Table 8 Multi-group analysis results.

From: Convenient or risky? Investigating the behavioral intention to use facial recognition payment in smart hospitals

H

Relationship

Path coefficient

T-values

P-values

Confidence interval (95%)

Path coefficient differences

P-value difference

Supported

Male

Female

Male

Female

Male

Female

Male

Female

Permutation

Henseler’s MGA

H1

PE → BI

0.136

0.135

3.379

3.866

0.001**

0.000***

0.058

0.216

0.062

0.200

0.001

0.984

0.981

No/No

H2

EE → BI

0.162

0.154

2.862

2.964

0.004**

0.003**

0.049

0.269

0.048

0.252

0.008

0.928

0.918

No/No

H3

SI → BI

0.130

0.259

2.495

4.817

0.013*

0.000***

0.025

0.229

0.156

0.368

-0.129

0.095

0.085

No/No

H4

FC → BI

0.232

0.165

4.253

3.116

0.000***

0.002**

0.119

0.337

0.060

0.268

0.067

0.411

0.379

No/No

H5

PC → TIF

−0.358

−0.209

7.126

4.196

0.000***

0.000***

−0.453

−0.254

−0.302

−0.106

−0.149

0.036

0.035

Yes/Yes

H6

PR → TIF

−0.080

−0.156

1.617

3.279

0.106

0.001**

−0.180

0.017

−0.250

−0.062

0.076

0.273

0.268

No/No

H7

FA → TIF

0.287

0.261

6.280

5.005

0.000***

0.000***

0.195

0.376

0.159

0.362

0.026

0.716

0.709

No/No

H8

TIF → BI

0.180

0.160

3.361

3.498

0.001**

0.000***

0.080

0.293

0.071

0.249

0.021

0.777

0.776

No/No

H9

PI → BI

0.128

0.066

2.528

1.398

0.012*

0.162

0.027

0.226

−0.030

0.157

0.062

0.403

0.372

No/No

H10

PI*TIF → BI

0.060

0.087

1.385

2.174

0.166

0.030*

−0.023

0.148

0.009

0.167

−0.027

0.650

0.648

No/No

  1. A P-value below 0.05 or above 0.95 suggests significant differences (at the 5% level) in specific path coefficients across the two groups for Henseler’s MGA method.
  2. *P < 0.05; **P < 0.01; ***P < 0.001.