基于综合排序视角的在线商品销量的影响因素  

Factors influencing the online sales from the comprehensive sorting perspective

作　　者：李清[1] 张波 段习贤[1] LI Qing;ZHANG Bo;DUAN Xixian(School of Economics and Management,Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区：[1]天津职业技术师范大学经济与管理学院,天津300222

出　　处：《天津职业技术师范大学学报》2021年第3期64-68,共5页Journal of Tianjin University of Technology and Education

基　　金：教育部产学合作协同育人项目(201902011006).

摘　　要：研究了在线销量的影响因素,收集了淘宝销售数据,采用加权多元线性回归的方法进行分析。研究结果表明:综合排序对当月销量存在正向的影响;商品的历史销量对当月销量起到主要的作用;在综合排序的同样页面中,页面下半部分的商品比上半部分的销量更高;商品的价格、图片外观对销量的影响不显著。The factors influencing online sales were studied,and Taobao sales data were collected and analyzed using weighted multiple linear regression.The results of the study show that comprehensive ranking has a positive impact on the sales of the current month;the historical sales of goods plays a major role in the sales of the current month;in the same page of comprehensive ranking,the goods in the bottom half of the page have higher sales than those in the upper half;the price and the appearance of goods in the pictures demonstrate no significant effect on the sales.

关 键 词：回归分析 影响因素 在线商品 综合排序 销售量 

分 类 号：F724.6[经济管理—产业经济]