Dataset on technology acceptance of digital services in exhibitions

This dataset was collected to examine visitors’ technology acceptance processes toward digital services in the exhibition industry.Based on the extended Technology Acceptance Model (TAM), the data capture visitors’ perceptions of perceived usefulness and perceived ease of use, as well as their continuance intention toward exhibition digital services. The study further incorporates individual difference variables—digital literacy and technology anxiety—to investigate their moderating roles in the technology acceptance process.The data were obtained through face-to-face self-administered surveys conducted at five industry exhibitions in South Korea: ICPI WEEK 2025, World IT Show 2025, CONAIL EXPO 2025, K-Baby Fair 2025, and Excellent Food Service & Catering Expo 2025. A total of 431 valid responses were used for analysis after excluding incomplete questionnaires.The dataset includes measurement items for three key exhibition digital services: mobile applications, digital registration systems, and digital signage. All constructs were measured using multi-item scales adapted from established prior studies, and reliability and validity were confirmed through statistical analysis.This dataset supports the empirical findings reported in the associated research article and this can be used to replicate or further examine technology acceptance and continuance intention toward digital services in experience-based service environments such as exhibitions.