The last ten years has seen a surge of interest in design science research in information systems, organizations, process modelling and software engineering. In this talk I present a framework for design science that shows how in design science research, we iterate over designing new artifacts for a context, and empirically investigating these artifacts in this context. To be relevant, the artifacts should potentially contribute to organizational goals, and to be empirically sound, research to validate new artifacts should provide insight into the effects of using these artifacts in an organizational context. The logic of both of these activities, design and empirical research, is that of rational decision making. I show how this logic can be used to structure our technical and empirical research goals and questions, as well as how to structure reports about our technical or empirical research. This gives us checklists for the design cycle used in technical research and for the empirical cycle used in empirical research. Finally, I will discuss in more detail what the role of theories in design science research is, and how we use theory to state research questions and to generalize the research results.