| 英文摘要 |
Taiwan's restaurant industry is currently facing significant operational challenges, including severe labor shortages, rising minimum wages, shifting parental values among millennials, and increasing consumer concerns about food hygiene and safety. To address these challenges, the industry is actively exploring the adoption of emerging technological solutions, such as service robots for food delivery. This study applies the Technology Acceptance Model (TAM) to examine customers' willingness to use service robots in the restaurant sector, aiming to provide practical insights for the industry’s implementation of such technologies. The demographic analysis indicates that customers with the highest willingness to use service robots are predominantly female, aged 19-25, without children, and hold a university degree. Further variance analysis reveals that the presence of children in a household significantly influences customers' willingness to adopt service robots, while age differences also yield notable variations in customer attitudes toward robot usage. The primary regression analysis demonstrates that customers' perceived ease of use of service robots positively affects both their perceived usefulness and attitudes toward use. Additionally, perceived usefulness positively influences customers' attitudes, which in turn have a direct impact on their willingness to use service robots. Given the ongoing operational difficulties and labor shortages faced by the restaurant industry, achieving sustainable operations has become a critical priority. The findings of this study suggest that customers hold generally positive views regarding the ease of use, usefulness, attitudes, and willingness to use service robots in restaurants. These insights highlight the potential for service robots to enhance service quality and business competitiveness. Therefore, this study provides valuable implications for restaurant operators considering the integration of innovative technologies, such as service robots, as part of their management and business strategies to improve customer experiences and operational efficiency. |