While trust is increasingly recognized as a factor that impacts on safety behavior, the exact nature of trust and its role in shaping organizational safety is poorly understood. This special issue contains six articles that examine the relationship between trust and safety behavior in a range of high-risk work contexts. The issue begins with two articles that introduce the complex nature of tru...

Trust model is an important component of gird security model and can be classified as mission-unaware identity trust model, mission-aware identity trust model, mission-unaware behavior trust model and mission-aware behavior trust model. All of them could be regarded as projections of mission-aware behavior trust model, by which authorization depends on not only the trust but also the cost and q...

The trust solutions to routing networks are faced with the evaluation of behavior trust and how to exactly evaluate the behaviors under the circumstance of existing recommend deceptive behavior such as providing fake or misleading recommendation. In this paper, by learning trust relationship from routing network, a trust evaluation model based on Grey Clustering Theory is proposed. The model ad...

e-commerce has made life simple and innovative of individuals and groups consumer behavior in online shopping is different from the physical market where he has access to see the product. the purpose of the research was to study the consumer behavior in online shopping of electronics especially in iran. primary data was collected through the questionnaire survey and by emails from personal cont...

We focus on the -nite-sample behavior of heteroskedasticity-consistent covariance matrix estimators and associated quasi-t tests. The estimator most commonly used is that proposed by Halbert White. Its -nite-sample behavior under both homoskedasticity and heteroskedasticity is analyzed using Monte Carlo methods. We also consider two other consistent estimators, namely: the HC3 estimator, which ...

We combine two experiments and a survey to measure trust and trustworthiness—two key components of social capital. Standard attitudinal survey questions about trust predict trustworthy behavior in our experimentsmuch better than they predict trusting behavior. Trusting behavior in the experiments is predicted by past trusting behavior outside of the experiments. When individuals are closer soci...

Modeling trust in complex dynamic environments is an important yet challenging issue since an intelligent agent may strategically change its behavior to maximize its profits. In this paper, we propose a context aware trust model to predict dynamic trust by using a Hidden Markov Model (HMM) to model an agent’s interactions. Although HMMs have already been applied in the past to model an agent’s ...

A Grid computing system is a geographically distributed environment with autonomous domains that share resources amongst themselves. One primary goal of such a Grid environment is to encourage domain-to-domain interactions and increase the confidence of domains to use or share resources (a) without losing control over their own resources, and (b) ensuring confidentiality for others. To achieve ...

This paper describes a machine learning approach to evaluate the relationship between trust behavior and Situation Awareness (SA) in the context of a 3-player Iterated Diner’s Dilemma game. Our experimental setup consisted of a set of 24 supervised studies in which participants played against computer opponents with different cooperation strategies. Three user interfaces were evaluated in the s...