Handbook on Decision Support Systems 1: Basic ThemesFrada Burstein, Clyde W. Holsapple Springer Science & Business Media, 2008. gada 22. janv. - 854 lappuses 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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1.5. rezultāts no 81.
... technologies and techniques for helping people faced with the often difficult task of making decisions. The seventy ... technological dimensions, operational and strategic viewpoints. The chapters include first-hand experiences, best ...
... technologies that can form a backbone for multiparticipant decision support systems, followed by a discussion of motivational issues that need to be addressed if participants are indeed going to share knowledge with each other. A major ...
... technologies. Auroop R. Ganguly is a scientist with the Computational Sciences and Engineering Division at the Oak Ridge National Laboratory (ORNL), as well as Adjunct Professor in the Department of Industrial and Information ...
... technologies in support of knowledge management, as well as multiple-perspective and valuebased decision-making. http://business.auburn.edu/~halldia Edward Hartono, a doctoral graduate of the University of Kentucky, is Assistant ...
... Technologies in Management in the Fisher College of Business at the Ohio State University. Dr. Jacob's research interests are in the areas of artificial intelligence, data quality, decision support systems, and electronic commerce. His ...
Saturs
Systems for Supporting Marketing Decisions | 395 |
The Nature of Organizational Decision Support Systems | 415 |
CHAPTER 44 | 430 |
CHAPTER 22 | 433 |
Developing Practical Decision Support Tools Using Dashboards | 454 |
CHAPTER 23 | 469 |
Decision Support Systems in Forest Management | 499 |
CHAPTER 24 | 511 |
CHAPTER 8 | 141 |
CHAPTER 9 | 163 |
VARIATIONS | 170 |
Integrated Document Management for Decision Support 191 | 190 |
CHAPTER 11 | 207 |
CHAPTER 12 | 231 |
CHAPTER 13 | 259 |
SpreadsheetBased Decision Support Systems | 277 |
CHAPTER 15 | 299 |
WebBased Decision Support | 315 |
CHAPTER 17 | 341 |
Predicting Facilitating and Managing Knowledge Evolution | 345 |
A Motivational Model of Knowledge Sharing | 355 |
CHAPTER 19 | 371 |
Artificial Neural Networks in Decision Support Systems | 557 |
DSS Experience in Africa Cases from Egypt | 559 |
Data Mining and Data Fusion for Enhanced Decision Support | 581 |
CHAPTER 56 | 603 |
CHAPTER 28 | 609 |
Decision Support Based on Process Mining 637 | 636 |
Towards Decision Support for Participatory Democracy | 651 |
CHAPTER 30 | 659 |
CHAPTER 31 | 697 |
DECISION SUPPORT | 718 |
CHAPTER 34 | 763 |
Systems for Strategic Learning 759 | 829 |
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Handbook on Decision Support Systems 1: Basic Themes Frada Burstein,Clyde W Holsapple Priekšskatījums nav pieejams - 2016 |