Handbook on Decision Support Systems 1 Basic Themes /

• Main Authors: Burstein, Frada (Author), Holsapple, Clyde W. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: International Handbooks Information System
• Subjects: Computer science.; Operations research.; Decision making.; Information technology.; Business > Data processing.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.; IT in Business.

 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. 

 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.