Investors’ intention to use mobile investment: an extended mobile technology acceptance model with personal factors and perceived reputation

Figures & data

Figure 1. Proposed research model.

Table 1. Profiles of the respondents.

Profiles	Frequency	Percentage
Gender
Male	76	35.68
Female	137	64.32
Age
19–24	54	25.35
25–29	51	23.94
30–34	51	23.94
35–39	26	12.21
40–44	18	8.45
45 and above	13	6.10
Marital status
Married	77	36.15
Single	136	63.85
Occupation
Employee	125	58.69
Self-employed	32	15.02
Students	51	23.94
Others	5	2.35
Highest education level
Certificate/Diploma/Bachelor Degree	156	73.24
Master and PhD	34	15.96
Primary and Secondary School	23	10.80

Table 2. Results of reliability and validity tests.

Construct	Loading	AVE	CR	Cronbach’s Alpha	VIF
MU1	0.8863	0.8032	0.9423	0.9183	3.5610
MU2	0.9151
MU3	0.8903
MU4	0.8929
MEOU2	0.8149	0.7348	0.9171	0.8796	3.0470
MEOU3	0.8910
MEOU4	0.8793
MEOU5	0.8414
MSE1	0.8907	0.6838	0.8661	0.7731	3.1440
MSE2	0.8000
MSE3	0.7862
MI1	0.8637	0.6778	0.8624	0.7639	2.3990
MI2	0.8724
MI4	0.7255
PR1	0.8893	0.7969	0.9216	0.8724	2.0220
PR2	0.9271
PR3	0.8605
ATT1	0.8461	0.8080	0.9439	0.9210	2.7950
ATT2	0.9216
ATT3	0.9090
ATT4	0.9167
INT1	0.9217	0.8288	0.9509	0.9309	3.2230
INT2	0.9199
INT3	0.9272
INT4	0.8717

Table 3. Discriminant validity using HTMT.

	MU	MEOU	MSE	MI	PR	ATT	INT
MU
MEOU	0.8745
MSE	0.7781	0.7472
MI	0.8193	0.7946	0.8784
PR	0.6547	0.6725	0.5424	0.6067
ATT	0.6960	0.6453	0.8744	0.6805	0.5623
INT	0.7875	0.7592	0.7317	0.7677	0.7603	0.7019

Table 4. Path coefficients and hypotheses testing.

Hypo.	Path	Coefficient	Std.Dev.	T-value	p value	f^2	Result
H1	MU – > INT	0.2059	0.1021	2.0161	0.0219	0.0399	Support
H2	MEOU – > INT	0.1042	0.0842	1.2384	0.1078	0.0116	Not Support
H3	MSE – > ATT	0.6313	0.0625	10.1050	0.0000	0.5518	Support
H4	MSE – > INT	0.0764	0.0941	0.8120	0.2084	0.0060	Not Support
H5	MI – > ATT	0.0744	0.0932	0.7984	0.2124	0.0074	Not Support
H6	MI – > INT	0.1565	0.0796	1.9669	0.0246	0.0340	Support
H7	PR – > ATT	0.1829	0.0612	2.9863	0.0014	0.0638	Support
H8	PR – > INT	0.3134	0.0510	6.1464	0.0000	0.1856	Support
H9	ATT – > INT	0.1509	0.0743	2.0311	0.0212	0.0270	Support
Coefficient determination (R^2) and predictive relevance (Q2)
		R^2	Q^2
	ATT	0.6221	0.4880
	INT	0.6897	0.5584

Figure 2. Research model and path coefficient and p values.

Figure 3. Result of IPMA.

Table 5. Result of IPMA.

Construct	Importance	Performance
MU	0.2059	77.5546
MEOU	0.1042	76.8458
MSE	0.1717	72.1175
MI	0.1677	73.5392
PR	0.3411	72.0875
ATT	0.1509	79.3799
Average	0.1903	75.2541