Modeling Nonusers’ Behavioral Intention towards Mobile Chatbot Adoption: An Extension of the UTAUT2 Model with Mobile Service Quality Determinants

Table 3

Factor loadings, convergent validity, and reliability.

	Item	Loading	Mean	SD	CR	Cronbach’s α
Performance expectancy (PE)	PE1	.682	3.22	.948	.786	.871
	PE2	.776	3.19	1.009
	PE3	.767	2.99	.973
Effort expectancy (EE)	EE1	.469	3.96	.993	.872	.915
	EE2	.893	3.88	1.082
	EE3	.868	3.91	1.009
	EE4	.891	3.90	1.069
Social influence (SI)	SI1	.892	2.75	1.157	.930	.954
	SI2	.914	2.68	1.195
	SI3	.902	2.74	1.189
Facilitating conditions (FC)	FC1	.885	3.73	1.109	.891	.902
	FC2	.816	3.60	1.212
	FC3	.865	3.79	1.167
Hedonic motivation (HM)	HM1	.653	3.15	.939	.672	.731
	HM2	.768	3.07	.980
Mobility (MOB)	MOB1	.823	3.58	1.077	.861	.821
	MOB2	.801	3.87	1.073
	MOB3	.839	3.81	1.080
Trust (TR)	TR1	.555	3.08	1.014	.735	.812
	TR2	.753	3.35	.984
	TR3	.762	3.23	1.041
Equipment (EQ)	EQ1	.902	3.66	1.070	.862	.786
	EQ2	.837	3.55	.990
Interface (INTF)	ΙΝΤF1	.494	3.49	.909	.768	.779
	INTF2	.643	3.52	.903
	INTF3	.815	3.53	.867
	INTF4	.721	3.60	.887
Privacy concerns (PC)	PC1	.901	3.37	1.172	.927	.896
	PC2	.903	3.25	1.143
	PC3	.895	3.14	1.186
Information quality (IQ)	IQ1	.723	3.61	.881	.782	.804
	IQ2	.776	3.29	.953
	IQ3	.713	3.20	.989
Behavioral intention (BI)	BI1	.646	3.46	1.078	.762	.863
	BI2	.780	3.42	1.019
	BI3	.725	3.57	.974
Total variance