InhaltsangabePreface. Acknowledgements. 1: Why HumanCentered eBusiness? 1.1. Introduction. 1.2. eBusiness and eCommerce. 1.3. Converging Trends towards HumanCenteredness. 1.4. TechnologyCenteredness vs HumanCenteredness. 1.5. HumanCentered Approach. 1.6. Organization Levels and eBusiness. 1.7. Summary. References. 2: eBusiness Concepts and Technologies. 2.1. Introduction. 2.2. eBusiness Systems. 2.3. eBusiness Strategies. 2.4. eBusiness 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: HumanCentered eBusiness System Development Framework. 4.1. Introduction. 4.2. Overview. 4.3. External and Internal Planes of HumanCentered Framework. 4.4. Components of the HumanCentered eBusiness System Development Framework. 4.5. ActivityCentered eBusiness Analysis Component. 4.6. Problem Solving Ontology Component. 4.7. Summary. References. 5: HumanCentered eBusiness System Development Framework. 5.1. Introduction. 5.2. Problem Solving Ontology Component. 5.3. HumanCentered 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: eSales Recruitment. 6.1. Introduction. 6.2. Human Resources Management eBusiness Systems. 6.3. Information Technology and Recruitment. 6.4. ActivityCentered eBusiness Analysis of Sales Recruitment Activity. 6.5. HumanCentered Activity Model. 6.6.Implementation and Results. 6.7. Summary. References. 7: Customer Relationship Management and e-Banking. 7.1. Introduction. 7.2. Traditional Data Mining and Knowledge Discovery Process. 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: HumanCentered 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 RI

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InhaltsangabePreface. Acknowledgements. 1: Why HumanCentered eBusiness? 1.1. Introduction. 1.2. eBusiness and eCommerce. 1.3. Converging Trends towards HumanCenteredness. 1.4. TechnologyCenteredness vs HumanCenteredness. 1.5. HumanCentered Approach. 1.6. Organization Levels and eBusiness. 1.7. Summary. References. 2: eBusiness Concepts and Technologies. 2.1. Introduction. 2.2. eBusiness Systems. 2.3. eBusiness Strategies. 2.4. eBusiness 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: HumanCentered eBusiness System Development Framework. 4.1. Introduction. 4.2. Overview. 4.3. External and Internal Planes of HumanCentered Framework. 4.4. Components of the HumanCentered eBusiness System Development Framework. 4.5. ActivityCentered eBusiness Analysis Component. 4.6. Problem Solving Ontology Component. 4.7. Summary. References. 5: HumanCentered eBusiness System Development Framework. 5.1. Introduction. 5.2. Problem Solving Ontology Component. 5.3. HumanCentered 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: eSales Recruitment. 6.1. Introduction. 6.2. Human Resources Management eBusiness Systems. 6.3. Information Technology and Recruitment. 6.4. ActivityCentered eBusiness Analysis of Sales Recruitment Activity. 6.5. HumanCentered Activity Model. 6.6.Implementation and Results. 6.7. Summary. References. 7: Customer Relationship Management and e-Banking. 7.1. Introduction. 7.2. Traditional Data Mining and Knowledge Discovery Process. 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: HumanCentered 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.

InhaltsangabePreface. Acknowledgements. 1: Why HumanCentered eBusiness? 1.1. Introduction. 1.2. eBusiness and eCommerce. 1.3. Converging Trends towards HumanCenteredness. 1.4. TechnologyCenteredness vs HumanCenteredness. 1.5. HumanCentered Approach. 1.6. Organization Levels and eBusiness. 1.7. Summary. References. 2: eBusiness Concepts and Technologies. 2.1. Introduction. 2.2. eBusiness Systems. 2.3. eBusiness Strategies. 2.4. eBusiness 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: HumanCentered eBusiness System Development Framework. 4.1. Introduction. 4.2. Overview. 4.3. External and Internal Planes of HumanCentered Framework. 4.4. Components of the HumanCentered eBusiness System Development Framework. 4.5. ActivityCentered eBusiness Analysis Component. 4.6. Problem Solving Ontology Component. 4.7. Summary. References. 5: HumanCentered eBusiness System Development Framework. 5.1. Introduction. 5.2. Problem Solving Ontology Component. 5.3. HumanCentered 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: eSales Recruitment. 6.1. Introduction. 6.2. Human Resources Management eBusiness Systems. 6.3. Information Technology and Recruitment. 6.4. ActivityCentered eBusiness Analysis of Sales Recruitment Activity. 6.5. HumanCentered Activity Model. 6.6.Implementation and Results. 6.7. Summary. References. 7: Customer Relationship Management and e-Banking. 7.1. Introduction. 7.2. Traditional Data Mining and Knowledge Discovery Process. 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: HumanCentered 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.