Efficient resource sharing in logistics requires trust to support partners to collaborate. However, trust uncertainties resulting from partner behavior and collaborative processes impede needed sharing. Such uncertainties hinder efforts to reduce: logistics costs; underutilization of physical assets, and; harms to the environments. Thus, this dissertation developed a Trust Mechanism (TrustMech) concept to help partners to forecast trustworthiness of prospective resource sharing networks. The TrustMech unveils how partner behavior under the influence of collaborative logistics processes reinforces trusting outcomes. The TrustMech stands on a conceptual paradigm of socio-cognition, and; its validation and application build on experimentation in Multi-Agent Systems.
