Authors:
- 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
Part of the book series: International Handbooks on Information Systems (INFOSYS)
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Table of contents (36 chapters)
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Front Matter
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Foundation of Decision Support Systems
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Front Matter
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Decision Support System Fundamentals
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Front Matter
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Multiparticipant Decision Support Systems
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Front Matter
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About this book
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.
Authors and Affiliations
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Center for Organizational and Social Informatics, Faculty of Information Technology, Monash University, Victoria, Australia
Frada Burstein
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Gatton College of Business and Economics, University of Kentucky, Lexington , USA
Clyde Holsapple
Bibliographic Information
Book Title: Handbook on Decision Support Systems 1
Book Subtitle: Basic Themes
Authors: Frada Burstein, Clyde Holsapple
Series Title: International Handbooks on Information Systems
DOI: https://doi.org/10.1007/978-3-540-48713-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-48712-8Published: 11 January 2008
Softcover ISBN: 978-3-662-50103-0Published: 23 August 2016
eBook ISBN: 978-3-540-48713-5Published: 22 January 2008
Series ISSN: 2627-8510
Series E-ISSN: 2627-8529
Edition Number: 1
Number of Pages: L, 854
Topics: Artificial Intelligence, Operations Research/Decision Theory, IT in Business