第三方
结构方程建模
数据库事务
认证
电子商务
信任锚
业务
信任管理(信息系统)
计算信任
可信第三方
可信赖性
信任网
付款
客户关系管理
计算机科学
互联网隐私
声誉
营销
计算机安全
万维网
机器学习
社会学
程序设计语言
法学
社会科学
政治学
作者
Cong Cao,Shanshan Huang
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:10: 127149-127167
被引量:3
标识
DOI:10.1109/access.2022.3226889
摘要
Consumers are reluctant to engage in e-commerce, due in part, to a lack of trust in the e-merchants, in the e-commerce technology and in the business process. Few prior studies investigating consumers' trust behaviour in relation to e-retailers have addressed different combinations of third-party services and third-party platforms. However, the importance of both of these to the cross-border e-commerce market is self-evident. This paper aims to explore the development of institutional trust in platforms based on the level of the third-party services provided and ultimately, to develop a complete study of online transaction intentions as driven by the platform institutions. An online survey was conducted to collect the data, and 445 respondents completed and returned the questionnaire. Based on the structure of the data, partial least squares structural equation modelling was used to assess the effects of specific factors on institutional trust and on initial trust. Preliminary findings suggest that third-party logistics, payments and certification significantly enhance consumers' trust in an online platform system and in turn, their trust in the e-retailers. Furthermore, the perceived usefulness of a platform and the trustworthiness of word-of-mouth comment can both significantly influence online trust. The study builds an extended online trust model to explore in greater detail. On the one hand, the model will enable platform management to understand users' demands for third-party services better and so improve the platform system. On the other hand, the model can help e-retailers to form a comprehensive understanding of the third-party platform system, and it can guide them in making use of a platform to improve their sales performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI