Các yếu tố ảnh hưởng đến ý định sử dụng dịch vụ Ngân hàng điện tử của khách hàng tại TP.HCM - 15



Component

1

2

3

4

5

PE4

.842





PE2

.831





PE1

.830





PE3

.804





PE5

.799





PR2


.918




PR1


.882




PR3


.862




PR4


.853




PR5


.706




FC4



.825



FC2



.813



FC3



.772



FC1



.627



EE1




.813


EE2




.774


EE3




.763


EE4




.651


SI2





.855

SI1





.822

SI3





.820

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Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 5 iterations.


Compon ent


1


2


3


4


5

1

.643

.198

.418

.478

.379

2

.146

.910

-.301

-.164

-.183

3

-.704

.363

.561

.191

.145

4

-.127

.044

-.327

-.272

.895

5

.231

.003

.559

-.796

-.005

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Phụ lục 6

KẾT QUẢ PHÂN TÍCH NHÂN TỐ KHÁM PHÁ EFA CHO BIẾN PHỤ THUỘC


Factor Analysis


KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.744

Bartlett's Test of Sphericity

Approx. Chi-Square

455.576


df

3


Sig.

.000



Communalities


Initial

Extraction

UIE1

1.000

.792

UIE2

1.000

.834

UIE3

1.000

.841

Extraction Method: Principal Component Analysis.


Total Variance Explained

Compone nt

Initial Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

2.467

82.226

82.226

2.467

82.226

82.226

2

.307

10.244

92.471

3

.226

7.529

100.000

Extraction Method: Principal Component Analysis.


Component Matrixa

Component

1

.917

UIE2

.913

UIE1

.890

Extraction Method: Principal Component Analysis.

a. 1 components extracted.

UIE3


Phân tích lần 1 Regression

Phụ lục 7

KẾT QUẢ PHÂN TÍCH HỒI QUY



Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

1

SI, PR, FC, PE, EEa

.

Enter

a. All requested variables entered.

b. Dependent Variable: UIE


Model Summaryb


Model


R


R Square


Adjusted R Square

Std. Error of the Estimate


Durbin-Watson

1

.828a

.686

.680

.46851

2.025

a. Predictors: (Constant), SI, PR, FC, PE, EE

b. Dependent Variable: UIE


ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

122.487

5

24.497

111.606

.000a


Residual

55.972

255

.219


Total

178.460

260


a. Predictors: (Constant), SI, PR, FC, PE, EE

b. Dependent Variable: UIE



Coefficientsa


Model

Unstandardized Coefficients

Standardized Coefficients


t


Sig.


Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

-.168

.201


-.836

.404




PE

.242

.048

.221

5.085

.000

.652

1.535


PR

-.051

.035

-.053

-1.450

.148

.926

1.080


EE

.491

.048

.465

10.144

.000

.585

1.709


FC

.265

.048

.233

5.541

.000

.694

1.441


SI

.125

.038

.133

3.279

.001

.744

1.344

a. Dependent Variable: UIE

Collinearity Diagnosticsa




Eigenvalue


Condition Index

Variance Proportions

Model

Dimension

(Constant)

PE

PR

EE

FC

SI

1

1

5.821

1.000

.00

.00

.00

.00

.00

.00


2

.071

9.040

.01

.00

.51

.03

.02

.14


3

.038

12.388

.00

.12

.07

.13

.04

.80


4

.034

13.113

.08

.60

.00

.00

.25

.04


5

.021

16.627

.04

.28

.09

.84

.21

.01


6

.015

19.550

.88

.00

.32

.00

.48

.01

a. Dependent Variable: UIE



Residuals Statisticsa


Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

1.0567

5.0244

3.4253

.68637

261

Residual

-1.51544

1.91663

.00000

.46398

261

Std. Predicted Value

-3.451

2.330

.000

1.000

261

Std. Residual

-3.235

4.091

.000

.990

261

a. Dependent Variable: UIE

Charts

Phân tích lần 2 Regression Variables Entered Removed b Model Variables Entered Variables 1

Phân tích lần 2 Regression Variables Entered Removed b Model Variables Entered Variables 2


Phân tích lần 2


Regression


Variables Entered/Removedb


Model

Variables Entered

Variables Removed

Method

1

SI, PE, FC, EEa

.

Enter

a. All requested variables entered.

b. Dependent Variable: UIE



Model Summaryb


Model


R


R Square


Adjusted R Square

Std. Error of the Estimate


Durbin-Watson

1

.827a

.684

.679

.46952

2.009

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