Template:DSR Introduction: Difference between revisions
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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>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."''<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 essays, the Design Science Research method is described and provides guidelines<ref>Hevner AR, March ST, Park J and Ram S (2004) Design Science in Information Systems Research. MIS Quarterly 28(1), 75-105.</ref> for researches. Gregor and Hevner describe in their work how to conduct DSR research and provide some help to researchers including the following topics:</span></span> | </span><span><span class="s1">In many essays, the Design Science Research method is described and provides 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> for researches. Gregor and Hevner describe in their work how to conduct DSR research and provide some help to researchers including the following topics:</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 they are preparing journal articles or other scholarly works</span></span> | ||
Revision as of 07:15, 13 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."[1]
In many essays, the Design Science Research method is described and provides guidelines[1] for researches. Gregor and Hevner describe in their work how to conduct DSR research and provide some help to researchers including the following topics:
- 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. [2]