The quantify and dynamic evolution of trust among supply chain

Lisong Yin, Lisheng Yin, Yigang He
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Abstract

Using system dynamics methods, this article grasps firmly the information bond of trust, considers the interaction among information, trust, logistics, capital flow, profits flow, study the quantify and dynamic evolution of trust among supply chain and carries out a simulation. The results show that: if the amount of information is great, the trust track point will appears in advance and trust will always be high. If information quality is good, the trust track point occurs early, but with the cycle progresses, the trust will tend to be the same level.
供应链信任的量化与动态演化
本文运用系统动力学的方法,紧紧抓住信任的信息纽带,考虑信息、信任、物流、资金流、利润流之间的相互作用,研究供应链间信任的量化和动态演化,并进行仿真。结果表明:当信息量较大时,信任轨迹点会提前出现,信任始终处于较高水平。信息质量好的情况下,信任轨迹点出现得早,但随着周期的推进,信任会趋于同一水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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