摘要
以淘宝十大品牌女装店为例,构建评价网店经营业绩的指标体系.采用改进的主成分分析法,精确评价网店的经营绩效并找出影响网民网购的重要因素.改进主成分方法也适用于对其他类别的网店或网站数据进行综合评价,具有较强的实用性.
This paper takes ten Taobao brand women's flagship stores as an example, trying to construct the index system of evaluation of online business performance. Also, this pa- per uses the improved principal component analysis method to evaluate the performance of the store and find out the important-factors that influence the online shopping. The im- proved principal component method has a strong practicality that can also be applied to the evaluation of other types of shop or website data.
作者
商玉萍
李超
潘团
SHANG YU-pinga LI Chaoa PAN Tuanb(a. School of Statistics and Applied Mathematic School of Economics, Anhui, University of Finance and Economics, Bengbu 233030,China)
出处
《牡丹江师范学院学报(自然科学版)》
2017年第2期41-44,共4页
Journal of Mudanjiang Normal University:Natural Sciences Edition
基金
国家社科基金青年项目(11CTJ006)
安徽财经大学研究生科研创新基金项目(ACYC2015090)
关键词
淘宝
网购
改进主成分方法
绩效评价
Taobao
online shopping
improved principal component method
performanceappraisal