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Analyzing impact of financial information sharing on supply chain performance and stability: system dynamics approach

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relativel...

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Published in:Journal of international logistics and trade 2010, 8(2), , pp.91-116
Main Authors: 이태호, 박정수, Jung Ung Min
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Language:English
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container_title Journal of international logistics and trade
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creator 이태호
박정수
Jung Ung Min
description The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance. The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain. In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain. In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance. Assuming the supply chain, composed of supplying company , manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing. KCI Citation Count: 2
doi_str_mv 10.24006/jilt.2010.8.2.005
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title Analyzing impact of financial information sharing on supply chain performance and stability: system dynamics approach
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