Impact of product attributes of online shopping clothing on customer fit satisfaction

被引：0
|
作者：
Xiao P. [1 ,2 ,3 ]
Zhang Z. [1 ,2 ,3 ]
Qin W. [1 ]
Fan J. [1 ]
机构：
[1] College of Fashion and Design, Donghua University, Shanghai
[2] Shanghai Institute of Design and Innovation, Tongji University, Shanghai
[3] Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, Shanghai
来源：
Fangzhi Xuebao/Journal of Textile Research | 2019年 / 40卷 / 06期
关键词：
Body index; Customer fit satisfaction; Online shopping clothing; Product attribute;
D O I：
10.13475/j.fzxb.20180805806
中图分类号：
学科分类号：
摘要：
In order to investigate the influence of the product attributes on the customer fit satisfaction, the clothing product descriptions of 35 Taobao women's clothing store were combed. 8 display attributes related to the fit of online shopping clothing and 7 product attributes were extracted. The research framework was developed based on the S-O-R model. 204 valid samples were collected by web-based survey. A stepwise regression model was developed to estimate the influence of various product properties on customer fit satisfaction scores. The results show that customers pay more attention to reading the size chart and product indexes. However, the external attributes of the product have statistically significant influence on the customer fit satisfaction, and a positive correlation exists between the two. At the same time, the influence of body mass index(BMI) on the customer fit satisfaction was further studied. It is found that under different BMI models, the product attributes influencing the customer fit satisfaction have a significant difference, and the validity information of different target customer groups can be obtained. Copyright No content may be reproduced or abridged without authorization.
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页码：91 / 96
页数：5
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