Trust and reputation for service-oriented environments : technologies for building business intelligence and consumer confidence

Trustworthiness technologies and systems for service-oriented environments are re-shaping the world of e-business. By building trust relationships and establishing trustworthiness and reputation ratings, service providers and organizations will improve customer service, business value and consumer confidence, and provide quality assessment and assurance for the customer in the networked economy.

Trust and Reputation for Service-Oriented Environments is a complete tutorial on how to provide business intelligence for sellers, service providers, and manufacturers. In an accessible style, the authors show how the capture of consumer requirements and end-user opinions gives modern businesses the competitive advantage.

Trust and Reputation for Service-Oriented Environments:

Clarifies trust and security concepts, and defines trust, trust relationships, trustworthiness, reputation, reputation relationships, and trust and reputation models. Details trust and reputation ontologies and databases. Explores the dynamic nature of trust and reputation and how to manage them efficiently. Provides methodologies for trustworthiness measurement, reputation assessment and trustworthiness prediction. Evaluates current trust and reputation systems as employed by companies such as Yahoo, eBay, BizRate, Epinion and Amazon, etc. Gives ample illustrations and real world examples to help validate trust and reputation concepts and methodologies. Offers an accompanying website with lecture notes and PowerPoint slides.

This text will give senior undergraduate and masters level students of IT, IS, computer science, computer engineering and business disciplines a full understanding of the concepts and issues involved in trust and reputation. Business providers, consumer watch-dogs and government organizations will find it an invaluable reference to establishing and maintaining trust in open, distributed, anonymous service-oriented network environments.

Author Notes

Elizabeth Chang , Curtin Business School, has created, developed and taught courses in software engineering, project management, HCI, e-commerce, Databases, and Logistics and Supply Chain Management. She has also successfully managed several commercial-grade IT projects for industry, taking them through the entire software lifecycle to project completion. These projects range across Internet, peer-to-peer communications and e-commerce applications. Professor Chang has over 100 scientific conference and journal papers of which 20 are on Trust.

Professor Tharam Dillon is Dean of Information Technology at the University of Technology, Sydney. He is an expert in the fields of software engineering and data mining, and in trust, security and component-oriented access control. He has published five authored and four co-edited books, in addition to over 400 scientific papers in refereed journals and conferences.

Farookh K. Hussain is a PhD student at Curtin Business School, and has become an expert in the field of Trust, co-authoring over 20 papers on Trust over the last two years.

Preface

Author Introduction

Acknowledgement

Chapter 1 Trust and Security in Service-Oriented Envirnoments

1.1 Introduction

1.2 Why Trust?

1.3 Trust and Security

1.4 Service-Oriented Environment

1.5 Agents in Service-Oriented Environments

1.6 Business in a Service-Oriented Environment

1.7 Infrastructure in Service-Oriented Environment

1.8 Technology in Service-Oriented Environments

1.9 Trust in Service-Oriented Environments

1.10 Chapter Summary

Chapter 2 Trust Concepts and Trust Model

2.1 Introduction

2.2 Trust Environments

2.3 Trust Definitions in Literature

2.4 Advanced Trust Concepts

2.5 Trust Relationships

2.6 Trust Relationship Diagrams

2.7 Trust Attributes and Methods

2.8 Initiation of the Relationship

2.9 The Trust Model

2.10 Chapter Summary

References

Chapter 3 Trustworthiness

3.1 Introduction

3.2 Trustworthiness in Literature

3.3 Advanced Trustworthiness Definition

3.4 Seven Levels of the Trustworthiness

3.5 Semantics Representing and Postulates got Trustworthiness Levels

3.6 Trustworthiness Measure and Prediction

3.7 Challenges in Trustworthiness Measure and Prediction

3.8 Chapter Summary

References

Chapter 4 Trust Ontology for Service-Oriented Environment

4.1 Introduction

4.2 Ontology

4.3 Hierarchy of Trust Concepts

4.4 Hierarchy of Agents, Service and Product Concepts

4.5 Hierarchy of Context and Association with Quality Assessment Criteria

4.6 Agent Trust Ontology

4.7 Service Trust Ontology

4.8 Product Trust Ontology

4.9 Trust Databases

4.10 Summary

References

Chapter 5 The Fuzzy and Dynamic Nature of Trust

5.1 Introduction

5.2 Existing Literature

5.3 Fuzzy and Dynamic Characteristics of Trust

5.4 Endogenous and Exogenous Characteristics of Agents

5.5 Reasoning the Fuzziness and Dynamism

5.6 Managing the Fuzziness of Trust

5.7 Managing the Dynamism of Trust

5.8 Summary

References

Chapter 6 Trustworthiness Measure with CCCI

6.1 Introduction

6.2 Trustworthiness Measure Methodology

6.3 CCCI Metrics

6.4 The Commitment to the Criterion-Commit Criterion

6.5 Clarity of the Criterion-Clear Criterion

6.6 Influence of a Criterion-Inf Criterion

6.7 Correlation of Defined Quality-Corr Qualities

6.8 Trustworthiness Values and Corr Qualities

6.9 Summary

References

Chapter 7 Trustworthiness systems

7.1 Introduction

7.2 Amazon trustworthiness systems

7.3 Yahho's trustworthiness systems

7.4 Epinions.com trustworthiness systems

7.5 eBay.com's trustworhtiness systems

7.6 Bizrate.com's trustworthiness systems

7.7 CNet.com's trustworthiness systems

7.8 Review of trustworthiness systems

7.9 CCCI for trustworthiness of e-Service

7.10 Summary

References

Chapter 8 Reputation Concepts and the Reputation Model

8.1 Introduction

8.2 Reputation in Literature

8.3 Advanced Reputation Concepts

8.4 Reputation Relationship

8.5 Recommendation Trust Relationship

8.6 Third-Party Trust Relationship

8.7 Reputation Query Relationship

8.8 Trustworthiness of Third-Party Recommendation Agents

8.9 Trustworthiness of the Opinion

8.10 1st Hand Opinion and 1st Hand Knowledge

8.11 Reputation Model and Reputation Relationships Diagram

8.12 Conclusion

References

Chapter 9 Reputation Ontology

9.1 aIntroduction

9.2 Reputation Ontology

9.3 Basic and Advanced Reputation Ontology

9.4 Trustworthiness of Opinion Ontology

9.5 Ontology for Reputation of Agent

9.6 Ontology for Reputation of a Service

9.7 Ontology for Reputation of a Product

9.8 Reputation Databases

9.9 Seven Levels of Reputation Measurement

9.10 The Fuzzy Nature of Reputation

9.11 The Dyn

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Summary

Summary

Author Notes

Table of Contents