“Information technology to support electronic meetings"
Management Information Systems Quarterly
AI Magazine
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.)
Enterprise Ontology: Theory and Methodology
Enterprise Ontology: Theory and Methodology
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
Soft design science methodology
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Design Research in Information Systems: Theory and Practice
Design Research in Information Systems: Theory and Practice
Introduction to the special issue on design science
Information Systems and e-Business Management
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
A framework for classifying design research methods
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
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Several models for the conduct of design science research (DSR) in information systems (IS) have been suggested. There has, however, been little academic investigation of the basic forms of reasoning underlying these models, namely: deduction, induction and abduction. We argue that a more thorough investigation of these reasoning logics allows for a more comprehensive understanding of the DSR models and the building of information systems design theories (ISDTs). In particular, the question of whether prescriptive design knowledge can be "theory driven" by descriptive kernel theory can be addressed. First, we show that it is important to distinguish between a context of discovery and a context of justification in theory building and to consider the fundamental forms of reasoning in this light. We present an idealized model of the hypothetico-deductive method, showing how progress is achieved in science. This model includes the contexts of discovery and justification and the matching forms of reasoning. Second, we analyze frameworks for IS DSR and ISDT in comparison with this idealized model. This analysis suggests that few frameworks explicitly refer to the underlying forms of reasoning. Illustrative case studies with first-hand accounts of how IS DSR occurs in practice lend support to the conception of the idealized model. We conclude that work on methodological models for IS DSR and ISDT building would be given a firmer base and some differences in opinion resolved if there was explicit reflection on the underlying contexts of both discovery and justification and the forms of reasoning implicated, as in our idealized model.