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. |
No grāmatas satura
1.–5. rezultāts no 93.
... create emergent properties. By a complex situation (problem), we mean one that may be difficult to define and may ... created which will achieve our desired objective. In anticipating the results of our decision we are in fact making a ...
... creates a large-scale change throughout the system. Examples of this are the stock market crashes in 1929 and 1984, the Cambrian explosion in which hundreds of new species were created in a relatively short time from an evolutionary ...
... create a representation of the external world. Unfortunately, this is not the case. How we view a situation, what we look for and how we interpret what we see depend heavily on our past experience, expectations, concerns and goals. The ...
... created by our own limitations in thinking, language and perspective or viewpoints. This is why networks and teams ... creating a 10 Alex Bennet and David Bennet.
... creating a set of iterative actions whose consequences will cause a move from the current situation (a) toward a ... create another rule which prevents it from reoccurring. While this is a good approach for routine, simple problems ...
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 |