Exploring customer adoption of autonomous shopping systems
نویسندگان
چکیده
Autonomous technology is on the rise, allowing customers to delegate shopping tasks and decisions such artificial intelligence-based systems. However, trust privacy issues are impeding adoption of technology. This study examines factors affecting autonomous A conceptual framework developed by adding moderating variables concern UTAUT model. Using a quantitative research design, data collected from 454 respondents analysed using covariance-based structural equation modelling. Results show that performance expectancy, effort social influence, facilitating conditions positively impact perceived in Privacy as moderator dampens positive relationship between expectancy trust. Also, concerns dampen influence one first empirically examine customers’ system intention revising with concerns. These findings generate valuable insights into an under-researched area customer behaviour intelligence.
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ژورنال
عنوان ژورنال: Telematics and Informatics
سال: 2022
ISSN: ['0736-5853', '1879-324X']
DOI: https://doi.org/10.1016/j.tele.2022.101861