英文摘要 |
With the advance of Artificial Intelligence and Internet of Things, numerous companies have actively launched smart unmanned stores in recent years. However, the consumers' acceptance and utilization of smart unmanned stores is not as high as expected. How to get consumers' attention and promote consumers to shop in smart stores has therefore become an important issue for companies to make progress in smart retail services. This study proposes a research model that combines technology acceptance model with the innovation diffusion theory to comprehend the influence of perceived risk and perceived self-efficacy on the consumers' acceptance of smart unmanned stores. The results indicate that perceived usefulness, perceived compatibility, perceived risk, and perceived self-efficacy significantly affect consumers' intention to continue using smart unmanned stores. Furthermore, the results also reveal that perceived self-efficacy moderates the relationship between perceived risk and continuance intentions of using smart unmanned stores. |