Decision Support Systems (DSS) is a field that has made rapid progress in establishing itself and maturing into seven key sub-fields. However, there are continued concerns about the relevancy and growing disconnect between academic contributions and professional applications of DSS. This paper serves to review the existing literature, and propose a Research Relevance Framework meant to serve as a guideline to ensure future DSS research has a consistent standard upon which relevance can be assessed.
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