大数据智能推荐技术应用下供应链决策优化研究  

Supply Chain Optimization under the Adoption of Big Data Intelligent Recommendation Technology

作　　者：贾梦珠 钟远光[1] 李斐 傅冬兰[2] Jia Mengzhu;Zhong Yuanguang;Li Fei;Fu Donglan(School of Business Administration,South China University of Technology,Guangzhou 510641;Guang Dong Polytechnic Of Science And Trade,Guangzhou 510640,China)

机构地区：[1]华南理工大学工商管理学院,广东广州510641 [2]广东科贸职业学院,广东广州510640

出　　处：《科技管理研究》2022年第9期162-167,共6页Science and Technology Management Research

摘　　要：以直播带货供应链为背景,研究大数据智能推荐技术水平在何种条件下才能使得供应链中的零售商引入直播带货盈利的问题。研究认为对于中小型电商企业而言,只有在大数据智能推荐技术水平处于一定范围,且直播带货的潜在市场份额也满足一定条件时,零售商才能从中盈利。This article uses live streaming as the background,to study the conditions under which the big data intelligent recommendation technology level can enable retailers in the supply chain to introduce the profitability of live streaming.The paper came to the following conclusion:for small and medium-sized e-commerce companies,only when the big data intelligent recommendation technology level is in a certain range,and the potential market share of live broadcast delivery meets certain conditions,can retailers profit from it.

关 键 词：大数据 智能推荐 直播带货 供应链优化 

分 类 号：G301[文化科学]