Generalizing Generalizability in Information Systems Research
Information Systems Research
Design science as nested problem solving
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Soft design science methodology
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Design and natural science research on information technology
Decision Support Systems
Risk-based Confidentiality Requirements Specification for Outsourced IT Systems
RE '10 Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
Design science in information systems research
MIS Quarterly
MIS Quarterly
Model-based qualitative risk assessment for availability of IT infrastructures
Software and Systems Modeling (SoSyM)
Relevance and problem choice in design science
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
REFSQ'12 Proceedings of the 18th international conference on Requirements Engineering: foundation for software quality
Designing technical action research and generalizing from real-world cases
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Detection of naming convention violations in process models for different languages
Decision Support Systems
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Current proposals for combining action research and design science start with a concrete problem in an organization, then apply an artifact to improve the problem, and finally reflect on lessons learned. The aim of these combinations is to reduce the tension between relevance and rigor. This paper proposes another way of using action research in design science, which starts with an artifact, and then tests it under conditions of practice by solving concrete problems with them. The aim of this way of using action research in design science is to bridge the gap between the idealizations made when designing the artifact and the concrete conditions of practice that occur in real-world problems. The paper analyzes the role of idealization in design science and compares it with the requirements of rigor and relevance. It then proposes a way of bridging the gap between idealization and practice by means of action research, called technical action research (TAR) in this paper. The core of TAR is that the researcher plays three roles, which must be kept logically separate, namely of artifact developer, artifact investigator, and client helper. Finally, TAR is compared to other approaches of using action research in design science, and with canonical action research.