Description
Springer Handbook on Decision Support Systems 1 Basic Themes by Frada Burstein, Clyde W. Holsapple
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._x000D_ Table of contents : - _x000D_
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._x000D_