人口统计学的
德国的
移民
数据库事务
数字本机
互联网
情感(语言学)
计算机科学
互联网隐私
万维网
集合(抽象数据类型)
客户群
认知
业务
广告
心理学
营销
政治学
社会学
地理
数据库
人口学
考古
沟通
法学
程序设计语言
神经科学
作者
Christian Pieter Hoffmann,Christoph Lutz,Miriam Meckel
标识
DOI:10.1080/07421222.2014.995538
摘要
Previous research suggests that user characteristics such as web experience and demographics may affect online trust. Drawing on social cognitive theory, we explore the moderating effect of user characteristics on online trust. Based on a survey of German Internet users, we differentiate three groups by age, web experience, and education. We term these groups digital natives, digital immigrants, and naturalized digitals. A multiple-group analysis reveals significant differences in trust formation, particularly in the cues considered in the evaluation of online services. Whereas a large user base inspires confidence in digital natives, naturalized digitals are more geared toward familiar brands and recommendations. Digital immigrants most critically weigh the risks of a transaction against its benefits. We argue that specific user characteristics are associated with distinct cognitive schemata, implying distinct interests and evaluations in online transactions. Online services should differentiate their signaling efforts according to the targeted customer group.
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