Figure 2.
The model combines 3 theory areas around Attitude. The Task-Technology Fit theory section contains Task characteristics and Technology characteristics, which both point to Task-Technology Fit. Task characteristics to Task-Technology Fit has beta values 0.233 with three asterisks, 0.236 with three asterisks, and 0.241 with three asterisks. Technology characteristics to Task-Technology Fit has beta values 0.662 with three asterisks, 0.601 with three asterisks, and 0.637 with three asterisks. Task-Technology Fit points to Attitude with beta values 0.141 with n s, 0.206 with an asterisk, and 0.156. The Technology Acceptance Model section contains Perceived ease of use and Perceived usefulness. Perceived ease of use points to Perceived usefulness with beta values 0.728 with three asterisks, 0.705 with three asterisks, and 0.724 with three asterisks. Perceived ease of use points to Attitude with beta values 0.011 with n s, 0.047 with n s, and 0.026 with n s. Perceived usefulness points to Attitude with beta values 0.309 with three asterisks, 0.136 with n s, and 0.246 with three asterisks. The Innovation Diffusion Theory section contains Relative advantage, Compatibility, and Complexity. Relative advantage points to Attitude with beta values 0.262 with three asterisks, 0.342 with three asterisks, and 0.296 with three asterisks. Compatibility points to Attitude with beta values 0.259 with three asterisks, 0.186 with three asterisks, and 0.239 with three asterisks. Complexity points to Attitude with beta values 0.008 with n s, negative 0.045 with n s, and negative 0.006 with n s. Attitude points to Self-confident efficacy with beta values 0.811 with three asterisks, 0.713 with three asterisks, and 0.771 with three asterisks. Attitude points to Intentions to use with beta values 0.609 with three asterisks, 0.712 with three asterisks, and 0.664 with three asterisks. Self-confident efficacy points to Intentions to use with beta values 0.305 with three asterisks, 0.218 with three asterisks, and 0.256 with three asterisks. A note below the model reads, Hypothesized moderating two types of A I hyphen T P A, e 0 dot g 0 dot, generative A I versus G U I, H 15 a to l.Measurement model
Note(s): The unmarked values are for generative AI; the underlined values are for GUI; and values in boldface type are for merging two data. *p < 0.05; NS = Not supported