An empirical analysis of online shopping adoption in Beijing, China

被引:147
作者
Clemes, Michael D. [1 ]
Gan, Christopher [1 ]
Zhang, Junli [1 ]
机构
[1] Lincoln Univ, Fac Commerce, POB 84, Christchurch 7647, Lincs, New Zealand
关键词
B2C online shopping; Electronic market; Logit regression analysis; China;
D O I
10.1016/j.jretconser.2013.08.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
The Internet is a global communication medium that is increasingly being used worldwide as an innovative tool for marketing goods and services. At the end of 2010, Internet users in China reached 420 million. However, online shopping in China is not widely practiced and organisations investing in B2C online shopping need to understand the factors that affect Chinese consumers' online buying behaviour. This research develops a theoretical research model as a framework to identify the key decision factors influencing Chinese consumers' to shop, or not to shop online. A self-administered questionnaire was used to gather information from 435 respondents in Beijing, China. The empirical analysis identifies and ranks seven important decision factors: perceived risk, consumer resources, service quality, subjective norms, product variety, convenience, and website factors. All of these decision factors impact on Chinese consumers' adoption of online shopping. Moreover, managerial implications and recommendations are also presented. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:364 / 375
页数:12
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