Reputation systems could help consumers avoid transaction risk by providing historical consumers’ feedback. But, traditional reputation systems are vulnerable to the rating manipulation. It will undermine the trustworthiness of the reputation systems and users’ satisfaction will be lost. To address the issue, this study uses the real-world rating data from two travel website: Tripadvisor.com an...

In open dynamic online communities such as e-commerce, participants need to rely on services provided by others in order to thrive. Accurately estimating the trustworthiness of a potential interaction partner is vital to a participant’s wellbeing. It is generally recognized in the research community that third-party testimony sharing is an effective way for participants to gain knowledge about ...

This study explores how people trust each other in Virtual Communities (VCs). The online presence is certainly different from the physical world.; the broad question in this research is whether trust is developed differently or not. The main sociological factors that influence trust in physical communities have been hypothesized for their contribution to the development of trust in VCs. A quant...

Economists have long recognized the importance of trust in trade and economic development, but few empirical studies address how trust is maintained and enhanced. We set up a rational expectation model that allows the marketplace to boost trust via buyer insurance or seller penalty. The model shows that buyer insurance will reduce seller trustworthiness in equilibrium because insurance increase...

Lack of trust is one of the most frequently cited reasons for consumers not purchasing from Internet vendors. During the last three years a number of empirical studies have investigated the role of trust in the specific context of e-commerce, focusing on different aspects of this multi-dimensional construct. However, empirical research in this area is beset by conflicting conceptualizations of ...

Reputation-based trust models are essentially reinforcement learning mechanisms reliant on feedback. As such, they face a cold start problem when attempting to assess an unknown service partner. Stateof-the-art models address this by incorporating dispositional knowledge, the derivation of which is not described regularly. We propose three mechanisms for integrating knowledge readily available ...

The term trust management suggests that trust can be managed, for example by creating trust, by assessing trustworthiness, or by determining optimal decisions based on specific levels of trust. The problem to date is that trust management in online environments is a diverse and ill defined discipline. In fact, the term trust management is being used with very different meanings in different con...

In the midst of promising perceived benefits, the electronic commerce (EC) environment entails greater challenges than those posed by conventional trade. In addition to privacy and security concerns, researchers and businesses alike are increasingly aware that the lack of trust for online vendors experienced by consumers constitutes a serious barrier to the widespread adoption and successful pr...

E. Charles-Edwards, V. Morgan, A. Attygalle, S. Giles, T. E. Ind, M. Davis, J. Shepherd, N. McWhinney, and N. deSouza CRUK & EPSRC Cancer Imaging Centre, Institute of Cancer Research & Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom, Histopathology, Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom, Gynaecology, Royal Marsden NHS Foundation Trust, Sutton, Sur...

A network of people having established trust relations and a model for propagation of related trust scores are fundamental building blocks in many of todays most successful e-commerce and recommendation systems. However, the web of trust is often too sparse to predict trust values between non-familiar people with high accuracy. Trust inferences are transitive associations among users in the con...