Designers using AIGC technology survey data

The results reveal that: (a) designers’ performance expectancy from AIGC has a strong positive effect on continuous intention; (b) both technology and task characteristics substantially enhance task-technology fit, which in turn indirectly augments continued intention via user satisfaction; (c) an interaction between UTAUT and TTF models enhances performance expectancy through task-technology fit; (d) technostress negatively moderates the impact of performance and effort expectancy, along with social influence and user satisfaction, on continuous intention.