A model-based DSS is “an interactive computer-based system composed of a user-dialog system, a model processor and a data management system, which helps decision makers utilize data and quantitative models to solve semi-structured problems” (Forgionne et al., 2005, p. 765).
Published in Chapter:
The Implementation of Large-Scale Decision-Making Support Systems: Problems, Findings, and Challenges
Manual Mora (Autonomous University of Aguascalientes, Mexico), Ovsei Gelman (Universidad Nacional Autónoma de México, Mexico), Guisseppi Forgionne (University of Maryland – Baltimore County, USA), and Francisco Cervantes (Universidad Nacional Autónoma de México, Mexico)
Source Title: Encyclopedia of Decision Making and Decision Support Technologies
Copyright: © 2008|Pages: 11
DOI: 10.4018/978-1-59904-843-7.ch052
Abstract
This article reviews the literature-based issues involved in implementing large-scale decision-making support systems (DMSSs). Unlike previous studies, this review studies holistically three types of DMSSs (model-based decision support systems, executive-oriented decision support systems, and knowledge-based decision support systems) and incorporates recent studies on the simulation of the implementations process. Such an article contributes to the literature by organizing the fragmented knowledge on the DMSS implementation phenomenon and by communicating the factors and stages involved in successful or failed large-scale DMSS implementations to practitioners.
