An empirical study on customers' acceptance of Web stores

Zheng Yang, Xiaoli Tan, Y. Mao, Jimo Liu
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Abstract

This paper seeks to find out customers' preference towards Web stores. To serve the purpose, a Fishbein's multi-attribute attitude model was employed to empirically investigate the customers' attitudes toward different product categories at the Web stores. We view the consumer's intention of shopping from the Web stores as a function of beliefs about the attributes possessed by the Web stores weighted by the importance of each attribute. Web-based as well as paper-based surveys are conducted to support the analysis, and we find out products are less acceptable at the Web stores than at the traditional stores t different product categories do have different customers' indices of the Web stores. We also find that non-student shoppers appear to be more positive toward online shopping. Nevertheless, the results from our survey indicate that the gender effect and the experience effect on the acceptance index of the Web stores are not statistically significant.
顾客对网络商店接受度的实证研究
本文试图找出消费者对网络商店的偏好。为此,本文采用Fishbein的多属性态度模型,对网上商店顾客对不同品类产品的态度进行实证研究。我们认为消费者从网上商店购物的意图是对网上商店所拥有的属性的信念的函数,每个属性的重要性加权。我们进行了基于Web和基于纸张的调查来支持分析,我们发现网络商店的产品比传统商店的产品更难以接受,因为不同的产品类别确实有不同的网络商店的客户指数。我们还发现,非学生购物者似乎对网上购物更积极。然而,我们的调查结果表明,性别效应和经验效应对网络商店接受指数的影响并不具有统计学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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