A rational design process: How and why to fake it
IEEE Transactions on Software Engineering
Systems development in information systems research
Journal of Management Information Systems - Special issue on management support systems
Design and natural science research on information technology
Decision Support Systems - Special issue on WITS '92
Requirements engineering: frameworks for understanding
Requirements engineering: frameworks for understanding
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Exploring Requirements: Quality Before Design
Exploring Requirements: Quality Before Design
A Reference Model for Requirements and Specifications
IEEE Software
Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
Requirements Engineering
Design Science, Engineering Science and Requirements Engineering
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Design science in information systems research
MIS Quarterly
Design science methodology: principles and practice
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Rationality of cross-system data duplication: a case study
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
A design theory and modeling technique for the design of knowledge-intensive business services
Proceedings of the 2012 iConference
Taking a project management perspective on design science research
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
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
Using design science research to develop a modeling technique for service design
DESRIST'12 Proceedings of the 7th international conference on Design Science Research in Information Systems: advances in theory and practice
Technical action research as a validation method in information systems design science
DESRIST'12 Proceedings of the 7th international conference on Design Science Research in Information Systems: advances in theory and practice
Process Evolution in a Distributed Process Execution Environment
International Journal of Information System Modeling and Design
Using empirical knowledge and studies in the frame of design science research
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
Extending document models to incorporate semantic information for complex standards
Computer Standards & Interfaces
Supporting navigation accessibility requirements in web engineering methods
Journal of Web Engineering
On thinging things and serving services: technological mediation and inseparable goods
Ethics and Information Technology
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Design science emphasizes the connection between knowledge and practice by showing that we can produce scientific knowledge by designing useful things. However, without further guidelines, aspiring design science researchers tend to identify practical problems with knowledge questions, which may lead to methodologically unsound research designs. To solve a practical problem, the real world is changed to suit human purposes, but to solve a knowledge problem, we acquire knowledge about the world without necessarily changing it. In design science, these two kinds of problems are mutually nested, but this nesting should not blind us for the fact that their problem-solving and solution justification methods are different. This paper analyzes the mutual nesting of practical problems and knowledge problems, derives some methodological guidelines from this for design science researchers, and gives an example of a design science project following this problem nesting.