Both individual experiences and community characteristics influence how much people trust each other. Using individual level data drawn from US localities we find that the strongest factors associated with low trust are: (i) a recent history of traumatic experiences; (ii) belonging to a group that historically felt discriminated against, such as minorities (blacks in particular) and, to a lesse...

Previous research on the nature of trust in an organizational context provided somewhat controversial and ambiguous results. There are both conceptual and operational difficulties in exploring this intuitively individual-level phenomenon at organizational and inter-organizational levels. The fundamental question of where trust resides in inter-organizational relationships remains unresolved. Th...

Purpose: The aim of this study was to investigate the role of individual and collective components on the formation of social trust in high school students. Methodology: The present study was applied in terms of purpose and mixed in terms of implementation method (qualitative and quantitative). The research population was in the qualitative part of experts, experts and specialists in the field...

this paper attempts to rank the effective factors in making trust in social networks to provide the possibility of attracting and increasing users’ trust on these social networks for providers and designers of online social networks. identifying the effective factors in making trust in social networks is a multi-criteria decision making problem and most of effective factors are ambiguous and un...

Today, studying trust within society is a very current topic. The significance and role, which trust plays in the post-industrial society is multi-layered. Without a doubt, trust within different institutions and trust amongst individual institutions has been at the forefront in recent time. Often the level of trust individual institutions enjoy depends on the success and efficiency of their op...

A novel social network based group decision making (SN-GDM) model with experts’ weights not provided beforehand and with the following four tuple information: trust; distrust; hesitancy; and inconsistency, is introduced. The concepts of trust score (TS) and knowledge degree (KD) are defined and combined into a trust order space. Then, a strict trust ranking order relation of trust function valu...

OBJECTIVE We provide an empirical demonstration of the importance of attending to human user individual differences in examinations of trust and automation use. BACKGROUND Past research has generally supported the notions that machine reliability predicts trust in automation, and trust in turn predicts automation use. However, links between user personality and perceptions of the machine with...

Military communities in tactical networks must often maintain high group solidarity based on the trustworthiness of participating individual entities where collaboration is critical to performing team-oriented missions. Group trust is regarded as more important than trust of an individual entity since consensus among or compliance of participating entities with given protocols may significantly...