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作 者:余思勤 刘仲敏[2] YU Siqin;Liu Zhongmin(Shanghai Advanced Institute of International Shipping,Shanghai Maritime University,Shanghai,201306;School of Economics and Management,Shanghai Maritime University,Shanghai,201306)
机构地区:[1]上海海事大学上海高级国际航运学院,上海201306 [2]上海海事大学经济管理学院,上海201306
出 处:《上海大学学报(自然科学版)》2022年第6期1008-1021,共14页Journal of Shanghai University:Natural Science Edition
摘 要:结合因子分析(factor analysis,FA)、K-均值(K-means,KM)及群体多层次分析(group analytic hierarchy process,GAHP)构建FA-KM-GAHP模型,并对授信供应商风险进行群体共识一致性评价.实证研究显示:速动比率、产品价格的稳定性、产品质量问题与投诉的指标权重值分别是28.12%、15.85%及45.79%;授信供应商D2优于其他授信供应商13.82%~57.36%.基于此,提出了评估和选择授信供应商的建议,例如搭建联盟型区块链风险评价的共享平台等应对措施.This paper combines factor analysis(FA) theory,the K-means(KM) model,and the group analytic hierarchy process(GAHP) to construct the FA-KM-GAHP models to investigate the group consensus assessment of credit suppliers.The results show that quick ratio,stability of product price,and product quality and complaints account for28.12%,15.85%,and 45.79% of the attributes’ weight value,respectively.Credit supplier D2 is superior to other suppliers by 13.82% to 57.36%.Based on these findings,suggestions for assessing and choosing credit suppliers are proposed,such as sharing the platform construction of risk consensus assessment using consortium blockchain technology.
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