Handbook on Decision Support Systems 1 : Basic Themes
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
1 online resource : v.: digital
9783540487135, 3540487131
271735277
Foundation of Decision Support Systems
The Decision-Making Process in a Complex Situation
Decisions and Knowledge
Decision Making and Sensemaking
Data Quality and Decision Making
Decision Makers and Their Need for Support
Decision Support Through Knowledge Management
Decision Support Systems: A Historical Overview
Reference Disciplines of Decision Support Systems
Decision Support System Fundamentals
DSS Architecture and Types
Integrated Document Management for Decision Support
Databases and Data Warehouses for Decision Support
Model Management and Solvers for Decision Support
Online Analytical Processing (OLAP) for Decision Support
Spreadsheet-Based Decision Support Systems
Multi-Criteria Decision Support
Web-Based Decision Support
Multiparticipant Decision Support Systems
Collaborative Technologies
A Motivational Model of Knowledge Sharing
The Nature of Group Decision Support Systems
GDSS Parameters and Benefits
The Nature of Organizational Decision Support Systems
Organizational Decision Support Systems: Parameters and Benefits
Negotiation Support and E-negotiation Systems
Intelligent Decision Support Systems
Advisory Systems to Support Decision Making
Using Autonomous Software Agents in Decision Support Systems
Artificial Neural Networks in Decision Support Systems
Data Mining and Data Fusion for Enhanced Decision Support
Decision Support via Text Mining
Decision Support Based on Process Mining
Adaptive Decision Support Systems via Problem Processor Learning
A Learning-Enhanced Adaptive Decision Support System Framework
Effects of computer-Based Decision Support
Benefits of Decision Support Systems
Involvement and Decision-Making Satisfaction with a Decision Aid: The Influence of Social Multimedia, Gender, and Playfulness
Decision Support Systems Failure
Could the Use of a Knowledge-Based System Lead to Implicit Learning?
Group and Organizational Learning Effects from Multiparticipant DSS Usage