Two studies were conducted to examine the long-term impact of parental divorce on beliefs about the self and others. In Study 1, college-aged children of divorce and students from intact families did not differ on 8 basic assumptions or on measures of depression. Those whose parents are divorced, however, were less optimistic about the success of their own future marriages. Assumptions about th...

There are currently some ontologies of business collaboration that facilitate automated collaboration, such as evalue, REA, and BMO. However, these ontologies model the situation that all business actors can be trusted. This is not true in practice. To realize automated business collaboration, trust needs to be added to the business ontology. In this paper, we extend the evalue ontology with th...

customers extend robust trust to a business when they believe the business puts their interests first. good experience of banking services and recommendations of other customers can increase trust. loyalty and word of mouth (wom) is accepted as key factors successes of marketing. this paper seeks to discover the affecting factors on positive word of mouth and loyalty based on trust enhancement ...

We study large scale extended trust region subproblems (eTRS) i.e., the minimization of a general quadratic function subject to a norm constraint, known as the trust region subproblem (TRS) but with an additional linear inequality constraint. It is well known that strong duality holds for the TRS and that there are efficient algorithms for solving large scale TRS problems. It is also known that...

Trust and reputation techniques have offered favorable solutions to the web service selection problem. In distributed systems, service consumers identify pools of service providers that offer similar functionalities. Therefore, the selection task is mostly influenced by the non-functional requirements of the consumers captured by a varied number of QoS metrics. In this paper, we present a QoS-a...

Information retrieval may suggest a document, and information extraction may tell us what it says, but which information sources do we trust and which assertions do we believe when different authors make conflicting claims? Trust algorithms known as fact-finders attempt to answer these questions, but consider only which source makes which claim, ignoring a wealth of background knowledge and con...

Current trust models enable decision support at an implicit level by means of thresholds or constraint satisfiability. Decision support is mostly included only for a single binary action, and does not explicitly consider the purpose of a transaction. In this paper, we present a game theoretic model that is specifically tuned for decision support on a whole host of actions, based on specified th...