Collaboration on resource sharing advocates a joint usage of resources by multiple parties (actors) to attain mutual benefits. Resource sharing becomes vital when resources under consideration are scarce, challenging, and expensive to attain; as well when they are idle or underutilized. In collaborative logistics, resource sharing entails the joint usage of the physical and non-physical assets. Shared assets include the transportation vehicles (trucks), warehouses, distribution centers, information, on-demand staffing, and logistics services offered under cloud computing. Through sharing, collaborating partners in logistics can reduce costs and harms to the environment, but also improve the efficiency of logistical functions. Although collaborative sharing is beneficial, still many difficulties impede its uptake. The difficulties include how to choose partners, establish and maintain trust among partners involved. Indeed, in both academia and industry, low-level trust inhibits the collaboration critically on sharing logistics resources. To this end, the present dissertation addresses the trust problem encountered by collaborating partners when they are sharing logistics resources. It deals with the trust problem by developing the Trust Mechanism (TrustMech) concept. The primary role of the TrustMech is to help logistics stakeholders acquire the far-reaching understanding about the trustworthiness of prospective networks of sharing they configure, before advancing them to an implementation stage. The TrustMech stands on a mitigation approach that focuses on estimating outcomes of trust uncertainties a rather than a their sources. Henceforth, this dissertation advances on estimating outcomes of trust uncertainties to answer the following central Research Question (RQ): how can collaborating partners acquire the far-reaching understanding about the trustworthiness of prospective networks of sharing they configure? An approach to the research problem, which as well answers the RQ proceeds as follows. The first steps involve establishing behavioral factors and parameters, which influence trust in collaborative sharing of logistics resources. The second stage entails establishing a conceptual framework that depicts and guides trust-based interaction of collaborating partners. The third step comprises developing the TrustMech concept, validating it in both the conceptual and operational aspects, and demonstrating its application by carrying out controlled (simulation) experiments in Multi-Agent Systems. In particular, the proposed TrustMech concept characterizes fundamental logical processes that account for trusting decisions, actions, and reactions of collaborating partners to reinforce emergent trusting outcomes The core contributions of this dissertation are the general-purpose TrustMech and the operational TrustMech. The operational TrustMech is customary for collaborative sharing of logistics resources. Regarding its application, the operational TrustMech provides logistics managers and stakeholders the ability to forecast how a configured network of sharing may, in respect of trustworthiness, function upon its implementation. To clarify further, the operational TrustMech scrutinizes many issues. For example, it scrutinizes trustworthiness of the configured network regarding possible strengths and pitfalls and provides pathway explanations underlying such foreseen strengths and pitfalls. Secondly, the operational TrustMech scrutinizes effects which such strengths and pitfalls can generate. Moreover, the operational TrustMech estimates an extent to which behavioral factors influence the trustworthiness of the individual partner and entire resource sharing network. Future research works include extending the TrustMech and replicating the study using system data. Additional future work consists of adjusting the design and settings used, as well as incorporating additional predictor and response variables into the operational TrustMech.
