Skip to main content

Table 7 The impact of gender on e-cash us

From: Factors affecting consumer acceptance of electronic cash in China: an empirical study

Hypothesis

Male

Female

Coefficient

C.R

p value

Coefficient

C.R

p value

\({\text{H}}_{1} :{\text{PEoU}} \to {\text{PU}}\)

0.783

42.061

< 0.001

0.810

41.560

< 0.001

\({\text{H}}_{2} :{\text{PU}} \to {\text{A}}\)

0.197

10.718

< 0.001

0.208

10.356

< 0.001

\({\text{H}}_{3} :{\text{PEoU}} \to {\text{A}}\)

0.774

36.925

< 0.001

0.768

33.445

< 0.001

\({\text{ H}}_{4} :{\text{A}} \to {\text{Intenion}}\)

0.616

28.091

< 0.001

0.702

33.234

< 0.001

\({\text{H}}_{5} :{\text{GP}} \to {\text{Intention}}\)

0.017

0.891

> 0.05

− 0.035

− 2.164

< 0.05

\({\text{H}}_{6} :{\text{PS}} \to {\text{Intention}}\)

0.297

15.312

< 0.001

0.239

13.435

< 0.001

\({\text{H}}_{7} :{\text{Cost}} \to {\text{Intention}}\)

0.069

4.133

< 0.001

− 0.004

− 0.251

> 0.05

\({\text{H}}_{8} :{\text{SI}} \to {\text{Intention}}\)

− 0.069

− 3.437

< 0.001

0.002

0.101

> 0.05

\({\text{H}}_{9} :{\text{Intention}} \to {\text{AU}}\)

0.381

19.079

< 0.001

0.444

19.434

< 0.001