摘要
以2016年天猫"双十一"的销售数据为切入点,利用网络爬虫、因子分析及回归分析等方法对影响"双十一"天猫平台各类商品销量的因素进行了探究,结果显示,质量得分对高端商品销量的影响更显著,知名度对于低涉入度商品的影响更显著,消费者对高价商品的折扣力度更敏感,折扣力度的边际效应随着商品使用期的增长而递增。随着商品价格的提高,价格对销量的影响由负向变为正向,而价格、销量及差评对于当天销量的调节作用也确实存在。
This paper takes the sales data of "Double 11" of Tmall in 2016 as the breakthrough point,explores the factors of affecting the day sales volume of all kinds of commodities on the Tmall in Nov. 11 byusing the methods of web crawler, factor analysis and regression analysis. The results display that thequality score impacts the sales volume of high-end goods more significantly, the affect of popularity ismore signiiicant to the low involvement goods,the consumers are more sensitive to discounts on higher priced goods,and the marginal utility of discount intensity increases progressively with the growth of commodityuse period. It has been proved that, as the commodity prices rise, the impact of price on sales volumechanges from negative to positive, also the price,sales volume and negative comment of commodities could regulate the sales volume in “Double 11”.
作者
谢琦
邵晓峰
XIE Qi SHAO;Xiao feng(Antai College of Economia and Management, Shanghai Jiao Tong Uiniversity, Shanghai 20005)
出处
《上海管理科学》
2018年第3期44-51,共8页
Shanghai Management Science
基金
国家自然科学基金项目"基于客户选择模型的产品差异化策略与组合决策研究"(71372106)
关键词
“双十一”销量
因子分析
回归分析
调节效应
网络爬虫
“Double 11” sales volume
factor analysis
regression analysis
regulation effect
web crawler