A Multi-Industry Analysis of the Future Use of AI Chatbots

Table 1

ANOVA, descriptive, and reliability statistics.

	Mental health care				Online shopping				Online banking				Statistically significant differences
Factors	Mean	SD			Mean	SD			Mean	SD
Age	38.08	17.66	—	339	—	—	—	338	—	—	—	335
Gender	1.59	0.54	—	339	—	—	—	338	—	—	—	335
PEK	1.14	0.35	—	339	—	—	—	338	—	—	—	335
PU	3.04	1.2	.96	339	2.98	1.19	.96	338	2.78	1.22	.96	335	OS-OB MHC-OB
PEOU	3.73	1.02	.86	339	3.97	.93	.91	338	3.84	.97	.94	335	OS-MHC; MHC-OB
Privacy concerns	3.62	1.01	.91	339	3.22	1.1	.93	338	3.90	.94	.91	335	OS-OB; MHC-OB
Trust	2.48	1.09	.72^a	339	2.81	1.08	.74^a	338	2.42	1.12	.69^a	335	OS-OB; OS-MHC
Behavioural intentions	2.44	1.24	.92	339	2.68	1.19	.94	338	2.48	1.18	.92	335	OS-OB; OS-MHC

Note. .  = sample size,  = mean,  = standard deviation, CI = confidence interval,  = Cronbach’s alpha. PEK = prior experience, PU = perceived usefulness, PEOU = perceived ease of use, OS = online shopping, OB = online banking, MHC = mental health care. ^a Spearman’s rank order correlation was undertaken as a scale comprised of two items. Correlation is significant at level, two-tail.