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

机译:一种在物流资源共享网络中隐藏隐含意图和可信度的方法

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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 ride-sharing platform.
机译:共享物流资源的协作旨在平衡闲置,效率低下和未充分利用的资源的供求。尽管共享是有益的,但是许多问题(例如隐私,安全性,时间,法规,安全性,偏颇的评论和评分)阻碍了共享。这样的问题产生了许多不确定性,结果导致对共享资源的信任度低。同时,现有的解决方案(例如信任和信誉机制以及在线评论和评级)考虑的因素最少,可以监视合作伙伴的隐藏意图和行为。因此,本文提出了一种方法来揭示参与资源共享的合作伙伴的隐藏意图和信任度。该方法基于认知原理,以探索物流资源的供应商和消费者的意图和可信度。以从乘车共享平台提取的工业案例为例,说明了该方法的应用。

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