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The Implementation of Large-Scale Decision-Making Support Systems: Problems, Findings, and Challenges

The Implementation of Large-Scale Decision-Making Support Systems: Problems, Findings, and Challenges
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Author(s): 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)
Copyright: 2008
Pages: 11
Source title: Encyclopedia of Decision Making and Decision Support Technologies
Source Author(s)/Editor(s): Frederic Adam (University College Cork, Ireland)and Patrick Humphreys (London School of Economics, UK)
DOI: 10.4018/978-1-59904-843-7.ch052

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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.

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