Quality Information and Knowledge,9780130101419

Quality Information and Knowledge

by ; ;
Edition: 1st
ISBN13: 9780130101419
ISBN10: 0130101419
Format: Paperback
Pub. Date: 1998-11-01
Publisher(s): PRENTICE HALL
List Price: $38.00

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Summary

Shows how information can be assessed, evaluated, managed, & promulgated to make your business more responsive, efficient, and effective. Illustrates these precepts with real-world examples of companies that have faced million-dollar losses due to poor data management, as well as industry leaders who have prospered through Total Data Quality Management.

Table of Contents

Chapter 1 Why Quality Information and Knowledge?
1(8)
Two Propositions
3(1)
Create Knowledge with Quality Information
4(2)
Book Organization
6(3)
Chapter 2 Manage Information as a Product
9(24)
Social and Business Impacts
10(3)
Social Impacts
10(1)
Business Impacts
11(1)
Customer Service
11(1)
Management Support
12(1)
Bottom Line
12(1)
Fundamental Concepts
13(4)
Information versus Data
13(1)
From Product to Information Manufacturing
13(1)
Information Manufacturing Systems
14(1)
The Information System Development Cycle
15(1)
The Total Data Quality Management (TDQM) Cycle
16(1)
Dimensions of Information Quality
16(1)
The Information Product Manager
17(12)
Managing Information as a Product -- The Four Principles
19(2)
Managing Information as a Byproduct Will Not Work
21(1)
What Is Managed?
21(1)
How Is It Managed?
22(1)
Why Is It Managed?
23(1)
What Is Success?
24(1)
Who Manages It?
24(1)
Appoint the Information Product Manager
25(1)
The De Facto Information Product Manager
25(1)
Information Product Manager's Responsibilities
26(1)
Establish an Information Quality Program
27(2)
Conclusion
29(4)
Chapter 3 Define Information Quality
33(26)
The Information System Perspective
34(8)
Data Deficiency
36(1)
Design Deficiencies
37(2)
Operation Deficiencies
39(2)
Some Implications of Information Systems Design
41(1)
The Information Consumer Perspective
42(14)
Fitness for Use
43(1)
Dimensions of IQ
43(1)
Define IQ in Organizational Context
44(1)
Method
44(4)
Intrinsic IQ Pattern
48(1)
Problem Analysis and Solutions
49(1)
Accessibility IQ Pattern
50(2)
Contextual IQ Pattern
52(2)
Implications for IS Professionals
54(2)
Conclusion
56(3)
Chapter 4 Measure, Analyze, and Improve IQ
59(32)
Measure IQ
60(7)
Subjective IQ Metrics
61(1)
Dimensional IQ Assessment
61(1)
IQ Knowledge Assessment
62(1)
Objective, Application-Independent Metrics
63(1)
Application-Dependent IQ Metrics
64(3)
Analyze IQ
67(14)
IQ Assessment (IQA)
67(2)
Survey Results Analysis: A Case Study
69(3)
Integrity Analyzer (TM)
72(2)
Data Integrity
74(6)
Frequency Checks
80(1)
Improve IQ
81(2)
Conclusion
83(2)
Appendix: IQA Survey
85(6)
Chapter 5 Create Organizational Knowledge
91(20)
Organizational Alzheimer's Disease
92(1)
Information and Experience Are Knowledge Sources
93(2)
Information Contains Knowledge
93(1)
Experience Manifests Knowledge
94(1)
What Is Organizational Knowledge?
95(2)
Organizational Knowledge in Three Modes
95(1)
Assess Organizational Knowledge
96(1)
Why Create Organizational Knowledge?
97(1)
How to Create Organizational Knowledge
98(2)
Eyewear Company Revisited
100(2)
Conclusion
102(1)
Appendix: IQK Survey
103(8)
Chapter 6 Manage Knowledge as Assets
111(22)
Power of Collective Knowledge
112(1)
What Is Knowledge Management?
113(1)
Why Knowledge Management?
114(1)
How to Manage Knowledge Assets
114(3)
Platform for Knowledge Management
116(1)
Ten Strategies for Knowledge Management
117(13)
1. Establish a Knowledge Management Methodology
117(1)
2. Designate a Pointperson
118(1)
3. Empower Knowledge Workers
118(1)
4. Manage Customer-Centric Knowledge
119(2)
5. Manage Core Competencies
121(4)
6. Foster Collaboration and Innovation
125(2)
7. Learn from Best Practices
127(1)
8. Extend Knowledge Sourcing
127(1)
9. Interconnect Communities of Expertise
128(1)
Competency Networks
129(1)
11. Report the Measured Value of Knowledge Asset
129(1)
Conclusion
130(3)
Chapter 7 Create Customized Solutions
133(24)
Defining Intellectual Capital, Intellectual Asset, and Solution
134(2)
Intellectual Capital
134(1)
Intellectual Asset and Solution
135(1)
Harvesting and Hardening Assets for Reuse
136(1)
Knowledge Asset Reuse Process
136(3)
Intellectual Capital from Project Information
137(1)
Customized Solutions from Customer Knowledge
138(1)
Knowledge Asset Development Process
139(2)
Competency Leader
140(1)
Asset Manager
140(1)
Knowledge Architect
140(1)
Asset Publisher
140(1)
Asset Broker
140(1)
Enterprise Knowledge Structure
141(3)
Requirements for Asset Identification
142(1)
Selection Criteria for Asset Hunting
142(1)
1. Business Value
142(1)
2. Functionality
142(1)
3. Complexity
143(1)
4. Reuseability
143(1)
5. Documentation and Support
143(1)
6. Business and Technology Risk
143(1)
Life Cycle Management
144(2)
Quality of Intellectual Capital
144(1)
Levels of Life Cycle
144(2)
From Data to Knowledge
146(5)
Data and Knowledge Mining
147(1)
Knowledge Cockpit
148(1)
Customer Information
149(1)
Market Information
149(1)
Business Experiences
149(1)
Data Warehouses
149(1)
Network Agents as Knowledge Intermediaries
150(1)
Network Agents in Electronic Commerce
151(1)
Verification Driven Agent
151(1)
Discovery-Driven Agent
152(1)
Text Mining
153(1)
Information Filtering
153(1)
Collaborative Filtering
153(1)
Conclusion
153(4)
Chapter 8 Network Knowledge Infrastructure
157(18)
Corporate Knowledge Infrastructure
158(1)
Knowledge Architecture for the Extended Enterprise
158(2)
Design Requirements
160(1)
The Internet, Intranets, and Extranets
161(1)
Intranets for Knowledge Sharing and Collaboration
162(1)
ICM Asset Web
162(9)
Competency Networks
164(1)
Best Practice
164(1)
Navigator
165(1)
Idea Generation and Team Collaboration
165(1)
Issue-Based Structured Collaboration
165(1)
Shared Central Repository
167(1)
Capture Team Dialog and Issue Resolution
167(1)
Managing Team's Knowledge
167(1)
Extranets for Customer Care Management
168(1)
Net Car Dealerships
168(1)
Groupware for Collaboration
169(1)
The Internet and Intranets for Networked Communication
170(1)
Security
171(1)
Conclusion
172(3)
Chapter 9 Prosper in the Digital Economy
175(12)
Knowledge-based Economy
176(1)
Competitive Drivers
177(3)
Innovation
178(1)
Responsiveness
178(1)
Productivity
179(1)
Competency
179(1)
Competing for Intellectual Influence
180(3)
Helping Customers to Win
180(1)
Empowering Knowledge Workers to Execute
181(1)
Configuring Business Partners to Team
181(1)
A Web-based Advisor
182(1)
Transforming the Future of Life
183(2)
Networked Life
183(1)
Knowledge Sharing and Mining
183(2)
Being Virtual rather than Physical
185(1)
Conclusion
185(2)
Information Quality Bibliography 187(8)
Knowledge Management Bibliography 195(8)
Glossary 203(4)
Index 207

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