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100301s2008 gw | s |||| 0|eng d |
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|a 9783540487135
|9 978-3-540-48713-5
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|a 10.1007/978-3-540-48713-5
|2 doi
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|a 006.3
|2 23
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|a Handbook on Decision Support Systems 1
|h [electronic resource] :
|b Basic Themes /
|c edited by Frada Burstein, Clyde W. Holsapple.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a L, 854 p. 133 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a International Handbooks on Information Systems,
|x 2627-8529
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|a 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.
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520 |
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|a 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.
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650 |
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|a Artificial intelligence.
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650 |
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|a Operations research.
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|a Business information services.
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|a Artificial Intelligence.
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4 |
|a Operations Research and Decision Theory.
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650 |
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4 |
|a IT in Business.
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700 |
1 |
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|a Burstein, Frada.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Holsapple, Clyde W.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783540487128
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776 |
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8 |
|i Printed edition:
|z 9783662501030
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830 |
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|a International Handbooks on Information Systems,
|x 2627-8529
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-540-48713-5
|z Texto Completo
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-SXCS
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950 |
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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