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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2016     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 核心企业主导的农业供应链金融模式分析-以智慧大北农为例 学位论文 2016, 2015 林婷婷 收藏  |  浏览/下载：3/0  |  提交时间：2017/06/20 农业供应链金融模式  核心企业主导  信息服务平台  The financing model of agricultural supply chain  Orientation of core enterprises  Information service platform   Predicting China's SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models 期刊论文 SUSTAINABILITY, 2016, 卷号: 8, 期号: 5 作者:  Zhu, You;  Xie, Chi;  Sun, Bo;  Wang, Gang-Jin;  Yan, Xin-Guo 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05 supply chain financing (SCF)  credit risk  small and medium-sized enterprises (SMEs)  core enterprises (CEs)  financial institutions (FIs)  logistic regression (LR)  artificial neural network (ANN)  two-stage hybrid model   Predicting China's SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models 期刊论文 SUSTAINABILITY, 2016, 卷号: 8, 期号: 5 作者:  Zhu, You;  Xie, Chi;  Sun, Bo;  Wang, Gang-Jin;  Yan, Xin-Guo 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05 supply chain financing (SCF)  credit risk  small and medium-sized enterprises (SMEs)  core enterprises (CEs)  financial institutions (FIs)  logistic regression (LR)  artificial neural network (ANN)  two-stage hybrid model   The resource evolution of standard alliance by technology standardization 期刊论文 Chinese Management Studies, 2016, 卷号: Vol.10 No.4, 页码: 787-801 作者:  Wang, DP;  Wei, XY;  Fang, F 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31 Standardization  Core enterprises  Dynamic match  Resource evolution mechanism  Standard alliance   Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models 期刊论文 Sustainability, 2016, 卷号: Vol.8 No.5 (May), 页码: 433 作者:  Zhu, Y;  Xie, C;  Sun, B;  Wang, GJ;  Yan, XG 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/31 supply chain financing (SCF)  credit risk  small and medium-sized enterprises (SMEs)  core enterprises (CEs)  financial institutions (FIs)  logistic regression (LR)  artificial neural network (ANN)  two-stage hybrid model