17. PART I DECISION-MAKING AND COMPUTERIZED SUPPORT

16. 30 17. PART I DECISION-MAKING AND COMPUTERIZED SUPPORT

Part I

Business Intelligency: Decision-Making and

Computerized Support

Chapter 2

DecisioDRMaking, Systems

Modeling, and Support

Part II

Part III

DSS

Enterprise Decision Support Systems:

Part IV Intelligent

Collaborative Computing, Enterprise Decision

Decision Support

Support, and Knowledge Management

Systems

Chapter 4 Modeling and Analysis

Chapter 8 Enterprise Information Systems

ChapterS

Business Intelligence: Data Warehousing, Data

Chapter 9

Acquistition, Date

Knowledge

Mining, Business

Management

Analytics (OLAPl, and

Data Visualization

Chapter 6 DSS Development and

Acquisition

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CHAPTER 1

MANAGEMENT SUPPORT SYSTEMS: AN OVERVIEW

with database concepts, resulting in modern business intelligence technologies and tools. These include data warehousing, data acquisition, data mining, online analytical processing (OLAP), and visualization. In Chapter 6, we describe DSS development and acquisition processes, and technologies.

PART III: ENTERPRISE DECISION SUPPORT SYSTEMS:

COLLABORATIVE COMPUTING, ENTERPRISE DECISION SUPPORT, AND

KNOWLEDGE MANAGEMENT

Chapter 7 deals with the support provided to groups working either in the same room or at different locations, especially via the Web. Chapter 8 covers the topic of enterprise decision support systems, including EIS, ERP/ERM, CRM, SCM, BPM, BAM, and PLM. Many decision-making problems require access to enterprise-wide data, policies, rules, and models; the decisions can then affect employees throughout the organization. The last chapter in this part is an in-depth discussion on knowledge management systems (KM), an exciting, enterprise-level DSS that can leverage large gains in productivity. Again, the Web plays a key role.

PART IV: INTELLIGENT SYSTEMS

The fundamentals of artificial intelligence and expert systems are the subject of Chapter 10. Methods of knowledge acquisition, representation, and reasoning are covered in Chapter 11. Advanced intelligent systems including artificial neural networks, genetic algorithms, fuzzy logic, and hybrids are the subjects of Chapter 12. Chapter 13 covers how intelligent systems work over the Internet, including intelligent agents.

PART V: SOCIETAL IMPACTS

Chapter 14 is an introduction to electronic commerce, the role of the Web, and the role that DSS technologies play. Finally, MSS integration, societal impacts, and its future are covered in Chapter 15.

This book's Web site, prenhall.com/turban, contains sup- describing "New Developments in Decision Support plemental textual material organized as Web Chapters. The

Systems and Artificial Intelligence." The Web site also topics of these chapters are listed on the Web site in its Web

contains the book's PowerPoint presentations. Table of Contents. There is at least one chapter

.:. CHAPTER HIGHLIGHTS

 The rate of computerization is increasing rapidly, and so is  Computerized support for managers is often essential for its use for managerial decision support.

the survival of organizations.

 Managerial decision-making has become complex.  A decision support framework divides decision situations Intuition and trial-and-error method\ may not be

into nine categories, depending on the degree of sufficient.

structuredness and managerial activities. Each category is  The time frame for making decisions is shrinking,

supported differently.

whereas its global nature is expanding, necessitating  Structured decisions are supported by standard the development and use of computerized decision

quantitative analysis methods, such as management support systems.

science, and by MIS.

 Management support systems are technologies designed to  Decision support systems (DSS) use data, models, and support managerial work. They can be used independently

possibly knowledge for the solution of semistructured