This study aims to provide an integrated model that examines the determinants of customer intention to use facial recognition systems (FRS) in quick-service restaurants (QSRs). An extended model built based on the unified theory of acceptance and use of technology (UTAUT) was tested via structural equation modeling (SEM) using data collected from a sample of 558 QSR customers. The results showed that perceived performance expectancy, social influence, and trust in the system significantly and positively affect customer intention to use FRS to access loyalty and payment accounts. Furthermore, customer hedonic motivation had a positive effect on the intention to use FRS for authorization to their loyalty accounts, but no effect on the intention to use this technology for payment account authorization. The developed model would be helpful to managers for making a decision of utilizing FRS in QSRs and promoting the technology among customers.

这项研究旨在提供一个综合模型，该模型检查决定顾客在快餐店（QSR）中使用面部识别系统（FRS）的意图的决定因素。使用从558个QSR客户的样本中收集的数据，通过结构方程模型（SEM）对基于技术接受和使用的统一理论（UTAUT）构建的扩展模型进行了测试。结果表明，预期的性能预期，社会影响力和对系统的信任度对客户使用FRS来访问忠诚度和支付帐户的意图产生了积极的影响。此外，客户享乐动机对使用FRS对其会员帐户进行授权的意图具有积极影响，但对使用此技术进行支付帐户授权的意图没有影响。