Abstract
The goal of design science research is the generation of novel artifacts. Thereby DSR projects generate valuable design knowledge, thus, underscoring the importance to codify of design knowledge for achieving scientific progress. The research community observes that DSR projects generate a large amount of design knowledge, but the developed knowledge often ends as a single success story. To counter this situation, we analyze the variety of design knowledge representation forms that have been published in the AIS Senior Scholars’ Basket in design science research papers. Based on our systematic literature review, we identify prevalent ways of design knowledge representations. We provide as a central contribution how to effectively communicate design knowledge through the derivation of recommendations that provides practical guidance to support researchers and practitioners in making design knowledge contributions reusable and applicable.
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Acknowledgements
We would like to thank Antonia Tolzin for her support during the paper analysis. The second author acknowledges funding from the Basic Research Fund (GFF) of the University of St.Gallen.
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Dickhaut, E., Janson, A., Marco Leimeister, J. (2022). Analyzing Design Knowledge Representation in Design Science Research and Deriving Recommendations to Support Design Knowledge Codification. In: Drechsler, A., Gerber, A., Hevner, A. (eds) The Transdisciplinary Reach of Design Science Research. DESRIST 2022. Lecture Notes in Computer Science, vol 13229. Springer, Cham. https://doi.org/10.1007/978-3-031-06516-3_31
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