Knowledge Management Strategy and Techology / Edition 2

Knowledge Management Strategy and Techology / Edition 2

by Richard F. Bellaver
     
 

Bellaver and Lusa (both information and communication science, Ball State U.) urge chief executive, financial, and knowledge officers as well as other key enterprise executives to comprehend the enormity and wealth of the information cache available to them, from the lowest reaches of their enterprise to the farthest limits of the worldwide Internet. Once overwhelmed… See more details below

Overview

Bellaver and Lusa (both information and communication science, Ball State U.) urge chief executive, financial, and knowledge officers as well as other key enterprise executives to comprehend the enormity and wealth of the information cache available to them, from the lowest reaches of their enterprise to the farthest limits of the worldwide Internet. Once overwhelmed by such a tide, they say, knowledge management can focus the enterprise by acquiring, storing, and utilizing knowledge-relevant information critical to daily tasks. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781580531054
Publisher:
Artech House, Incorporated
Publication date:
11/28/2001
Series:
Computing Library
Edition description:
New Edition
Pages:
270
Product dimensions:
6.14(w) x 9.21(h) x 0.63(d)

Table of Contents

Prefacexi
Introductionxix
1A practical framework for understanding KM1
1.1Introduction1
1.1.1How we know what we know: understanding knowledge2
1.2Information is knowledge in motion5
1.2.1Phenomena8
1.2.2Facts8
1.2.3Data8
1.2.4Information9
1.2.5Understanding9
1.2.6Wisdom10
1.3Applying Gates's metaphor of a "digital nervous system"11
1.3.1A four-layer model of the movement and use of information12
1.3.2Relation of technology and transmission/networking14
1.3.3Relation of form and content14
1.4Moving and using information: the practice of information networking in a KM context16
1.5Conclusion18
1.5.1The future of KM: distinctive trend or ubiquity18
1.5.2Future of technology: mechanized techniques19
1.5.3Recommendations20
1.5.4Overarching conclusion: humans know best--homo sapiens comes into its own21
Endnotes21
2Document imaging and management: taming the paper tiger23
2.1Introduction23
2.2Information revolution24
2.2.1The business case26
2.2.2What is document imaging and management?28
2.3System solutions29
2.3.1American Electric Power29
2.3.2The railroad system30
2.3.3The bank solution31
2.3.4The utility solution32
2.4The moving parts of DIM33
2.4.1Preparing the documents35
2.4.2The software36
2.4.3Developing the network37
2.5Questions to be answered38
2.6Professionalism in the field39
2.7Conclusion39
References40
3Groupware: messaging and cooperation41
3.1Introduction41
3.2A wide view42
3.2.1Groupware, the Internet, your intranet43
3.2.2Client-server architecture43
3.2.3Groupware functions: e-mail44
3.2.4Groupware functions: scheduling and calendaring49
3.2.5Groupware functions: real-time conferencing50
3.2.6Groupware functions: asynchronous conferencing52
3.3Conclusion56
References57
4Developing effective knowledge with both qualitative and quantitative research59
4.1Introduction59
4.1.1Using quantitative and qualitative methods together for higher-quality data60
4.2Problems62
4.2.1Pitfalls of qualitative measurements62
4.3Solutions65
4.3.1Providing reliable qualitative research65
4.3.2Case study examples68
4.3.3Quality of Service in the wireless industry69
4.3.4Implementation of quick response information systems70
4.3.5Managerial and economic aspects of rapid information technology acquisition71
4.3.6Client-server computing72
4.4What to do next: use new technology72
4.5Conclusion73
References74
5Systems architecture: the preparation for KM75
5.1Introduction75
5.1.1Current architecture76
5.2Problems: the opportunities and the challenges79
5.2.1Search and destroy--eliminate redundancy80
5.2.2Defining core data or what is to be mined81
5.2.3The data engine82
5.2.4There must be directories82
5.2.5Surround-increase flexibility of present systems83
5.2.6Quality data structure84
5.2.7Separate the data from the processing85
5.2.8Conceptual model86
5.2.9Supporting technology86
5.2.10The "look" or the "content"?87
5.3Implementing a KM strategy88
5.3.1KM side benefit90
5.3.2Data quality rules91
5.4Conclusion92
Selected bibliography93
6Data warehousing: the storage and access of distributed information95
6.1Introduction95
6.2Storing information97
6.3Distributing information99
6.4Accessing information100
6.4.1Object Management Group CORBA and microsoft.com100
6.4.2Search engines101
6.4.3Client-server architectures102
6.4.4Distributed data103
6.4.5Object database structures105
6.5Using RAID technology for storage and protection106
6.6The data warehouse for storing information107
6.7Using the Web as a warehouse109
6.8Conclusion110
Selected bibliography112
7An integrated development model for KM113
7.1Introduction113
7.2Defining the problem114
7.2.1What is KM?115
7.2.2Framework for a KM capability115
7.3Solution: integrated KM development model118
7.3.1Background118
7.3.2Overall process118
7.4Conclusion133
References134
8The role of directories in KM135
8.1Background135
8.2Problems with the traditional directory136
8.3Full-service directory solution137
8.3.1Role of directory services138
8.3.2Building a directory foundation138
8.3.3The human factor142
8.4What to do next: finding knowledge workers144
8.4.1Some other ideas145
8.4.2Finding, accessing, and filtering knowledge147
8.4.3Publishing knowledge148
8.5Conclusion149
References150
9The Internet as a mechanism to enhance content and extend access to corporate data resources151
9.1Background151
9.1.1Size, scope, and rate of growth of the Web152
9.1.2Information gold mine153
9.2Problems with information overload153
9.2.1Missing structure154
9.2.2Metadata: adding missing structure155
9.2.3Dublin Core156
9.3Solutions: harvesting the Internet157
9.3.1Broken links158
9.3.2PURLs of wisdom159
9.3.3Protecting the Internal Data warehouse: security concerns160
9.3.4Internal security risks162
9.3.5Controlling egress163
9.4What to do next by monitoring egress164
9.4.1Network storage165
9.5Conclusion166
References167
10A case study: the power of managing knowledge in a worldwide enterprise169
10.1Introduction169
10.2Problems during transformation170
10.3Solution with first-generation KM171
10.3.1Teams and Communities171
10.3.2Key first-generation lessons174
10.4Continuing solutions with second-generation KM175
10.4.1Knowledge discovery175
10.4.2Key second-generation lessons177
10.5What to do next: go third-generation KM178
10.5.1Business transformation178
10.6Conclusion179
11KM for competitive advantage: mining diverse sources for marketing intelligence181
11.1Introduction181
11.1.1Ideal data to meet competitive goals182
11.1.2Matching real data to the ideal184
11.1.3Case study: modeling approach to build knowledge187
11.1.4Modeling technology to capitalize on diverse data190
11.1.5Results for modeling in competitive contexts192
11.2Solutions for decision support194
11.2.1New directions and products195
11.3Conclusion197
References198
12Building knowledge communities with webs of connections201
12.1Background201
12.1.1Communities of interest203
12.1.2What does it do for Edmunds?205
12.1.3Accelerating business206
12.1.4Communities of practice207
12.2Solutions208
12.2.1Sharing knowledge209
12.2.2Communities of exchange210
12.3What to do next211
12.4Conclusion212
12.4.1Building successful knowledge communities212
References213
Appendix ACase studies list215
Appendix BSelected bibliography217
Appendix CGlossary221
Contributors227
Index235

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