Introduction
"Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science. The behavioral science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior. The design-science paradigm seeks to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts. Both paradigms are foundational to the IS discipline, positioned as it is at the confluence of people, organizations, and technology." (Hevner et. al.)[1]
In many publications, essays, editorials or books describing the Design Science Research method the authors aim to support researchers to conduct DSR projects for example by providing guidelines[1] or how to extend on existing design knowledge[2] and many more. Gregor and Hevner provide guidance by describing their understanding and application of DSR concepts including:
- Appreciate the levels of artifact abstractions that may be DSR contributions
- Identify appropriate ways of consuming and producing knowledge when they are preparing journal articles or other scholarly works
- Understand and position the knowledge contributions of their research projects
- Structure a DSR article so that it emphasizes significant contributions to the knowledge base
Their focal contribution is the DSR knowledge contribution framework with two dimensions based on the existing state of knowledge in both the problem and solution domains for the research opportunity under study. In addition, they propose a DSR communication schema with similarities to more conventional publication patterns, but which substitutes the description of the DSR artifact in place of a traditional results section. [3]
Other researchers propose core dimensions of a Design Science Research (DSR) project that facilitate effective capture of the most relevant aspects of a DSR project to efficiently plan and communicate key considerations and conceptualizations of a DSR project. In this work, the authors represent six dimensions in the form of a DSR grid, a one-page visualization of the DSR project that is adjustable to the specific purpose for using the concept.[4]
Another important role in DSR is how tospecify design theoryso that it can be communicated, justified, and developed cumulatively. In the essay of Gregor and Jones they focus on the structural components or anatomy of design theories in IS[5]. Baskerville and Pries-Heje focus on howdesign theories are explanatory.In their work, they demonstrate that design theories deliver functional explanations with a simple and elegant structure explaining generalized solution components by the related generalized requirements[6].
References
- ↑ 1.0 1.1 Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.
- ↑ vom Brocke, J., Winter, R., Hevner, A., Maedche, A. (2020), Accumulation and Evolution of Design Knowledge in Design Science Research – A Journey Through Time and Space, in: Journals of the Association for Information Systems (JAIS), 2020, forthcoming (ABDC_2016: A*; ABS: 4; ISI: 3.487; ISI: 2.109; VHB_3: A).
- ↑ Gregor S and Hevner AR (2013) Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly 37(2), 337-55.
- ↑ vom Brocke, J., Maedche, A. (2019), The DSR Grid: Six Core Dimensions for Effectively Planning and Communicating Design Science Research Projects, in: Electronic Markets, Volume 29, Issue 3, pp 379–385 (ABDC: A; ABS: 2; ISI: 2.121; VHB: B).
- ↑ Gregor S and Jones D (2007) The Anatomy of a Design Theory. Journal Of The Association For Information Systems 8(5), 312-335.
- ↑ Baskerville, R.; Pries-Heje, J.: Explanatory Design Theory, in: Business & Information Systems Engineering, 2, 5, 2010, pp. 271-282.