Handbook On Decision Support Systems
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Handbook on Decision Support Systems 2
Author: Frada Burstein
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-22
As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives. These range from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into ten major sections that novices and experts alike will refer to for years to come.
Handbook on Decision Support Systems 1
Author: Frada Burstein
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-22
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.
Handbook on Decision Support Systems
Decision Support Systems (DSS) are computer-based tools that help people analyse information and make decisions. They use data from various sources, like databases and spreadsheets, to provide insights and recommendations. DSS are valuable in business and management, where they assist in complex decision-making processes by processing large amounts of data quickly and accurately. They can simulate scenarios, perform calculations, and visualise data to help users understand trends and predict outcomes. By integrating advanced analytics and modelling techniques, DSS enables users to evaluate different options and choose the best course of action based on objective data analysis. This makes DSS essential tools for organisations seeking to improve decision-making efficiency and effectiveness across various industries. This book includes some of the vital pieces of work being conducted across the world, on various topics related to decision support systems. It brings forth some of the most innovative concepts and elucidates the unexplored aspects of decision support systems. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.