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The Design Science Research Paradigm

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.  The objective of this research stream 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 design science paradigm knowledge and understanding of a problem domain and its solution are achieved in the building and application of the designed artifact. 

Journal Publications

    1. Hevner, S. March, J. Park, and S. Ram, “Design Science Research in Information Systems,” Management Information Systems Quarterly, Vol. 28, No. 1, March 2004, pp. 75-105.  (Available at http://proquest.umi.com/pqdlink?did=581599791&sid=1&Fmt=2&clientId=20178&RQT=309&VName=PQD )
    2. A. Hevner and S. March, “The Information Systems Research Cycle,” IT Systems Perspective Column, IEEE Computer, Vol. 36, No. 11, November 2003, pp. 111-113. (Available at http://doi.ieeecomputersociety.org/10.1109/MC.2003.1244541 )
    3. S. March, A. Hevner, and S. Ram, “An Agenda for Information Technology Research in Heterogeneous and Distributed Environments,” Information Systems Research, Vol. 11, No. 4, December 2000, pp. 327-341. (Available at
    4. http://dx.doi.org/10.1287/isre.11.4.327.11873)