An Approach for Surfacing Hidden Intentions and Trustworthiness in Logistics Resource Sharing Networks

Abstract

Collaboration on sharing logistics resources aims to balance supply and demand of the idle, inefficiently, and underutilized resources. Although sharing is beneficial, many issues such as privacy, security, time, regulations, safety, biased reviews, and ratings hinder the sharing. Such problems procreate many uncertainties, which as a consequence, lead to low trust in sharing resources. Meanwhile, existing solutions such as trust and reputation mechanism, and online reviews and ratings incorporate the least consideration to monitor hidden intentions and behaviors of partners. Therefore, this paper proposes an approach to surface hidden intentions and trustworthiness of partners involved in sharing resources. The approach stands on cognitive principles to explore intentions and trustworthiness of suppliers and consumers of logistics resources. Application of the proposed approach is illustrated using industrial case extracted from ridesharing platform.