ABSTRACT

The unique characteristics of online social communities call for a reexamination and adaptation of established behavioral theories of trust decision-making. Guided by relevant social science and computational graph theories, we propose a conceptual model of trust decision-making in online social networks. This is the first study that integrates the existing graph-based view of trust decision-making in social networks into socio-psychological theories of trust to provide a richer understanding of trusting decisions in online social networks. We introduce new behavioral antecedents of trusting decisions, and redefine and integrate existing graph-based concepts to develop our proposed conceptual model. We introduce new behavioral antecedents of trusting decisions that have not been identified in previous research. We also identify novel operationalization methods to measure behavioral trust-inducing factors for online social networks. Our empirical findings indicate that both behavioral and network-specific trust decision-making factors should be considered in studying trusting decisions in online social networks.

摘要

在线社交社区的独特特征要求对已建立的信任决策行为理论进行重新审视和调整。在相关社会科学和计算图论的指导下，我们提出了在线社交网络中信任决策的概念模型。这是第一项将社交网络中现有的基于图的信任决策视图整合到信任的社会心理学理论中的研究，以提供对在线社交网络中信任决策的更丰富的理解。我们引入了信任决策的新行为前提，并重新定义和整合了现有的基于图的概念，以开发我们提出的概念模型。我们引入了先前研究中尚未确定的信任决策的新行为前因。我们还确定了新的操作化方法来衡量在线社交网络的行为信任诱导因素。我们的实证研究结果表明，在研究在线社交网络中的信任决策时，应同时考虑行为和网络特定的信任决策因素。