Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
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
A Design Science Research Methodology for Information Systems Research
Journal of Management Information Systems
Theories: For Academics and Practitioners
Information Systems Management
Design Science Research Methods and Patterns: Innovating Information and Communication Technology
Design Science Research Methods and Patterns: Innovating Information and Communication Technology
Design and natural science research on information technology
Decision Support Systems
Unraveling challenges in collaborative design: a literature study
CRIWG'09 Proceedings of the 15th international conference on Groupware: design, implementation, and use
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
A sustainable and affordable support system for rural healthcare delivery
Decision Support Systems
A framework for families of domain-specific modelling languages
Software and Systems Modeling (SoSyM)
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Design science (DS) is increasingly a popular approach for research with a problem-solving perspective The literature on DS has exploded in the past few years creating a lively discussion emphasizing the balance between rigor and relevance in research, particularly within the information systems field However, there is still inconsistency with regards to the terminology, the underlying philosophy and the strategy to follow when doing DS The field(s) into which DS can contribute or in which it can be placed is also an open issue The advent of special issues, tracks and conferences on the subject is a sign of this and perhaps a suggestion that it constitutes a field on its own This paper reports a survey on the most influential literature on DS and provides an analysis of it in order to facilitate the discussion, clarify the terminology and contribute to making DS more actionable for researchers.