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dc.contributor.authorArnott, David
dc.contributor.authorPervan, Graham
dc.date.accessioned2017-01-30T12:55:55Z
dc.date.available2017-01-30T12:55:55Z
dc.date.created2009-03-05T00:55:00Z
dc.date.issued2008
dc.identifier.citationArnott, David and Pervan, Graham. 2008. Eight key issues for the decision support systems discipline. Decision Support Systems 44 (3): pp. 657-672.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26910
dc.identifier.doi10.1016/j.dss.2007.09.003
dc.description.abstract

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.

dc.publisherElsevier Publications
dc.subjectbusiness intelligence
dc.subjectgroup support systems
dc.subjectdata - warehousing
dc.subjectDecision support systems
dc.subjectexecutive information systems
dc.subjectreview
dc.titleEight key issues for the decision support systems discipline
dc.typeJournal Article
dcterms.source.volume44
dcterms.source.number3
dcterms.source.startPage657
dcterms.source.endPage672
dcterms.source.issn01679236
dcterms.source.titleDecision Support Systems
curtin.note

The link to the journal’s home page is: http://www.elsevier.com/wps/find/journaldescription.cws_home/505540/description#description

curtin.note

Copyright © 2008 Elsevier Ltd. All rights reserved

curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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