Human-Centered e-Business

Front Cover
Springer Science & Business Media, May 31, 2003 - Computers - 315 pages
Human-Centered e-Business focuses on analysis, design and development of human-centered e-business systems. The authors illustrate the benefits of the human-centered approach in intelligent e-sales recruitment application, integrating data mining technology with decision support model for profiling transaction behavior of internet banking customers, user-centered context dependent data organization using XML, knowledge management, and optimizing the search process through human evaluation in an intelligent interactive multimedia application. The applications described in this work, facilitates both e-business analysis from a business professional's perspective, and human-centered system design from a system development perspective. These applications employ a range of internet and soft computing technologies.
 

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Contents

WHY HUMANCENTERED eBUSINESS?
1
12 eBusiness and eCommerce
2
13 Converging Trends Towards HumanCenteredness
4
14 TechnologyCenteredness vs Human Centeredness
5
15 HumanCentered Approach
8
16 Organization Levels and eBusiness
10
References
12
eBUSINESS CONCEPTS AND TECHNOLOGIES
13
571 Architectural Characteristics
159
References
162
eSALES RECRUITMENT
163
63 Information Technology and Recruitment
164
64 Activity Centered eBusiness Analysis of Sales Recruitment Activity
165
642 Performance Analysis of Sales Recruitment Activity
168
643 Context Analysis of the Sales Recruitment Activity
169
644 Alternative eBuslness System Goals and Tasks
172

222 Decision Support Systems
14
224 Knowledge Management Systems
15
232 ValueChain Integration
16
24 eBusiness Models
17
242 Content Provider
18
244 Intermediary
19
247 Virtual Community
20
25 Internet and Web Technologies
22
252The eXtensible Markup Language
23
2521 XML Namespaces
27
2522 XMLbased Agent Systems Development
29
2611 Symbolic Knowledge Representation
30
2612 Rule Based Architecture
33
2613 Rule and Frame Object Based Architecture
34
2615 Blackboard Architecture
35
2616 Some Limitations of Expert System Architectures
36
263Artificial Neural Networks
37
2631 Perceptron
38
2632 Multilayer Perceptrons
40
2633 Radial Basis Function Net
43
2634 Kohonen Networks
44
264 Fuzzy Systems
46
2641 Fuzzy Sets
47
2643 Fuzzy Inferencing and Rule Evaluation
48
2644 Defuzzification of Outputs
49
265 Genetic Algorithms
51
2652 Reproduction
52
265 J Crossover
53
2655 The Stopping Criterion
54
266 Intelligent Fusion Transformation and Combination
55
271ObjectOriented Software Engineering
56
2712 Encapsulation
57
28 Multimedia
59
29 Summary
60
References
61
CONVERGING TRENDS TOWARDS HUMANCENTEREDNES AND ENABLING THEORIES
65
321 eBusiness and HumanCenteredness
66
322 Intelligent Systems and HumanCenteredness
68
322 Software Engineering and HumanCenteredness
72
323 Multimedia Databases and HumanCenteredness
74
325 Data Mining and HumanCenteredness
76
327 HumanComputer Interaction and HumanCenteredness
78
331 Semiotic Theory Language of Signs
79
3311 Rhematic Knowledge
82
3312 Dicent Knowledge
83
332 Cognitive Science Theories
84
3322 Radical Approach
85
3323 Situated Cognition
86
3324 Distributed Cognition
88
333 Activity Theory
89
334 Workplace Theory
92
34 Discussion
93
35 Summary
95
HUMANCENTERED eBUSINESS SYSTEM DEVELOPMENT FRAMEWORK
103
43 External and Internal Planes of HumanCentered Framework
104
44 Components of the HumanCentered eBusiness System Development Framework
107
45 ActivityCentered eBusiness Analysis Component
108
451Problem Definition and Scope
109
452 Performance Analysis of System Components
111
453 Context Analysis of System Components
112
4533 Product Context
113
4535 Tool Context
114
456 Task Product Transition Network
115
457 eBusiness Infrastructure Analysis
116
47 Summary
120
References
121
HUMANCENTERED VIRTUAL MACHINE
123
521Definition of Terms Used
125
522 Problem Solving Adapters
127
5223 Control Phase Adapter
132
5225 Postprocessing Phase Adapter
140
53 HumanCentered Criteria and Problem Solving Ontology
141
54 Transformation Agent Component
142
55 Multimedia Interpretation Component
146
551 Data Content Analysis
147
552 Media Media Expression and Ornamentation Selection
148
553 Media Presentation Design and Coordination
151
561 Patient Symptom Content Analysis
153
562 Media Media Expression and Ornamentation Selection
155
563 Multimedia Agents
157
57 Emergent Characteristics of HCVM
158
645 HumanTaskTool Diagram
174
646 Task Product Transition Network
176
65 HumanCentered Activity Model
177
651 Mapping Decomposition Adapter to SRA Tasks
178
652 Mapping Control Phase and Decision Phase Adapter to SRA Tasks
179
66 Implementation and Results
182
661 ES Model of Behavior Categorization
183
662 Predictive Model of Behavior Categorization
186
663 Behavior Profiling and Benchmarking
187
65 Summary
190
CUSTOMER RELATIONSHIP MANAGEMENT AND eBANKING
193
72 Traditional Data Mining and Knowledge Discovery Process
194
73 Data Mining Algorithms
195
74 Data Mining and the Internet
197
741 Internet Content Mining
198
7412 AgentBased Approach
199
742 Internet Usage Mining
200
75 Multilayered Componentbased MultiAgent Distributed Data Mining Architecture
201
76 Application In eBanking
202
761 CRM Model of eBanking Manager
203
7612 Control Phase
204
7613 Decision Phase
206
762 Agent Design and Implementation
207
77 Data Mining Implementation Results
210
771 Transaction Frequency
211
772 Product Similarity
212
773 Customer Association
214
References
215
HCVM BASED CONTEXTDEPENDENT DATA ORGANIZATION FOR eCOMMERCE
219
82 Contextdependent Data Management
221
821 Context Representation in ECommerce Transactions
222
83 Context Modeling in XML
225
831 Using the Simple Object Access Protocol SOAP for Context Initialization
229
832 Contextaware User Interface Based on HCVM
231
84 Flexible Access to Context Information
232
841 Fuzzy Closure Computation
236
842 Query Execution
238
85 Sample Interaction
239
86 Summary
241
HUMANCENTERED KNOWLEDGE MANAGEMENT
245
93 Resource Description Format RDF for Knowledge Representation
248
94 The Regional Innovation Leadership RIL Cycle
249
951 Knowledge Hubs Actors
250
952 Cluster of Services
251
97 Knowledge Hubs Content Management System
252
971 Spider and Validator Agents
253
98 Decision Support and Navigation Agents
257
99 Summary
258
References
259
HYPERMEDIA INFORMATION SYSTEMS
261
102 Background
262
103 Character of Multimedia Data
263
104 Hypermedia Data Modeling
264
105 ContentBased Retrieval Indexing
265
1052 Image and Semcon Matching
268
1053 Generic Image Model
271
1054 Shape Matching
272
1055 Color Matching
273
106 Bridging the Semantic Gap
278
1062 User Semantics and HCVM
280
107 Commercial Systems for Hypermedia Information Systems
281
108 Summary
282
HUMANCENTERED INTELLIGENT WEB BASED MISSING PERSON CLOTHING IDENTIFICATION SYSTEM
287
1121 Vector Space Model
288
1123 Evaluating Relevance Feedback
290
114 Design Components Of Clothing Identification System
291
11412 Display AH Shirt
295
11413 User Details and Relevance Feedback
296
11422 Reproduction
297
11423 Crossover
298
11424 Mutation
299
115 Implementation and Results
301
1152 Data Structures
302
1153 Relevance Feedback
303
1153 Converting Population to Images
304
1154 Starting the Process
305
1157 User Feedback and Show Filenames
306
References
308
INDEX
309
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