首页|大数据下企业供应链风险管理与竞争情报融合模型构建——以华为公司为例

大数据下企业供应链风险管理与竞争情报融合模型构建——以华为公司为例

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[研究目的]国际经贸对抗环境下,中美贸易摩擦将持续升级,国家层面的技术创新竞争使得企业面临的供应链风险大幅提升.同时,大数据改变了供应链风险管理模式,而竞争情报可以从理论、技术和方法等方面提升大数据下企业供应链风险管理能力,因此大数据下企业供应链风险管理与竞争情报的融合研究具有重要意义.[研究方法]采用文献分析、案例研究等方法,分析供应链风险管理与竞争情报的异同点,继而论证大数据下供应链风险管理与竞争情报融合的可行性和必要性,再辅之以标杆企业华为的供应链中断风险事件验证,最终构建大数据下华为供应链风险管理与竞争情报融合模型,并分析运行维护此模型的保障要素.[研究结论]研究表明,基于战略、组织、制度、技术和资源五要素的共同保障,大数据下供应链风险管理与竞争情报的融合能够实现供应链风险管理的全面性、及时性和有效性.
Construction of Enterprise Supply Chain Risk Management and Competitive Intelligence Integration Model in Big Data Environment:A Case Study of Huawei
[Research purpose]Under the environment of international economic and trade confrontation,the trade friction between China and the United States will continue to escalate,and the competition of technological innovation at the national level makes the supply chain risk faced by enterprises increase dramatically.At the same time,big data has changed the supply chain risk management mode.Competi-tive intelligence can improve the enterprise supply chain risk management ability under big data from the aspects of theory,technology and method,so the research on the integration of enterprise supply chain risk management and competitive intelligence under big data is of great significance.[Research method]We use literature analysis,case studies and other methods to analyze the similarities and differences be-tween supply chain risk management and competitive intelligence,then argue the feasibility and necessity of the integration of supply chain risk management and competitive intelligence under big data,supplemented by the case of Huawei's supply chain disruption risk events as a benchmark enterprise verification,and finally construct Huawei's integration model of supply chain risk management and competitive in-telligence under big data,followed by an analysis of the guarantee elements of operation and maintenance of the model.[Research con-clusion]The study shows that the integration of supply chain risk management and competitive intelligence under big data can achieve the comprehensiveness,timeliness and effectiveness of supply chain risk management based on the joint guarantee of the five elements of strat-egy,organization,system,technology and resources.

big datasupply chaincompetitive intelligenceintelligence perceptionrisk managementrisk warningguarantee ele-mentsSCRMCIHuawei

宋新平、刘馥宁、申真、李明星

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江苏大学管理学院 镇江 212013

大数据 供应链 竞争情报 情报感知 风险管理 风险预警 保障要素 SCRMCI 华为

国家社会科学基金

21BTQ070

2024

情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子:1.502
ISSN:1002-1965
年,卷(期):2024.43(6)