The quantify and dynamic evolution of trust among supply chain

Lisong Yin, Lisheng Yin, Yigang He
{"title":"The quantify and dynamic evolution of trust among supply chain","authors":"Lisong Yin, Lisheng Yin, Yigang He","doi":"10.1109/URKE.2012.6319557","DOIUrl":null,"url":null,"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.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URKE.2012.6319557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Driving system stability analysis and improving of IPMSM Bayesian network structure learning for discrete and continuous variables Development of genetic algorithm on multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system Inter-transaction association rule mining in the Indonesia stock exchange market Extreme graphs with given order and edge-neighbor-scattering number
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1