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Decision Support and Business Intelligence Systems

ISBN: 9780130461063 | 0130461067
Edition: 8th
Format: Paperback
Publisher: Prentice Hall
Pub. Date: 1/1/2007

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SummaryTable of Contents
Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Todays networked computer systems enable executives to use information in radically new ways, to make dramatically more effective decisions -- and make those decisions more rapidly. Decision Support Systems and Intelligent Systems, Seventh Edition is a comprehensive, up-to-date guide to todays revolutionary management support system technologies, and how they can be used for better decision making. In this thoroughly revised edition, the authors go far beyond traditional decision support systems, focusing far more coverage on Web-enabled tools, performance analysis, knowledge management, and other recent innovations. The authors introduce each significant new technology, show how it works, and offer practical guidance on integrating it into real-world organizations. Examples, products, services, and exercises are presented throughout, and the text has been revised for improved clarity and readability. New and enhanced coverage includes: state-of-the-art data mining, OLAP, expert system, and neural network software; revamped coverage of knowledge management; and a far greater emphasis on the use of Web technologies throughout. Also covered in detail: data warehousing, including access, analysis, visualization, modeling, and support. This edition also contains DSS In Action boxes presenting real business scenarios for the use of advanced management support technology. Decision Support Systems and Intelligent Systems, Seventh Edition is supported by a Web site containing additional readings, relevant links, and other supplements.
Prefacexxi
PART I: DECISION-MAKING AND COMPUTERIZED SUPPORT
1(98)
Management Support Systems: An Overview
2(34)
... MORE
Opening Vignette: Harrah's Makes a Great Bet
3(2)
Managers and Decision-Making
5(2)
Managerial Decision-Making and Information Systems
7(2)
Managers and Computer Support
9(1)
Computerized Decision Support and the Supporting Technologies
10(1)
A Framework for Decision Support
11(4)
The Concept of Decision Support Systems
15(3)
Group Support Systems
18(1)
Enterprise Information Systems
18(4)
Knowledge Management Systems
22(1)
Expert Systems
23(1)
Artificial Neural Networks
24(1)
Advanced Intelligent Decision Support Systems
24(2)
Hybrid Support Systems
26(3)
Plan of the Book
29(7)
Case Application 1.1 ABB Automation Makes Faster and Better Decisions with DSS
34(2)
Decision-Making Systems, Modeling, and Support
36(63)
Opening Vignette: Standard Motor Products Shifts Gears into Team-Based Decision-Making
37(2)
Decision-Making: Introduction and Definitions
39(2)
Systems
41(6)
Models
47(2)
Phases of the Decision-Making Process
49(2)
Decision-Making: The Intelligence Phase
51(5)
Decision-Making: The Design Phase
56(13)
Decision-Making: The Choice Phase
69(1)
Decision-Making: The Implementation Phase
70(2)
How Decisions Are Supported
72(6)
Personality Types, Gender, Human Cognition, and Decision Styles
78(7)
The Decision-Makers
85(14)
Case Application 2.1 Clay Process Planning at IMERYS: A Classical Case of Decision-Making
91(1)
Case Application 2.2 Clay Process Planning at IMERYS: A Classical Case of Decision-Making
92(2)
Case Application 2.3 Key Grip Selects Film Projects by an Analytical Hierarchy Process
94(4)
Case Application 2.4 MMS Running Case: Summary and Conclusion
98(1)
PART II: DECISION SUPPORT SYSTEMS
99(260)
Decision Support Systems: An Overview
100(44)
Opening Vignette: Southwest Airlines Flies in the Face of Competition through DSS
101(1)
DSS Configurations
102(1)
What Is a DSS?
103(3)
Characteristics and Capabilities of DSS
106(3)
Components of DSS
109(1)
The Data Management Subsystem
110(5)
The Model Management Subsystem
115(4)
The User Interface (Dialog) Subsystem
119(5)
The Knowledge-Based Management Subsystem
124(1)
The User
124(2)
DSS Hardware
126(1)
DSS Classifications
127(9)
Summary
136(8)
Case Application 3.1 The Advantage of PetroVantage: Business Intelligence/DSS Creates an E-Marketplace
140(2)
Case Application 3.2 FedEx Tracks Customers Along with Packages
142(2)
Modeling and Analysis
144(67)
Opening Vignette: DuPont Simulates Rail Transportation System and Avoids Costly Capital Expense
145(1)
MSS Modeling
146(5)
Static and Dynamic Models
151(1)
Certainty, Uncertainty, and Risk
152(2)
Influence Diagrams
154(4)
MSS Modeling with Spreadsheets
158(3)
Decision Analysis of a Few Alternatives (Decision Tables and Decision Trees)
161(3)
The Structure of MSS Mathematical Models
164(2)
Mathematical Programming Optimization
166(7)
Multiple Goals, Sensitivity Analysis, What-If, and Goal Seeking
173(6)
Problem-Solving Search Methods
179(2)
Heuristic Programming
181(3)
Simulation
184(5)
Visual Interactive Modeling and Visual Interactive Simulation
189(4)
Quantitative Software Packages
193(5)
Model Base Management
198(13)
Case Application 4.1 Clay Process Planning at IMERYS: A Classical Case of Decision Making
208(3)
Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization
211(94)
Opening Vignette: Information Sharing a Principal Component of the National Strategy for Homeland Security
212(1)
The Nature and Sources of Data
213(3)
Data Collection, Problems, and Quality
216(10)
The Web/Internet and Commercial Database Services
226(2)
Database Management Systems in Decision Support Systems/Business Intelligence
228(1)
Database Organization and Structures
229(6)
Data Warehousing
235(13)
Data Marts
248(1)
Business Intelligence/Business Analytics
249(8)
Online Analytical Processing (OLAP)
257(6)
Data Mining
263(15)
Data Visualization, Multidimensionality, and Real-Time Analytics
278(9)
Geographic Information Systems
287(4)
Business Intelligence and the Web: Web Intelligence/Web Analytics
291(14)
Case Application 5.1 Data Warehousing and OLAP at Cabela's
300(1)
Case Application 5.2 Blue Cross and Blue Shield of Minnesota's Pain-Free CRM Saves the Day Through Data Integration and Planning
301(1)
Case Application 5.3 Cluster Analysis for Data Mining
302(3)
Decision Support System Development
305(54)
Opening Vignette: Osram Sylvania Thinks Small, Strategizes Big---Develops the InfoNet HR Portal System
306(3)
Introduction to DSS Development
309(1)
The Traditional System Development Life Cycle
310(17)
Alternative Development Methodologies
327(4)
Prototyping: The DSS Development Methodology
331(3)
Change Management
334(5)
DSS Technology Levels and Tools
339(2)
DSS Development Platforms
341(1)
DSS Development Tool Selection
341(5)
Team-Developed DSS
346(1)
End User Developed DSS
347(3)
Putting The DSS Together
350(9)
Case Application 6.1 Clay Process Planning at IMERYS: A Classical Case of Decision-Making
355(4)
PART III: COLLABORATION, COMMUNICATION, ENTERPRISE DECISION SUPPORT SYSTEMS, AND KNOWLEDGE MANAGEMENT
359(178)
Collaborative Computing Technologies: Group Support Systems
361(47)
Opening Vignette: Chrysler Scores with Groupware
362(3)
Group Decision-Making, Communication, and Collaboration
365(2)
Communication Support
367(2)
Collaboration Support: Computer-Supported Cooperative Work
369(5)
Group Support Systems
374(5)
Group Support Systems Technologies
379(1)
Groupsystems Meetingroom and Online
380(2)
The GSS Meeting Process
382(3)
Distance Learning
385(9)
Creativity and Idea Generation
394(14)
Case Application 7.1 Pfizer's Effective and Safe Collaborative Computing Pill
404(2)
Case Application 7.2 Dow Chemical Creates the World's Largest Classroom
406(2)
Enterprise Information Systems
408(79)
Opening Vignette: The United States Military Turns to Portals
409(1)
Enterprise Information Systems: Concepts and Definitions
410(1)
The Evolution of Executive and Enterprise Information Systems
411(4)
Executives' Roles and Information Needs
415(2)
Characteristics and Capabilities of Executive Support Systems
417(5)
Comparing and Integrating EIS and DSS
422(3)
EIS, Data Access, Data Warehousing, Olap, Multidimensional Analysis, Presentation, and the Web
425(7)
Soft Information in Enterprise Systems
432(1)
Organizational DSS
433(2)
Supply and Value Chains and Decision Support
435(7)
Supply Chain Problems and Solutions
442(5)
Materials Requirement Planning (MRP), Enterprise Resource Planning/Enterprise Resource Management (ERP/ERM), and Supply Chain Management (SCM) Systems
447(10)
Customer Relationship (Resource) Management (CRM) Systems
457(8)
Emerging Enterprise Information Systems: Product Lifecycle Management (PLM), Business-Process Management (BPM) and Business Activity Monitoring (BAM)
465(10)
Frontline Decision Support Systems
475(2)
The Future of Executive and Enterprise Information Systems
477(10)
Case Application 8.1 How Levi's Got Its Jeans into Wal-Mart
483(1)
Case Application 8.2 McDonald's Enterprise Information Effort: McBusted!
484(2)
Case Application 8.3 Mohegan Sun's CRM Hits the Jackpot
486(1)
Knowledge Management1
487(50)
Opening Vignette: Siemens Knows What It Knows Through Knowledge Management
488(2)
Introduction to Knowledge Management
490(5)
Organizational Learning and Transformation
495(2)
Knowledge Management Initiatives
497(1)
Approaches to Knowledge Management
498(5)
Information Technology in Knowledge Management
503(5)
Knowledge Management Systems Implementation
508(7)
Roles of People in Knowledge Management
515(6)
Ensuring Success of Knowledge Management
521(16)
Case Application 9.1 DaimlerChrysler EBOKs with Knowledge Management
532(2)
Case Application 9.2 Chevron's Knowledge Management Initiatives Cook with Gas
534(3)
PART IV: INTELLIGENT DECISION SUPPORT SYSTEMS
537(206)
Artificial Intelligence and Expert Systems: Knowledge-Based Systems
538(37)
Opening Vignette: Intelligent Systems in KPN Telecom and Logitech
539(1)
Concepts and Definitions of Artificial Intelligence
540(2)
Evolution of Artificial Intelligence
542(2)
The Artificial Intelligence Field
544(5)
Basic Concepts of Expert Systems
549(3)
Applications of Expert Systems
552(2)
Structure of Expert Systems
554(3)
How Expert Systems Work
557(3)
Problem Areas Suitable for Expert Systems
560(1)
Benefits and Capabilities of Expert Systems
561(3)
Problems and Limitations of Expert Systems
564(1)
Expert System Success Factors
565(1)
Types of Expert Systems
566(2)
Expert Systems on the Web
568(7)
Case Application 10.1 Gate Assignment Display System
574(1)
Knowledge Acquisition, Representation, and Reasoning
575(74)
Opening Vignette: Development of a Real-Time Knowledge-Based System at Eli Lilly
576(1)
Concepts of Knowledge Engineering
577(2)
Scope and Types of Knowledge
579(4)
Methods of Knowledge Acquisition from Experts
583(12)
Knowledge Acquisition from Multiple Experts
595(2)
Automated Knowledge Acquisition from Data and Documents
597(5)
Knowledge Verification and Validation
602(2)
Representation of Knowledge
604(12)
Reasoning in Rule-Based Systems
616(8)
Explanation and Metaknowledge
624(3)
Inferencing with Uncertainty
627(6)
Expert Systems Development
633(7)
Knowledge Acquisition and the Internet
640(9)
Advanced Intelligent Systems
649(51)
Opening Vignette: Household Financial's Vision Speeds Loan Approvals with Neural Networks
650(2)
Machine-Learning Techniques
652(2)
Case-Based Reasoning
654(9)
Basic Concept of Neural Computing
663(6)
Learning in Artificial Neural Networks
669(5)
Developing Neural Network-Based Systems
674(5)
Genetic Algorithms Fundamentals
679(5)
Developing Genetic Algorithm Applications
684(1)
Fuzzy Logic Fundamentals
685(5)
Developing Integrated Advanced Systems
690(10)
Case Application 12.1 Konica Automates a Help Desk with Case-Based Reasoning
698(1)
Case Application 12.2 Maximizing the Value of the John Deere & Company Pension Fund
699(1)
Intelligent Systems over the Internet
700(43)
Opening Vignette: Spartan Uses Intelligent Systems to Find the Right Person and Reduce Turnover
701(1)
Web-Based Intelligent Systems
702(2)
Intelligent Agents: An Overview
704(3)
Characteristics of Agents
707(2)
Why Intelligent Agents?
709(2)
Classification and Types of Agents
711(3)
Internet-Based Software Agents
714(7)
DSS Agents and Multi-Agents
721(4)
Semantic Web: Representing Knowledge for Intelligent Agents
725(7)
Web-Based Recommendation Systems
732(5)
Managerial Issues of Intelligent Agents
737(6)
PART V: IMPLEMENTING MSS IN THE E-BUSINESS ERA
743(105)
Electronic Commerce
744(56)
Opening Vignette: E-Commerce Provides Decision Support to Hi-Life Corp.
745(2)
Overview of E-Commerce
747(6)
E-Commerce Mechanisms: Auctions and Portals
753(6)
Business-to-Consumer Applications
759(6)
Market Research, e-CRM, and Online Advertising
765(9)
B2B Applications
774(3)
Collaborative Commerce
777(2)
Intrabusiness, Business-to-Employees, and People-to-People EC
779(1)
E-Government, E-Learning, and Customer-to-Customer EC
780(5)
M-Commerce, L-Commerce, and Pervasive Computing
785(2)
E-Commerce Support Services
787(5)
Legal and Ethical Issues in E-Commerce
792(8)
Case Application 14.1 Amazon.com: The King of E-Tailing
798(2)
Integration, Impacts, and the Future of Management-Support Systems
800(48)
Opening Vignette: Elite Care Supported by Intelligent Systems
801(1)
System Integration: An Overview
802(4)
Models of MSS Integration
806(6)
Intelligent DSS
812(3)
Intelligent Modeling and Model Management
815(1)
Integration with the Web, Enterprise Systems, and Knowledge Management
816(6)
The Impacts of MSS: An Overview
822(1)
MSS Impacts on Organizations
823(4)
Impact on Individuals
827(1)
Decision-Making and the Manager's Job
828(1)
Issues of Legality, Privacy, and Ethics
829(5)
Intelligent Systems and Employment Levels
834(1)
Internet Communities
835(3)
Other Societal Impacts and the Digital Divide
838(2)
The Future of Management-Support Systems
840(8)
Case Application 15.1 Hybrid Intelligent System for Developing Marketing Strategy
847(1)
Glossary848(16)
References864(57)
Index921

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