Statistics of Industry Activities of Enterprises Participating in the Survey


Statistics show that Sacombank's customers come from many different industries, mainly steel (33.04%), plastic raw materials (21.30%) and animal feed (20%). The data is shown specifically in the table below.

Table 4.1: Statistics on business lines of enterprises participating in the survey


Business items

Quantity

Proportion

Iron and steel

76

33.04%

Raw plastic

49

21.30%

Animal feed and raw materials

46

20.00%

Machinery and equipment

15

6.52%

Wood and wood products

12

5.22%

Other

32

13.91%

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Statistics of Industry Activities of Enterprises Participating in the Survey


About other types of services that companies are using

This is a multiple choice question, from the statistics of this question, it shows that businesses are using different types of services of Sacombank. In which, most companies use Sacombank's foreign exchange services when there are up to 222 samples answering yes (accounting for 97.4%). Details are shown in the table below.

Table 4.2: Statistics on the use of other types of services of Sacombank



Service used


Quantity


Proportion (%)

Proportion to sample (%)

Foreign exchange services

222

32.40875912

97.36842105

Loan Services

113

16.49635036

49.56140351

Deposit services

118

17.22627737

51.75438596

Consulting services

110

16.05839416

48.24561404

Other services

122

17.81021898

53.50877193


About the time of using the wire transfer service (T/T) to pay for imported goods of Sacombank

There are 15 respondents who have used Sacombank's money transfer service for less than 1 year (accounting for 6.52%), 133 respondents who have used Sacombank's money transfer service from 1 year to 3 years (accounting for 57.83%) and 82 businesses who have used Sacombank's service for more than 3 years (accounting for 35.65%) out of a total of 230 responses collected.


Figure 4.4: Statistics on time spent using international payment services of businesses participating in the survey

6%

36%

Under 1 year

58%

From 1 year to 5 years

Over 5 years

4.2. Analysis of Cronbach's Alpha coefficient of factors

4.2.1. Analysis of Cronbach's Alpha coefficient for 5 service quality components

Table 4.3: Cronbach's Alpha of the 5-component service quality scale


Variable

observe

Medium

scale if variable type

Variance

scale if variable type

Total variable correlation

Cronbach

alpha if variable type

Tangibles component scale (HH): α = 0.795

HH1

12.2478

8,886

.693

.718

HH2

11.8000

7,165

.771

.684

HH3

12.0130

8,912

.637

.736

HH4

12.1043

8,557

.783

.688

HH5

13.3652

13,901

-.033

.874

Reliability Component Scale (TC): α = 0.773

TC1

8.9652

8,680

.439

.787

TC2

8.7913

7,458

.601

.705

TC3

8.6522

7.302

.663

.669

TC4

9.1739

8,345

.617

.702

Response Unit Scale (DU): α = 0.783

DU1

12.8261

10,336

.459

.781

DU2

12.7609

9,851

.603

.727

DU3

12.6435

9,960

.675

.705

DU4

12.8522

10,799

.563

.742

DU5

12.7609

10,890

.520

.755

Assurance component scale (DB): α = 0.820

DB1

12.4652

11,149

.568

.801

DB2

12.2957

10,497

.660

.771

DB3

12.2000

10,362

.672

.767

DB4

12.6870

11,535

.687

.766

DB5

12.0217

13,489

.523

.813



Empathy component scale (DC): α = 0.612

DC1

8.5435

3,708

.539

.460

DC2

8.5217

3,037

.649

.338

DC3

7.6739

3.243

.432

.511

DC4

8.2478

4,449

.079

.772


Tangibles scale (HH): has a Cronbach's Alpha reliability coefficient of 0.795 > 0.60, meeting the requirements. However, the variable HH5 (Employees demonstrate professional attitudes when handling transactions) has a negative total variable correlation. In general, in real conditions, removing this variable does not have much impact on the survey content of the tangibles scale because the nature of international communication services is to support other direct sales staff such as customer relations officers. In addition, this removal increases the Cronbach's Alpha coefficient of this component to 0.874. From the above results, the author decided to remove the variable HH5, the remaining 4 variables including HH1, HH2, HH3, HH4 will be included in the exploratory factor analysis (EFA).

Reliability component scale (TC): has a Cronbach's Alpha reliability coefficient of 0.773 > 0.60, meeting the requirements. The variables nominated to measure this factor all have a total item correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the EFA exploratory factor analysis.

Responsiveness component scale (DU) : has a Cronbach's Alpha reliability coefficient of 0.783 > 0.60, meeting the requirements. The variables nominated to measure this factor all have a total item correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the exploratory factor analysis EFA.

The scale of the assurance component (DB): has a Cronbach's Alpha reliability coefficient of 0.820 > 0.60, meeting the requirements. The variables nominated to measure this factor all have a total correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the exploratory factor analysis EFA.

Empathy component scale (DC): has a Cronbach alpha reliability coefficient of 0.612 (meeting the required level). However, the DC4 measurement variable has a total item correlation coefficient (0.079) lower than the required level. In terms of content, the elimination of


Removing this variable can be done without affecting the content of the empathy scale because it is difficult for international staff to grasp all the needs of customers. Therefore, removing this variable is appropriate. Therefore, only 3 variables DC1, DC2, DC3 are included in the EFA .

4.2.2. Cronbach's Alpha analysis for quality scales

Table 4.4: Cronbach's Alpha of service quality scale


Variable

observe

Medium

scale if variable type

Variance

scale if variable type

Total variable correlation

Cronbach

alpha if variable type

International TTQT service quality scale (CL): α = 0.830

CL1

6.3217

3,922

.625

.833

CL2

6.2478

4,187

.662

.792

CL3

6.1174

3,650

.790

.663

Service quality scale (CL): has a Cronbach's Alpha reliability coefficient of 0.830 > 0.60, meeting the requirements. The variables nominated to measure this factor all have a total item correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the EFA exploratory factor analysis.

4.2.3. Cronbach's Alpha analysis for service charge scale

Table 4.5: Cronbach's Alpha of the service charge scale


change

close

Average scale if

variable type

Scale variance if

variable type

Total variable correlation

Cronbach alpha if excluded

variable

International TTQT service cost scale (CP): α = 0.792

CP1

6.3391

4,077

.627

.726

CP2

6.1348

3,986

.647

.704

CP3

6.5522

4,196

.629

.724


Service cost scale (CP): has a Cronbach alpha reliability coefficient of 0.792 > 0.60, meeting the requirements. The variables nominated to measure this factor all have a total item correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the exploratory factor analysis EFA.

4.2.4. Cronbach's Alpha analysis for customer satisfaction scale


Table 4.6: Cronbach's Alpha of customer satisfaction scale


Variable

observe

Medium

scale if variable type

Variance

scale if variable type

Total variable correlation

Cronbach

alpha if variable type


Customer satisfaction scale (HL): α = 0.851

HL1

10.7000

5,879

.748

.789

HL2

10.9174

5.412

.745

.786

HL3

10.8261

5,393

.691

.814

HL4

11.3435

6,515

.596

.848

Customer satisfaction scale (HL): has a Cronbach's Alpha reliability coefficient of 0.851 > 0.60, quite large compared to the requirements. The variables nominated to measure this factor all have a total item correlation coefficient > 0.3, meeting the requirements. Therefore, this scale meets the requirements and the observed variables of this scale are included in the EFA exploratory factor analysis.

4.3. Exploratory factor analysis EFA for factors

4.3.1. Results of exploratory factor analysis EFA for the scale of factors affecting service quality

Results of the first EFA analysis


Table 4.7. Results of the first EFA analysis for the scale of factors affecting service quality

Observation variable


Factor

1

2

3

4

5

DB4

.757





DB3

.729





DB2

.729





DB5

.671





DB1

.636





HH2


.882




HH4


.862




HH1


.787




HH3


.682




TC3



.846



TC2



.737



TC4



.719



TC1



.579



DU1

.425


.508



DU4

.302



.767


DU3




.710


DU2




.677


DU5


.357


.644


DC2





.872

DC1





.828

DC3





.787

As presented above, after removing variables HH5 and DC4, the scale of factors affecting Sacombank's service quality is measured by 21 observed variables. The results will be presented in detail in Appendix 7.

The results of Bartlett's test of sphericity in the KMO and Bartlett's test tables with sig = 0.000 show that the necessary condition for applying factor analysis is that the variables must have a satisfactory correlation with each other. The KMO index = 0.846 > 0.5 shows that the data is suitable for exploratory factor analysis. At Eigenvalues ​​levels greater than 1 with the Principal Components extraction method


Analysis and Varimax rotation, factor analysis extracted 5 factors with total extracted variance of 65.138% (meeting the requirement of greater than 50%).

After performing Varimax rotation, the factor loading coefficients of 21 observed variables are all greater than 0.5 (meeting the requirements). However, the variables DU1 and DU5 have a difference in factor loading coefficients between the two groups < 0.3. Removing these observed variables requires considering the content value that this variable contributes to the factor. For variable DU1, consulting all complete documents for customers does not contribute much to the content of the research factor. On the contrary, variable DU5 contributes significantly to the content of the research factor because answering customers' questions shows dedication and meets their requirements well. Therefore, the author decided to remove variable DU1 and keep variable DU5 for the second EFA exploratory factor analysis.

Results of the second exploratory factor analysis EFA


Table 4.8. Results of the second EFA analysis for the scale of factors affecting service quality

Observation variable

Factor

1

2

3

4

5

HH2

.885





HH4

.865





HH1

.794





HH3

.685





DB4


.762




DB3


.730




DB2


.727




DB5


.691




DB1


.624


.305


TC3



.838



TC4



.747



TC2



.735



TC1



.581



DU4




.791


DU3


.313


.737


DU2




.680


DU5

.354



.607


DC2





.871

DC1





.833

DC3





.781

The second EFA analysis was performed with 20 observed variables after removing 1 observed variable from the first EFA exploratory factor analysis.

Bartlett test results in KMO and Bartlett test table with sig level

= 0.000 shows that the necessary condition for applying factor analysis is that the variables must be correlated with each other as required. The KMO index = 0.836 > 0.5 shows that the data is suitable for exploratory factor analysis. Thus, the criteria in the KMO and Bartlett tests in this second factor analysis meet the requirements.

At Eigenvalues ​​greater than 1 with Principal Components Analysis extraction method and Varimax rotation, factor analysis extracted 5 factors from 21 observed variables with total extracted variance of 66.239% (meeting the requirement of greater than 50%). After performing Varimax rotation, the factor loading coefficients of 21 observed variables

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