Model-driven decision support systems: Concepts and research directions
Decision support systems, DSS concepts, Quantitative models, Research questions
Decision Support Systems
In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support. This category of DSS is continuing to evolve, but research can resolve a variety of behavioral and technical issues that impact system performance, acceptance and adoption. This article includes a brief survey of prior research. It focuses on model-driven DSS built using decision analysis, optimization, and simulation technologies; implementation using spreadsheet and web technologies; issues associated with the user interface; and behavioral and technical research questions. © 2005 Elsevier B.V. All rights reserved.
Original Publication Date
DOI of published version
Power, Daniel J. and Sharda, Ramesh, "Model-driven decision support systems: Concepts and research directions" (2007). Faculty Publications. 2628.