Design science has been an important strategy in decision support systems (DSS) research since the field’s inception in the early 1970s. Recent reviews of DSS research have indicated a need to improve its quality and relevance. DSS design-science research has an important role in this improvement because design-science research can engage industry and the profession in intellectually important projects. The Hevner, March, Park, and Ram’s (HMPR) guidelines for the conduct and assessment of information systems design-science research, published in MIS Quarterly in 2004, provides a vehicle for assessing DSS design-science research. This paper presents research that used bibliometric content analysis to apply the HMPR guidelines to a representative sample of 362 DSS design-science research papers in 14 journals. The analysis highlights major issues in DSS research that need attention: research design, evaluation, relevance, strategic focus, and theorizing.
Arnott, David and Pervan, Graham
"Design Science in Decision Support Systems Research: An Assessment using the Hevner, March, Park, and Ram Guidelines,"
Journal of the Association for Information Systems: Vol. 13
, Article 1.
Available at: https://aisel.aisnet.org/jais/vol13/iss11/1