文章摘要
聂峰英.大数据环境下基于ANP的零售业供应链影响评价[J].情报工程,2015,1(5):032-042
大数据环境下基于ANP的零售业供应链影响评价
The assessment of the impact of the retail supply chain based the ANP under the large data environments
  
DOI:10.3772/j.issn.2095-915X.2015.05.005
中文关键词: 大数据,零售业,供应链,网络层次分析法(ANP)
英文关键词: Big data, retail, supply chain, analytic network process (ANP)
基金项目:国家自然科学基金项目“基于供应链的产业绿色低碳多重耦合协同演进机制及政策研究”(项目编号:71273140),中国气象局软科学项目“大数据环境下气象信息资源协同创新机制研究”(项目编号:气法函[2014]27号)。
作者单位
聂峰英 南京信息工程大学科技查新站 
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中文摘要:
      “大数据+传统零售业”是未来零售商转型升级获得竞争力的方向。文章从时间、成本、效率、客户体验等多方面分析大数据创造的竞争优势,阐述大数据在以零售业为核心的供应链(采购、物流、客户、平台)中的影响,提出零售业供应链评价指标,构建基于ANP的评价体系。合理真实的评估结果,验证了大数据在零售业中大范围应用的可能性。
英文摘要:
      Big Data + traditional retail is the direction for the retailers to gain competitive advantage in the future. This paper analyzes the competitive advantage that big data creates from the time, cost, efficiency,customer experience, and other aspects, and analyzes the impact of big data on the supply chain(procurement,logistics, customer, platform) which is the core of retail industry. This paper puts forward the retail supply chain evaluation index and constructs the evaluation system based on ANP. Reasonable evaluation results verify the possibility of a large scope of application for the big data in retailing.
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