Green Information System Adoption

    The important role of demographics on technology adoption has been highlighted vastly in the literature. Therefore, this study aims at investigating the moderating role of managers’ demographics in their decision-making process to adopt Green information system (Green IS) from the lens of norm activation theory. With 175 valid questionnaires hand collected from organizations’ decision-makers, the researchers examined the research model and its related hypotheses utilizing the Partial Least Squares (PLS)–Structural Equation Modeling (SEM). The results showed Green IS attitude together with personal norm to be the most influential factors, followed by environmental attitude. In addition, we found that while awareness of consequences significantly impacted personal norms, its explanatory power on personal norms was higher when it was mediated through ascription of responsibility. Regarding the moderator variables, the model explained better the pro-environmental behavioral intention of managers towards the adoption of Green IS among older female and well-educated managers. Contributions of the study are further discussed.