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''"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."''<ref name="multiple">Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.</ref>
''"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.)<ref name="multiple">Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.</ref>


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</span><span><span class="s1">In many publications, essays, editorials or books the Design Science Research method is described and they aim to support researchers to conduct DSR projects for example by providing guidelines<ref name="multiple">Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.</ref> or how to extend on existing design knowledge<ref>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).</ref>. Gregor and Hevner provide guidance by describing their <span>understanding and application of DSR concepts including</span>:</span></span>
</span><span><span class="s1">In many publications, essays, editorials or books describing the Design Science Research (DSR) method the authors aim to support researchers to conduct DSR projects for example by providing guidelines<ref name="multiple">Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.</ref><ref>van der Merwe A., Gerber A., Smuts H. (2020) Guidelines for Conducting Design Science Research in Information Systems. In: Tait B., Kroeze J., Gruner S. (eds) ICT Education. SACLA 2019. Communications in Computer and Information Science, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-030-35629-3_11</ref> or how to extend on existing design knowledge<ref>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).</ref> and many more. Gregor and Hevner provide guidance by describing their <span>understanding and application of DSR concepts including</span>:</span></span>
# <span><span class="s1">Appreciate the levels of artifact abstractions that may be DSR contributions</span></span>
# <span><span class="s1">Appreciate the levels of artifact abstractions that may be DSR contributions</span></span>
# <span><span class="s1">Identify appropriate ways of consuming and producing knowledge when they are preparing journal articles or other scholarly works</span></span>
# <span><span class="s1">Identify appropriate ways of consuming and producing knowledge when you are preparing journal articles or other scholarly works</span></span>
# <span><span class="s1">Understand and position the knowledge contributions of their research projects</span></span>
# <span><span class="s1">Understand and position the knowledge contributions of your research projects</span></span>
# <span><span class="s1">Structure a DSR article so that it emphasizes significant contributions to the knowledge base</span></span><span><span class="s1"></span></span>
# <span><span class="s1">Structure a DSR article so that it emphasizes significant contributions to the knowledge base</span></span>
<span><span class="s1">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. <ref>Gregor S and Hevner AR (2013) Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly 37(2), 337-55.</ref></span></span>


<span class="s1">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.<ref>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).</ref></span>
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. <ref>Gregor S and Hevner AR (2013) Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly 37(2), 337-55.</ref>
 
Other researchers propose a set of core dimensions of a Design Science Research project that facilitates 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.<ref>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).</ref>
 
Another important role in DSR is how to specify design theory so 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<ref>Gregor S and Jones D (2007) The Anatomy of a Design Theory. Journal Of The Association For Information Systems 8(5), 312-335.</ref>. Baskerville and Pries-Heje focus on how design 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<ref>Baskerville, R.; Pries-Heje, J.: Explanatory Design Theory, in: Business & Information Systems Engineering, 2, 5, 2010, pp. 271-282.</ref>.
 
In the book, Design Science Research Cases<ref>Brocke, J. vom, Hevner, A., and Mädche, A. (eds.). 2020. Design Science Research. Cases, Progress in IS, Springer International Publishing. https://doi.org/10.1007/978-3-030-46781-4.</ref> several DSR cases are presented by experienced researchers in the field. It offers readers access to real-world DSR studies, together with the authors’ reflections on their research processes. The description of the cases supports researchers in addition to existing introductions to DSR methods and processes.
==References==

Latest revision as of 19:48, 16 August 2020

"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 (DSR) method the authors aim to support researchers to conduct DSR projects for example by providing guidelines[1][2] or how to extend on existing design knowledge[3] and many more. Gregor and Hevner provide guidance by describing their understanding and application of DSR concepts including:

  1. Appreciate the levels of artifact abstractions that may be DSR contributions
  2. Identify appropriate ways of consuming and producing knowledge when you are preparing journal articles or other scholarly works
  3. Understand and position the knowledge contributions of your research projects
  4. 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. [4]

Other researchers propose a set of core dimensions of a Design Science Research project that facilitates 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.[5]

Another important role in DSR is how to specify design theory so 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[6]. Baskerville and Pries-Heje focus on how design 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[7].

In the book, Design Science Research Cases[8] several DSR cases are presented by experienced researchers in the field. It offers readers access to real-world DSR studies, together with the authors’ reflections on their research processes. The description of the cases supports researchers in addition to existing introductions to DSR methods and processes.

References

  1. ↑ 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.
  2. ↑ van der Merwe A., Gerber A., Smuts H. (2020) Guidelines for Conducting Design Science Research in Information Systems. In: Tait B., Kroeze J., Gruner S. (eds) ICT Education. SACLA 2019. Communications in Computer and Information Science, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-030-35629-3_11
  3. ↑ 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).
  4. ↑ Gregor S and Hevner AR (2013) Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly 37(2), 337-55.
  5. ↑ 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).
  6. ↑ Gregor S and Jones D (2007) The Anatomy of a Design Theory. Journal Of The Association For Information Systems 8(5), 312-335.
  7. ↑ Baskerville, R.; Pries-Heje, J.: Explanatory Design Theory, in: Business & Information Systems Engineering, 2, 5, 2010, pp. 271-282.
  8. ↑ Brocke, J. vom, Hevner, A., and Mädche, A. (eds.). 2020. Design Science Research. Cases, Progress in IS, Springer International Publishing. https://doi.org/10.1007/978-3-030-46781-4.
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