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• W2004510681 abstract "From a practical perspective, a novel method using multi-category support vector machines (MC-SVM) is proposed to identify supply chain disruptions (SCD). With the data related to economic performance from quarter statements and individual announcements published by the listed firms, the variables of MC-SVM are constructed firstly. Secondly, MC-SVM is used for matching the portfolios of firms, which helps the map from economic performance to SCD by applying MC-SVM again. Finally, a case study is given to testify the ability of proposed method with the data from the listed firms in China." @default.
• W2004510681 created "2016-06-24" @default.
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• W2004510681 date "2014-12-01" @default.
• W2004510681 modified "2023-09-24" @default.
• W2004510681 title "Identification of supply chain disruptions with economic performance of firms using multi-category support vector machines" @default.
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• W2004510681 doi "https://doi.org/10.1080/00207543.2014.974838" @default.
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