Systems development in information systems research
Journal of Management Information Systems - Special issue on management support systems
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Empirical research in information systems: the practice of relevance
MIS Quarterly - Special issue on intensive research in information systems
Password Memorability and Security: Empirical Results
IEEE Security and Privacy
A Design Science Research Methodology for Information Systems Research
Journal of Management Information Systems
Building theory in the sciences of the artificial
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
The true cost of unusable password policies: password use in the wild
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design Research in Information Systems: Theory and Practice
Design Research in Information Systems: Theory and Practice
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
A multi-grounded design research process
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
Design science research and the core of information systems
DESRIST'12 Proceedings of the 7th international conference on Design Science Research in Information Systems: advances in theory and practice
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The discourse about differences between behavioral and design science still attains wide interest in the information systems research community. While design-oriented research is repeatedly subject to criticism on account of lacking transparency and rigor, behavioral research is fighting against the accusation of little relevance. It would be highly desirable to overcome the shortcomings of design science by using existing theories, empirical knowledge, etc. within the design of an artifact. For that purpose, we present a framework that shows how different ways of applying empirical knowledge can put the research of design scientists on a better grounding and thus improve the rigor of design science. Specifically we point out, how design science can be performed more rigorously on the basis of our framework by empirically motivating, guiding, evaluating, and analyzing design science research. To illustrate the application of our framework, we will provide an example from the domain of information security.