The financial services sector is undergoing substantial change due to technological innovation and digitalization. Traditional banks face intensifying competition through the market entry of digital investment platforms that make use of automated investment advisory, so-called robo advisors. Based on replica of two German robo advisors, a sample of 96 participants assessed their intention to use such digital investment services. The results obtained using partial least squares (PLS) path modelling indicate that perceived usefulness and privacy are the most decisive factors with a one percent higher perceived usefulness (higher privacy) increasing usage intentions by 0.57 % (0.25 %). The results are robust to various socio-demographic and FinTech-related controls as well as alternative estimation procedures such as generalized structured component analysis (GSCA).

由于技术创新和数字化，金融服务业正在发生重大变化。传统银行通过使用自动化投资咨询（即所谓的机器人顾问）的数字投资平台的市场准入面临日益激烈的竞争。根据两名德国机器人顾问的复制品，96 名参与者的样本评估了他们使用此类数字投资服务的意图。使用偏最小二乘法 (PLS) 路径建模获得的结果表明，感知有用性和隐私是最具决定性的因素，感知有用性高 1%（更高的隐私）会使使用意图增加 0.57% (0.25%)。