Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines
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 be...
| Main Authors: | , |
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| Format: | Journal Article |
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Association for Information Systems
2012
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| Online Access: | http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1629&context=jais http://hdl.handle.net/20.500.11937/38595 |
| _version_ | 1848755363245981696 |
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| author | Arnott, D. Pervan, Graham |
| author_facet | Arnott, D. Pervan, Graham |
| author_sort | Arnott, D. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:55:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-38595 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:55:07Z |
| publishDate | 2012 |
| publisher | Association for Information Systems |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-385952017-11-02T03:25:04Z Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines Arnott, D. Pervan, Graham design science business intelligence group support systems decision support systems data warehousing executive information systems review 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/38595 http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1629&context=jais Association for Information Systems restricted |
| spellingShingle | design science business intelligence group support systems decision support systems data warehousing executive information systems review Arnott, D. Pervan, Graham Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title | Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title_full | Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title_fullStr | Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title_full_unstemmed | Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title_short | Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines |
| title_sort | design science in decision support systems research: an assessment using the hevner, march, park, and ram guidelines |
| topic | design science business intelligence group support systems decision support systems data warehousing executive information systems review |
| url | http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1629&context=jais http://hdl.handle.net/20.500.11937/38595 |