A scientific methodology for MIS case studies
MIS Quarterly
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Case Studies for Method and Tool Evaluation
IEEE Software
Experimental validation of new software technology
Lecture notes on empirical software engineering
A Design Science Research Methodology for Information Systems Research
Journal of Management Information Systems
Journal of Management Information Systems
Design and natural science research on information technology
Decision Support Systems
Design Research in Information Systems: Theory and Practice
Design Research in Information Systems: Theory and Practice
Collective taxonomizing: A collaborative approach to organizing document repositories
Decision Support Systems
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
Reconciling theories with design choices in design science research
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
BWW ontology as a lens on IS design theory: extending the design science research roadmap
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
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Design Science Research seeks to develop new generalizable knowledge about design processes, design products, and designed artifacts while solving organizational problems with new work practices based on information technology. However, the ability of Design Science Research to generate knowledge has been challenged by some scholars, due weak connection of the designed artifact to the knowledge base. Design Theories offer a promising approach to codify and generalize some aspects of the knowledge created, in particular that pertaining to design processes and products for a given class of information technology-based solutions. We present a case example to support our argument that Design Theory can be integrated into the context of Design Science Research to make the connection between the design and the knowledge base more transparent, rendering it easier to defend the rigor and generalizablity of the knowledge Design Science Research yields.