大数据视角下的采购风险评估--基于某服务采购企业的案例分析
Procurement risk evaluation from a big-data perspective: A case study of a procurement service company
查看参考文献46篇
文摘
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在经济全球化和专业化分工的背景下,企业供应链管理的各个环节面临着越来越大的风险. 跨界的大数据及其分析技术通过提升数据的“可视性”,为企业的风险管理带来了新的工具和手段. 本文聚焦企业运营管理中的采购环节,分析如何利用大数据来评估采购风险.通过梳理一家典型服务采购企业采购流程中面临的各种风险,我们提出了一个“5+X”的采购风险分类框架;其中包括环境风险、竞争风险、道德风险、财务风险、履约风险以及内控风险.我们给出了测度各类风险可能的数据来源以及处理方法.通过一个案例研究我们展示了基于大数据的采购风险评估的具体实施. |
其他语种文摘
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In the environment of globalization and specialization, enterprises are facing increasing risks in all aspects of their supply chain management. By enhancing the data "visibility", the cross-boundary big data and its analytical techniques have provided a new means of risk evaluation and risk management. This paper focuses on the procurement function of enterprise operations management and investigates several issues in procurement risk evaluation from the big-data perspective. Based on a survey of the procurement process of a typical purchasing service company, we propose a "5+X" framework to classify the risks involved in procurement. Specifically, we consider environment risk, competition risk, moral risk, financial risk, fulfillment risk, and internal-control risk. For each category of risk, we propose the potential data source and its handling techniques. Based on an illustrative case study, we demonstrate the implementation steps of procurement risk assessment based on big data analytics. |
来源
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系统工程理论与实践
,2021,41(3):596-612 【核心库】
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DOI
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10.12011/setp2019-1219
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关键词
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大数据
;
采购风险
;
风险评估与管理
;
供应链管理
;
运营管理
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地址
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1.
清华大学经济管理学院现代管理研究中心, 北京, 100084
2.
北京理工大学管理与经济学院, 北京, 100081
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-6788 |
学科
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社会科学总论 |
基金
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国家自然科学基金
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文献收藏号
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CSCD:6938763
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