Handbook on Decision Support Systems 1: Basic Themes

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Frada Burstein, Clyde Holsapple
Springer Science & Business Media, Jan 22, 2008 - Computers - 854 pages
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Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.

 

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Contents

The DecisionMaking Process in a Complex Situation
3
Decisions and Knowledge
21
Decision Making and Sensemaking
54
Data Quality and Decision Making
65
Decision Makers and Their Need for Support
83
Decision Support Through Knowledge Management
103
Decision Support Systems A Historical Overview
121
Reference Disciplines of Decision Support Systems
141
GDSS Parameters and Benefits
390
The Nature of Organizational Decision Support Systems
415
Organizational Decision Support Systems Parameters and Benefits
433
Negotiation Support and Enegotiation Systems
469
Intelligent Decision Support Systems
509
Advisory Systems to Support Decision Making
511
Using Autonomous Software Agents in Decision Support Systems
528
Artificial Neural Networks in Decision Support Systems
557

Decision Support System Fundamentals
160
DSS Architecture and Types
163
Integrated Document Management for Decision Support
190
Databases and Data Warehouses for Decision Support
207
Model Management and Solvers for Decision Support
231
Online Analytical Processing OLAP for Decision Support
259
SpreadsheetBased Decision Support Systems
277
MultiCriteria Decision Support
299
WebBased Decision Support
315
Multiparticipant Decision Support Systems
339
Collaborative Technologies
341
A Motivational Model of Knowledge Sharing
355
The Nature of Group Decision Support Systems
371
Data Mining and Data Fusion for Enhanced Decision Support
581
Decision Support via Text Mining
609
Decision Support Based on Process Mining
636
Adaptive Decision Support Systems via Problem Processor Learning
659
A LearningEnhanced Adaptive Decision Support System Framework
697
Effects of ComputerBased Decision Support
717
Benefits of Decision Support Systems
718
Involvement and DecisionMaking Satisfaction with a Decision Aid The Influence of Social Multimedia Gender and Playfulness
731
Decision Support Systems Failure
763
Could the Use of a KnowledgeBased System Lead to Implicit Learning?
791
Group and Organizational Learning Effects from Multiparticipant DSS Usage
812
Keyword Index
833
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Page xl - Tchobanoglous is a professor emeritus of environmental engineering in the Department of Civil and Environmental Engineering at the University of California at Davis.