Trust, Perceived Benefit, and Purchase Intention in C2C E-Commerce

Weiyong Zhang, Shukuan Zhao, Yiwen Fang, Hong Jiang

OAI: oai:igi-global.com:242969 • DOI: 10.4018/JGIM.2020010107

It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. Specifically, this research empirically assesses the differences in effect size due to the change of context. First, a theoretical model linking trust, perceived benefit, and their antecedents to purchase intention is developed upon the literature. Then the model is evaluated using empirical data collected at Taobao, the largest C2C e-commerce website in China. Partial least squares based structural equation modeling (PLS-SEM) results strongly support the model and research hypotheses. A developing country context can indeed affect the strength of effect. These results contribute to the literature in that they provide new insights toward a more in-depth theoretical understanding. Meanwhile, they can also provide useful guidance for managers.

Global Information Technology Computer Science and Information Technology IT Research and Theory