Structured-case: a methodological framework for building theory in information systems research
European Journal of Information Systems
Applications of Voting Theory to Information Mashups
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Towards collaborative web-based impact assessment
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
A quality inspection method to evaluate e-government sites
EGOV'05 Proceedings of the 4th international conference on Electronic Government
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Peer to PCAST: what does open video have to do with open government?
Information Polity - Special issue on Public Engagement and Government Collaboration: Theories, Strategies and Case Studies
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Impact assessment (IA) is a key method for the legislator to evaluate policies, norms or regulations currently under development. Experts use IA to gather and analyze input from many individuals to obtain clear problem statements, estimations regarding policies etc., and use this information to compare policy alternatives. Currently, the opinions, expertise etc. gathered for IA need to be structured by hand. Thus, the analysis steps of IA are time-consuming, and IA does not scale with the number of persons involved. In this paper, we introduce a collaborative approach for IA. Based on a Web 2.0 architecture, we let a community of individuals derive the potential, downsides and design alternatives of policies collaboratively. Our approach guides individuals through the process of creating structured input. Our approach is fully implemented, and we have evaluated it together with legal experts by means of a small pilot study. Our evaluation indicates that the acceptance of a Web 2.0-based IA application strongly depends on the user interface. More profoundly, it shows that our approach can be an important tool for future IA.