Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience

Zhang Luyu
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Abstract

: Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.
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大数据分析能力对企业供应链弹性的影响研究
基于当前经济环境,从动态能力的角度出发,将大数据分析能力分为大数据感知能力、大数据捕获能力和大数据转化能力,将供应链双灵巧性分为供应链敏捷性和供应链适应性。采用问卷调查的方法,量化大数据分析能力(BDAC)对供应链弹性(SC-RE)的影响。共向企业供应链节点管理人员发放问卷300份,获得有效问卷217份。问卷数据回归结果显示,BDAC与SC-RE呈正相关。供应链二元性(SC-AM)与SC-RE呈正相关。SC-AM在BDAC对SC-RE的正向作用中起部分中介作用。根据本文的回归结果和已有学者的研究成果,得出相应的结论,并对企业管理者提出一些建议。BDAC是提高供应链企业绩效水平和竞争实力的有效途径。企业应重视大数据中蕴含的有用信息,采取一定措施增强BDAC,提高企业的信息处理能力和速度,降低风险发生的概率,从而提高企业的供应链弹性,提高供应链风险管理水平。
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