The quantify and dynamic evolution of trust among supply chain
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...
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| creator | Lisong Yin Lisheng Yin Yigang He |
| description | 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. |
| doi_str_mv | 10.1109/URKE.2012.6319557 |
| format | Conference Proceeding |
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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.</description><identifier>ISBN: 9781467314596</identifier><identifier>ISBN: 1467314595</identifier><identifier>EISBN: 1467314609</identifier><identifier>EISBN: 9781467314602</identifier><identifier>DOI: 10.1109/URKE.2012.6319557</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bond ; Decoding ; Educational institutions ; Information ; Information security ; Interaction ; Noise ; Pollution ; Supply chains ; SupplyChain ; Trust Track Point</subject><ispartof>2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering, 2012, p.248-251</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6319557$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6319557$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lisong Yin</creatorcontrib><creatorcontrib>Lisheng Yin</creatorcontrib><creatorcontrib>Yigang He</creatorcontrib><title>The quantify and dynamic evolution of trust among supply chain</title><title>2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering</title><addtitle>URKE</addtitle><description>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. 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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.</description><subject>Bond</subject><subject>Decoding</subject><subject>Educational institutions</subject><subject>Information</subject><subject>Information security</subject><subject>Interaction</subject><subject>Noise</subject><subject>Pollution</subject><subject>Supply chains</subject><subject>SupplyChain</subject><subject>Trust Track Point</subject><isbn>9781467314596</isbn><isbn>1467314595</isbn><isbn>1467314609</isbn><isbn>9781467314602</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKxDAYhSMiqGMfQNzkBVpzmVz-jSDDeMEBQep6SNPEibRpbVqhb2_BnsV3-DYHDkK3lBSUErj__HjbF4xQVkhOQQh1hq7pViq-gMA5ykDp1QXIS5Sl9E2WaCaYhCv0UJ4c_plMHIOfsYk1rudo2mCx--2aaQxdxJ3H4zClEZu2i184TX3fzNieTIg36MKbJrls7Q0qn_bl7iU_vD-_7h4PeQAy5t6TCpyWSktpKZBaE5DMAoD1W85sraxw2nAhtOTG1raqTLUIMZQrToBv0N3_bHDOHfshtGaYj-tj_gcD8Eml</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Lisong Yin</creator><creator>Lisheng Yin</creator><creator>Yigang He</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>The quantify and dynamic evolution of trust among supply chain</title><author>Lisong Yin ; Lisheng Yin ; Yigang He</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ff0b9e867866c190d80962c999cf432cd7c5e8a355863acdcbbab5580a1373093</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bond</topic><topic>Decoding</topic><topic>Educational institutions</topic><topic>Information</topic><topic>Information security</topic><topic>Interaction</topic><topic>Noise</topic><topic>Pollution</topic><topic>Supply chains</topic><topic>SupplyChain</topic><topic>Trust Track Point</topic><toplevel>online_resources</toplevel><creatorcontrib>Lisong Yin</creatorcontrib><creatorcontrib>Lisheng Yin</creatorcontrib><creatorcontrib>Yigang He</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lisong Yin</au><au>Lisheng Yin</au><au>Yigang He</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The quantify and dynamic evolution of trust among supply chain</atitle><btitle>2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering</btitle><stitle>URKE</stitle><date>2012-08</date><risdate>2012</risdate><spage>248</spage><epage>251</epage><pages>248-251</pages><isbn>9781467314596</isbn><isbn>1467314595</isbn><eisbn>1467314609</eisbn><eisbn>9781467314602</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/URKE.2012.6319557</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bond Decoding Educational institutions Information Information security Interaction Noise Pollution Supply chains SupplyChain Trust Track Point |
| title | The quantify and dynamic evolution of trust among supply chain |
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