Factors Influencing the Acceptance of Robo-Taxi Services in China: An Extended Technology Acceptance Model Analysis

Table 3

Results of the measurement model fit, reliability, and convergent validity.

Constructs	Items	Means	Standard deviation	Factor loadings	Composite reliability	AVE
Perceived trust (α = 0.78)	PT1	3.04	0.98	0.73	0.78	0.54
	PT2	2.55	0.95	0.71
	PT3	3.36	1.05	0.77
Government support (α = 0.79)	GS1	4.05	0.74	0.78	0.78	0.54
	GS2	3.97	0.76	0.69
	GS3	3.96	0.70	0.74
Social influence (α = 0.72)	SI1	3.44	0.79	0.65	0.72	0.46
	SI2	3.70	0.80	0.74
	SI3	3.96	0.74	0.64
Perceived enjoyment (α = 0.68)	PE1	3.87	0.80	0.70	0.69	0.53
	PE2	3.63	0.86	0.75
Perceived usefulness (α = 0.74)	PU1	3.63	0.74	0.74	0.71	0.46
	PU2	3.28	0.86	0.66
	PU3	3.30	0.86	0.62
Perceived ease of use (α = 0.74)	PEU1	3.90	0.83	0.73	0.73	0.48
	PEU2	3.73	0.73	0.67
	PEU3	3.68	0.81	0.67
Attitude (α = 0.80)	ATT1	3.84	0.81	0.80	0.80	0.57
	ATT2	3.68	0.79	0.76
	ATT3	3.96	0.78	0.71
Intention to use (α = 0.73)	IU1	3.86	0.77	0.81	0.74	0.59
	IU2	3.68	0.91	0.72