Trust has been identified as inevitable for technology acceptance and might further gain importance as technologies become increasingly complex. However, previous research on trust in online environments lacks a systematic configuration of trust entities in research models; some studies include either trust in technology or trust in provider, others both. In combination with inconsistent results, this leads to a lack of in-depth knowledge about the trust entities’ relationship to each other, to their antecedents, and intention to use. Therefore, this study aims at clarifying these relationships and examining how they vary for different configurations. We performed pairwise meta-analyses to generate summary effects for the individual trust entities and examined four different trust configurations by applying meta-analytic structural equation modeling (MASEM). Our findings advance technology acceptance and trust research and highlight the necessity to carefully configure trust. More specifically, the results from pairwise meta-analysis support a strong relationship between the trust entities that is, however, countered by the effects of antecedents in MASEM. Institution-based trust and reputation are found stronger predictors for trust in provider and familiarity a stronger determinant of trust in technology. Furthermore, the trust entities show comparable paths to intention to use when either trust entity is included in the research model, but when both are integrated, trust in technology is more important than trust in provider.

信任被认为是技术接受不可避免的，并且随着技术变得越来越复杂，信任可能会进一步变得重要。然而，以往对网络环境信任的研究缺乏对研究模型中信任实体的系统配置；一些研究包括对技术的信任或对提供商的信任，其他研究则两者都包括。加上不一致的结果，这导致缺乏对信任实体之间的关系、其前因和使用意图的深入了解。因此，本研究旨在阐明这些关系并研究它们如何因不同配置而变化。我们进行了成对荟萃分析，以生成各个信任实体的汇总效应，并通过应用荟萃分析结构方程模型 (MASEM) 检查了四种不同的信任配置。我们的研究结果推进了技术接受度和信任研究，并强调了仔细配置信任的必要性。更具体地说，成对元分析的结果支持信任实体之间存在牢固的关系，然而，MASEM 中的先行因素的影响却抵消了这种关系。基于机构的信任和声誉是对提供商信任的更强有力的预测因素，而熟悉度是对技术信任的更强有力的决定因素。此外，当任一信任实体包含在研究模型中时，信任实体显示出可比较的使用意图路径，但当两者整合时，对技术的信任比对提供商的信任更重要。