An extended UTAUT model study on the adoption behavior of artificial intelligence technology in construction industry.

This article investigates the adoption of artificial intelligence (AI) technology in the construction industry using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, which incorporates personal-level factors such as AI anxiety and individual innovativeness. Based on survey data from 258 construction and project management professionals, the study finds that performance expectancy, effort expectancy, social influence, facilitating conditions, and individual innovativeness positively influence AI usage behavior, while AI anxiety negatively affects adoption. The research highlights the importance of addressing employees' anxieties and fostering innovation to promote AI integration in construction, offering practical recommendations for organizations to enhance training, social support, and communication strategies. The study contributes a tailored theoretical framework for understanding AI adoption in construction and suggests directions for future research including longitudinal studies and cross-cultural comparisons.