http://www.bibsonomy.org/burst/user/p_ansell/experimental_methodsBibSonomy BuRST Feed for /user/p_ansell/experimental_methods2008-12-04T22:41:46+01:00Bioinformatics Workflow Systemshttp://www.bibsonomy.org/bibtex/253e552528c82f370ff284f3b5db03f1b/p_ansellp_ansell2007-05-04T05:44:34+02:00business_environment design_science design_artifact technology_infrastructure search_strategies Information_Systems_research_methodologies creativity experimental_methods <span style="color:#555555;">Alan R <a href="http://www.bibsonomy.org/author/Hevner">Hevner</a> and Salvatore T <a href="http://www.bibsonomy.org/author/March">March</a> and Jinsoo <a href="http://www.bibsonomy.org/author/Park">Park</a> and Sudha <a href="http://www.bibsonomy.org/author/Ram">Ram</a> </span><em>MIS Quarterly</em><em>28(1):75--106</em>(<em>2004</em>)Fri May 04 05:44:34 CEST 2007MIS Quarterly175--106Design Science in Information Systems Research282004business_environment design_science design_artifact technology_infrastructure search_strategies Information_Systems_research_methodologies creativity experimental_methods 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. Our objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research. In the designscience paradigm knowledge and understanding of a problem domain and its solution are achieved in the building and application of the designed artifact. Three recent exemplars in the research literature are used to demonstrate the application of these guidelines. We conclude with an analysis o f the challenges of performing high-quality design-science research in the context of the broader IS community.