| 大数据智能推荐技术应用下供应链决策优化研究 |
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| 引用本文： | 贾梦珠,钟远光,李斐,傅冬兰.大数据智能推荐技术应用下供应链决策优化研究[J].科技管理研究,2022,42(9):162-167. |
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| 作者姓名： | 贾梦珠 钟远光 李斐 傅冬兰 |
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| 作者单位： | 华南理工大学工商管理学院,广东广州 510641,广东科贸职业学院,广东广州 510640 |
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| 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。
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| 关 键 词： | 大数据 智能推荐 直播带货 供应链优化 |
| 收稿时间： | 2021/10/19 0:00:00 |
| 修稿时间： | 2021/11/3 0:00:00 |
Supply Chain Optimization under the Adoption of Big Data Intelligent Recommen-dation Technology |
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| Jia Mengzhu,Zhong Yuanguang,Li Fei,Fu Donglan.Supply Chain Optimization under the Adoption of Big Data Intelligent Recommen-dation Technology[J].Science and Technology Management Research,2022,42(9):162-167. |
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| Authors: | Jia Mengzhu Zhong Yuanguang Li Fei Fu Donglan |
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| Abstract: | Big data intelligent recommendation technology is a common technology in the Internet in-dustry today. The use of big data intelligent recommendation technology to accurately push to specific tag groups can greatly increase the sales volume of live streaming, 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. And came to the following conclusions, for small and medi-um-sized e-commerce companies, only when the big data intelligent recommendation tech-nology level is in a certain range, and the potential market share of live broadcast delivery meets certain conditions, retailers can profit from it. |
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| Keywords: | Big data intelligent recommendation live delivery of goods supply chain optimization |
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