Eight key issues for the decision support systems discipline
This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1,093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of e...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier Publications
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/26910 |
| _version_ | 1848752118865854464 |
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| author | Arnott, David Pervan, Graham |
| author_facet | Arnott, David Pervan, Graham |
| author_sort | Arnott, David |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1,093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of each part of the project yields eight key issues that the DSS field should address for it to continue toplay an important part in information systems scholarship. These eight issues are: the relevance of DSS research, DSS research methods and paradigms, the judgement and decision-making theoretical foundations of DSS research, the role of the IT artifact in DSS research, the funding of DSS research,inertia and conservatism of DSS research agendas, DSS exposure in general "A" journals, and discipline coherence. The discussion of each issue is based on the data derived from the article content analysis. A number of suggestions are made for the improvement of DSS research. These relate tocase study research, design science, professional relevance, industry funding, theoretical foundations,data warehousing, and business intelligence. The suggestions should help DSS researchers constructhigh quality research agendas that are relevant and rigorous. |
| first_indexed | 2025-11-14T08:03:33Z |
| format | Journal Article |
| id | curtin-20.500.11937-26910 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:03:33Z |
| publishDate | 2008 |
| publisher | Elsevier Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-269102017-09-13T16:08:47Z Eight key issues for the decision support systems discipline Arnott, David Pervan, Graham business intelligence group support systems data - warehousing Decision support systems executive information systems review This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1,093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of each part of the project yields eight key issues that the DSS field should address for it to continue toplay an important part in information systems scholarship. These eight issues are: the relevance of DSS research, DSS research methods and paradigms, the judgement and decision-making theoretical foundations of DSS research, the role of the IT artifact in DSS research, the funding of DSS research,inertia and conservatism of DSS research agendas, DSS exposure in general "A" journals, and discipline coherence. The discussion of each issue is based on the data derived from the article content analysis. A number of suggestions are made for the improvement of DSS research. These relate tocase study research, design science, professional relevance, industry funding, theoretical foundations,data warehousing, and business intelligence. The suggestions should help DSS researchers constructhigh quality research agendas that are relevant and rigorous. 2008 Journal Article http://hdl.handle.net/20.500.11937/26910 10.1016/j.dss.2007.09.003 Elsevier Publications restricted |
| spellingShingle | business intelligence group support systems data - warehousing Decision support systems executive information systems review Arnott, David Pervan, Graham Eight key issues for the decision support systems discipline |
| title | Eight key issues for the decision support systems discipline |
| title_full | Eight key issues for the decision support systems discipline |
| title_fullStr | Eight key issues for the decision support systems discipline |
| title_full_unstemmed | Eight key issues for the decision support systems discipline |
| title_short | Eight key issues for the decision support systems discipline |
| title_sort | eight key issues for the decision support systems discipline |
| topic | business intelligence group support systems data - warehousing Decision support systems executive information systems review |
| url | http://hdl.handle.net/20.500.11937/26910 |