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Green IS offers the promise for IS scholars to make a significant contribution to reducing greenhouse gas emissions and mitigating the effects of global climate change and other environmental problems. While significant achievements have been made in shaping Green IS as a subfield in the IS discipline, the emergence of Green IS is still by far too slow, given the magnitude of the problem. Against this background a panel was organized at ICIS 2012 in order to discuss future directives for the IS discipline. This article, co-authored by the panelists, reports on the major issues raised by this panel. First, the article gives an account of major achievements in the field of Green IS. Second, it presents five specific directives which we agree are important for the future of our discipline.

In order to evaluate the contribution of visual memory to problems in the development of motor coordination, 9- to 13-year-old boys who were clumsy were tested on a graphic reproduction task under two delay conditions. Their performances were compared with those of control children. Individual geometric patterns were presented as a whole or sequentially, and children reproduced these patterns immediately after the inspection period or after a delay of 15 s. There was no difference in the accuracy of the reproductions of the two groups on immediate recall. After the 15-s delay, the reproductions of children who were clumsy were markedly less accurate, whereas those of the control children were unchanged. Although children who were clumsy completed their reproductions more quickly, there was no correlation between their accuracy scores and response duration. It was concluded that a difference in visual rehearsal strategies may distinguish children who are clumsy from their peers.

Social networking sites such as MySpace and Facebook thrive on energetic social interaction, but the factors that assure this are not well understood. There is a lack of theory that can describe and predict the successful adoption of new social computing systems. This paper introduces the Social Software Performance Model, and uses it to interpret the evolution and usage of social networking sites. Drawing from socio-technical systems theory, task technology fit, and structuration theory, this model identifies the components of social software, and describes their role in the evaluation and adoption of these systems. The results of three studies are presented, providing initial empirical evidence for the model.

Besides providing a benefit for future study of SNS, reliable, valid measures are urgently needed due to the unprecedented scale of participation in these sites. SNS have memberships that number in the tens of millions, drawing from countries around the globe [7].It can be argued SNS are the largest examples of information systems that have ever existed. Some information systems theories, such as the Technology Acceptance Model, have been applied to social computing applications [40], but these efforts show that considerable modification needs to be carried out to traditional information systems theory to yield reliable results. So while information systems theory holds much promise in the analysis of social computing, the differences between systems developed for a commercial enterprise versus one for the general population require a reconsideration and re-validation of both theory and related measures. Given the complexity of social computing, most measures must be focused on particular tools and affordances of the SNS rather than the SNS as a whole.In this study we focus on privacy management tools and the nature of their use.