Human-Centered e-Business
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
eBook, English, 2003
Springer US : Imprint : Springer, Boston, MA, 2003
1 online resource (336 pages)
9781461504450, 9781461350804, 1461504457, 1461350808
840283358
Printed edition:
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 Identification System
11.5. Implementation and Results
11.6. Relevance Feedback Results
11.7. Summary
References
English