A study on the COVID-19 awareness affecting the consumer perceived benefits of online shopping in Vietnam

Figures & data

Figure 1. The model of Perceived benefits in shopping online during Covid-19 in Vietnam

Table 1. Summary of respondents’ information

Control variable	Categories	Frequency	%	Control variable	Categories	Frequency	%
Gender	Male	127	26.9	Age	< 18	22	4.70
	Female	343	72.7		19–35	365	77.3
Living area	Downtown	282	59.7		36–55	85	18.0
	Suburban	190	40.3		> 55	0	0.00
Family size	Single	66	14.0	Online shopping frequency	Very often	13	2.80
	2–4 members	286	60.6		Regularly	62	13.1
	> 4 members	120	25.4		Normally	153	32.4
Education	High school	52	11.0		Rarely	96	20.3
	University	305	64.6		Very not often	148	31.4
	Postgraduate	115	24.4	Income	< 5 million VND	176	37.3
Occupation	Student	182	36.8		5–10 million VND	117	24.8
	Office Staff	167	35.4
	Worker	10	2.1		10–20 million VND	103	21.8
	Housewife	11	2.3
	Business	47	10.0		> 20 million VND	76	16.1
	others	55	11.7

Table 2. Summary of the reliability and validity test

Factor	Number of items	Cumulative explained variance (%)	Factor loading	KMO	Eigen- values	Bartlett’s Test (sig.)	Cronbach’s alpha	Item-total correlation
AU	5	56.20	0.63–0.81	0.798	2.812	0.00	0.79	0.48–0.67
EU	5	73.04	0.79–0.90	0.888	3.652	0.00	0.91	0.68–0.83
MP	5	62.06	0.74–0.83	0.811	3.103	0.00	0.85	0.60–0.71
PC	4	59.60	0.71–0.82	0.731	2.384	0.00	0.87	0.50–0.63
AS	4	75.78	0.78–0.91	0.827	3.031	0.00	0.89	0.65–0.82
CI	3	70.92	0.83–0.86	0.831	3.131	0.00	0.79	0.63–0.66
OS	6	65.27	0.77–0.84	0.872	3.916	0.00	0.89	0.67–0.75

Table 3. Model fit of CFA

Index	CMIN/DF	NFI	IFI	CFI	RMSEA
Value	3.252	0.896	0.926	0.925	0.069
Standard	< 5	> 0.8	> 0.9	>0.9	< 0.08

Table 4. Regression Weights

Factor loading			Estimate
AU1	<—	AU.	.534
AU2	<—	AU.	.724
AU3	<—	AU.	.717
AU4	<—	AU.	.593
AU5	<—	AU.	.774
EU1	<—	EU.	.760
EU2	<—	EU.	.874
EU3	<—	EU.	.862
EU4	<—	EU.	.808
EU5	<—	EU.	.771
MP1	<—	MP.	.693
MP2	<—	MP.	.785
MP3	<—	MP.	.687
MP4	<—	MP.	.676
MP5	<—	MP.	.777
AC1	<—	AC.	.785
AC2	<—	AC.	.823
AC3	<—	AC.	.866
AC4	<—	AC.	.908
AS1	<—	AS.	.885
AS2	<—	AS.	.890
AS3	<—	AS.	.836
AS4	<—	AS.	.689

Table 5. The model fit of SEM

Index	CMIN/DF	NFI	IFI	CFI	RMSEA
Value	3.185	0.874	0.910	0.909	0.068
Standard	< 5	> 0.8	> 0.9	>0.9	< 0.08

Table 6. The result summary

Effects			Estimate	S.E.	C.R.	P	Result
AC.	<—	AU.	.516	.135	3.820	***	Supported
AC.	<—	EU.	−.067	.104	−.649	.516	Rejected
AC.	<—	MP.	.104	.102	1.017	.309	Rejected
AC.	<—	AS.	.275	.059	4.643	***	Supported
OS	<—	AU.	.124	.094	1.320	.187	Rejected
OS	<—	EU.	.279	.074	3.796	***	Supported
OS	<—	MP.	.057	.071	.799	.425	Rejected
OS	<—	AC	.153	.044	3.464	***	Supported
OS	<—	AS.	.285	.044	6.485	***	Supported