Few studies have explicitly focused on risky group decision making in information sharing or examined the manifestation of communication differences in face-to-face (FTF) and computer-mediated communication (CMC) teams. Hypothesizing that information-sharing behaviors could be influenced not only by contextual forces but also by personality and trust, we integrate communication mode, trust and ...

Trust is the expectation of a person about another person’s behavior. Trust is important for many security related decisions about, e.g., granting or revoking privileges, controlling access to sensitive resources and information, or evaluating intelligence gathered from multiple sources. More often than not, the issue is complicated even further because the person making the decision has no dir...

Citizens’ 1 decision to use online services is influenced by their trust in technology and the agency involved. Low levels of citizen trust towards e-Government services in Germany create concerns in the Government. However, neither the issue of trust nor its influence on the willingness of citizens for using online public services has been examined thoroughly till now. Literature in similar co...

Executive Overview In many organizations, informal networks are the primary means by which employees find information, solve complex problems, and learn how to do their work. Two forms of interpersonal trust—trust in a person’s competence and in a person’s benevolence— enable effective knowledge creation and sharing in these networks. Yet, though conceptually appealing, trust is an elusive conc...

Trust plays an important role in making collaborative decisions about service evaluation and service selection in pervasive computing. Context is a fundamental concept in pervasive systems, which is based on the interpretation of environment and systems. The dynamic nature of context can strongly affect trust management and service selection. In this paper, we present a context-based trust mana...

Trust relationships between user pairs play a vital role in making decisions for social network users. In reality, available explicit trust relations are often extremely sparse, therefore, inferring unknown trust relations attracts increasing attention in recent years. In this paper, a new approach originating from machine learning is proposed to predict trust relationships in social networks b...

Non-centralized recommendation-based decision making is a central feature of several social and technological processes, such as market dynamics, peer-to-peer file-sharing and the web of trust of digital certification. We investigate the properties of trust propagation on networks, based on a simple metric of trust transitivity. We investigate analytically the percolation properties of trust tr...