1. Why Human-Centered e-Business?.- 1.1 Introduction.- 1.2 e-Business and e-Commerce.- 1.3 Converging Trends Towards Human-Centeredness.- 1.4 Technology-Centeredness vs Human-Centeredness.- 1.5 Human-Centered Approach.- 1.6 Organization Levels and e-Business.- 1.7 Summary.- References.- 2. e-Business Concepts and Technologies.- 2.1 Introduction.- 2.2 e-Business Systems.- 2.3 e-Business Strategies.- 2.4 e-Business Models.- 2.5 Internet and Web Technologies.- 2.6 Intelligent Technologies.- 2.7 Software Engineering Technologies.- 2.8 Multimedia.- 2.9 Summary.- References.- 3. Converging Trends Towards Human-Centeredness and Enabling Theories.- 3.1. Introduction.- 3.2. Pragmatic Considerations for Human-Centered System Development.- 3.3. Enabling Theories for Human-Centered Systems.- 3.4. Discussion.- 3.5. Summary.- References.- 4. Human-Centered e-Business System Development Framework.- 4.1 Introduction.- 4.2 Overview.- 4.3 External and Internal Planes of Human-Centered Framework.- 4.4 Components of the Human-Centered e-Business System Development Framework.- 4.5. Activity-Centered e-Business Analysis Component.- 4.6. Problem Solving Ontology Component.- 4.7. Summary.- References.- 5. Human-Centered Virtual Machine.- 5.1. Introduction.- 5.2. Problem Solving Ontology Component.- 5.3. Human-Centered Criteria and Problem Solving Ontology.- 5.4. Transformation Agent Component.- 5.5. Multimedia Interpretation Component.- 5.6. Application of Multimedia Interpretation Component in Medical Diagnosis.- 5.7 Emergent Characteristics of HCVM.- 5.8. Summary.- References.- 6. e-Sales Recruitment.- 6.1. Introduction.- 6.2 Human Resource Management e-Business Systems.- 6.3. Information Technology and Recruitment.- 6.4 Activity Centered e-Business Analysis of Sales Recruitment Activity.- 6.5. Human-Centered Activity Model.- 6.6 Implementation and Results.- 6.5. Summary.- References.- 7. Customer Relationship Management and e-Banking.- 7.1. Introduction.- 7.2. Traditional Data Mining and Knowledge Discovery Process.- 7.3. Data Mining Algorithms.- 7.4. Data Mining and the Internet.- 7.5. Multi-layered . Component-based Multi-Agent Distributed Data Mining Architecture.- 7.6. Application in e-Banking.- 7.7. Data Mining Implementation Results.- 7.8. Summary.- References.- 8. HCVM Based Context-Dependent Data Organization for e-Commerce.- 8.1 Introduction.- 8.2 Context-dependent Data Management.- 8.3 Context Modeling in XML.- 8.4 Flexible Access to Context Information.- 8.5 Sample Interaction.- 8.6. Summary.- References.- 9. Human-Centered Knowledge Management.- 9.1. Introduction.- 9.2. HCVM approach to Knowledge Sharing and Decision Support in Knowledge Management Systems.- 9.3. Resource Description Format (RDF) for Knowledge Representation.- 9.4. The Regional Innovation Leadership (RIL) Cycle.- 9.5. Knowledge Hub for RIL.- 9.6. HCVM and Technological Architecture of the Knowledge Hub.- 9.7. Knowledge Hub’s Content Management System.- 9.8. Decision Support and Navigation Agents.- 9.9. Summary.- References.- 10. Hypermedia Information Systems.- 10.1. Introduction.- 10.2. Background.- 10.3. Character of Multimedia Data.- 10.4. Hypermedia Data Modeling.- 10.5. Content-Based Retrieval Indexing.- 10.6 Bridging the Semantic Gap.- 10.7. Commercial Systems for Hypermedia Information Systems.- 10.8. Summary.- References.- 11. Human-Centered Intelligent Web Based Missing Person Clothing Identification System.- 11.1. Introduction.- 11.2. Relevance Feedback.- 11.3. Genetic Algorithms and Other Search Techniques.- 11.4 Design Components Of Clothing IdentificationSystem.- 11.5. Implementation and Results.- 11.6. Relevance Feedback Results.- 11.7. Summary.- References.