构造(python库)
成对比较
忠诚
荟萃分析
度量(数据仓库)
心理学
电子商务
业务
计算机科学
营销
万维网
数据挖掘
医学
内科学
发展心理学
程序设计语言
作者
Yeolib Kim,Robert A. Peterson
标识
DOI:10.1016/j.intmar.2017.01.001
摘要
A meta-analysis examined the role of online trust in business-to-consumer e-commerce. The analysis of 16 pairwise relationships derived from 150 empirical studies involving online trust revealed that online trust exhibits significant relationships with selected antecedents (e.g., perceived privacy, perceived service quality) and consequences (e.g., loyalty, repeat purchase intention). Even so, additional analyses demonstrated that methodological characteristics such as study design, website type, and type of items used to measure the trust construct moderated certain online trust relationships. These additional analyses indicated that the relationships between online trust and its respective antecedents and consequences are simultaneously more idiosyncratic, complex, and subtle than previously envisioned. Implications of the analyses for theory, practice, and future research are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI