A framework for classifying design research methods

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Abstract

Design Science Research (DSR) methods are much debated by the IS community with regard to outcome and research process. This debate creates ambiguity for the novice researchers in terms of selecting appropriate DSR methods. To address this ambiguity, this essay proposes a framework for classifying the DSR methods by providing conceptual clarity about DSR outcome and DSR research process. The proposed framework creates a taxonomy differentiating between outcomes as a priori formulated or emergent through contextual interaction, likewise, viewing the research process as deductive or abductive. The taxonomy provides guidance to the researchers before embarking any DSR projects. The essay contributes to the on-going discussion on utilization of the DSR methods in DSR projects. © 2013 Springer-Verlag.

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Harnesk, D., & Thapa, D. (2013). A framework for classifying design research methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7939 LNCS, pp. 479–485). https://doi.org/10.1007/978-3-642-38827-9_40

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