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 76.
... Figure 1. Modern decision support is inherently multi-disciplinary and involves innovation and creativity to ... Figure 1. Decision support systems – indispensable elements at the core of the IS field Figure 2. Trend of publications ...
... Figure 1 (except, perhaps, for data processing and MIS), it has published more DSS-oriented research over the years than any other journal in the IS field. Yet, even today, we sometimes see DSS referred to as a specialty topic in the IS ...
... Figure 1, ranging from conceptual to technical to behavioral. They address all three of the major issues shown in Figure 1, from foundations for DSS development, to managing DSS usage, to impacts of (and on) DSSs. Figure 2. Trend of ...
... Figure 3 illustrates the growing importance of KM in DSS research literature. Well into the 1990s, the proportion of ... Figure 2. The rise of knowledge management. Figure 1. Linking the motions of decision support and knowledge Figure 3 ...
... A Knowledge-Intensive Endeavor From his observations. Figure 3. Knowledge management as a reference discipline for decision support system research Figure 10. Example of a multiparticipant decision maker including a. 24 Clyde W. Holsapple.
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 |