A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
A scientific methodology for MIS case studies
MIS Quarterly
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
Relational database: a practical foundation for productivity
Communications of the ACM
Design and natural science research on information technology
Decision Support Systems
Introduction to the special issue on design science
Information Systems and e-Business Management
Design theory in practice: making design science research more transparent
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Citizen science 2.0: data management principles to harness the power of the crowd
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
MIS Quarterly
ESCIENCEW '11 Proceedings of the 2011 IEEE Seventh International Conference on e-Science Workshops
Conceptual modeling principles for crowdsourcing
Proceedings of the 1st international workshop on Multimodal crowd sensing
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Despite increased acceptance of design science research, concerns about rigor and relevance permeate the research community. One way to increase rigor is by codifying design knowledge into design theories. While this idea is gaining popularity, it is unclear how to approach design theorizing in a scientifically rigorous, yet practically relevant, way. In this paper, we address one particularly murky issue in design science research: reconciling theoretical abstractness with practicality. Since many design theories are moderately abstract, a gap exists between theoretical propositions and concrete issues faced in practice. We present a case study of real information system (IS) development where these issues become evident. Based on the identified issues we provide four theory-driven recommendations including specification of transformational rules, developing or imagining a real IS artifact, specification of boundary conditions and over-specification of the theoretical core. The consequences of these recommendations for design science theorizing are discussed.