Handbook on Decision Support Systems 1

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.

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.

Basic reference work for decision support system (DSS) concepts, methods, technologies, trends, and issues Authored by well-known scholars and practitioners from the DDS community Includes supplementary material: sn.pub/extras

Contenu
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.