CHAPTER 5 CONCLUSIONS AND RECOMMENDATIONS
5.2 LIMITATIONS AND RECOMMENDATIONS
5.2.2 Recommendations
This study was launched model, test and find out which is the constituent elements to assess the satisfaction at Go Vap District tax branch.
Table 19 The constituents satisfaction of staff at Go Vap District tax branch
No Factor Beta
1 SAL 0.210
2 TIM 0.209
3 WORK 0.182
4 OPP 0.172
5 STA 0.149
6 RES 0.142
From the analysis in chapter 4, table 12 to improving quality of human resources at Go Vap District tax branch as follows: Salary, followed by Time pressure, Work,
53
Opportunity to develop, Staff relations and the weakest impact factor to its satisfaction now is Responsibility.
5.2.2.1 Salary
Salary and welfare are the important factor effect to the satisfaction of staff.
Salary policy must be fair and depend on capability of staff. It has to notify clearly to all staff at Go Vap District tax branch. In addition to increase the satisfaction of staff at Go Vap District tax branch should support somethings like:
healthy insurance, gifts on holidays, supporting poor family, and equal benefits policy.
5.2.2.2 Time pressure
Facilitating them enough freedom to decide how to do their work. Go Vap District tax branch management boards need held job that employees work doesn’t require frequent extra-time
5.2.2.3 Work
Go Vap District tax branch management boards need more care about function of staff should combine of different skills and consider with their profession.
Especially, job should always innovate to avoid boring in every month.
Additional, staff have to take their responsibility with work.
5.2.2.4 Opportunity to develop
Go Vap District tax branch should give staff some training opportunities to improve their professional knowledge and has promoted policies for qualified staff. It will increase the satisfaction of staff Go Vap District tax branch. Go Vap District tax branch management boards facilitate staff know the conditions under which they were promoted, promoted policies for capacity, Advancement opportunities are fair to all employees.
54
REFERENCES
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Bui Nguyen Hung, Nguyen Thuy Quynh Loan (2004), Quality Management Vietnam National University Ho Chi Minh City Publishers
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Pearson Education South Africa.
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Dung Kim Tran (2003), Human Resource Management, Statistics Publishers Goblar, P.A., Warnich, S., Carrel, M.R., Elbert, N.F. & Hatfield, R.D. (2002).
Human Resources Management in South Africa, Second Edition. London:
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Phuong Dong Thi Thanh (2007), Human Resource Management, Statistics Publishers
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Quan Dong Ngoc (2012), Human Resource Management, National Economics University Publishers
Richard A. Swanson (2009), Foundations of Human Resource Development, Berrett-Koehler Publishers
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"Enhancing the competitiveness of small and medium enterprises Vietnam Nam in the context of international integration ", TP. HCM, 2/12/2005. pp. 349-365.
Tran Kim Dung. Human resource. - Tp. HCM: Statistics, 2006.
Vroom, V. H. (1964). Work and motivation. New York: Wiley.
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Wegner, T. 1993. Applied Business Statistics: Methods and Application. Kenwyn:
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Wigert, L. R. (2001). An investigation of the relationships among personality traits, locus of control, religious orientation, and life satisfaction: A path analytical study. Unpublished doctoral dissertation, The University of Nebraska, Lincoln.
William B. Werther, Jr. Keith David. Humain Resources and Personnel.
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APPENDIX
QUESTIONNAIRE
Dear participants,
For my master thesis, I am conducting a study "Improving quality of human resources at Go Vap District tax branch". I would greatly appreciate if you would spend the approximately 5-6 minutes of your time to respond to this multiple choice questionnaire.
Twenty-four descriptive statements are listed as below. Please read and rate each question on the scale of 1-5 in the respective columns.
Thank you in advance for your assistance with this research project.
Please rate the degree of your agreement
Strongly disagree Disagree Neutral Agree Strongly Agree
Work factor
1 Work characteristics is a combination of
different skills 1 2 3 4 5
2 Work is compelling, not boring 1 2 3 4 5
3
You find the reasonableness of the amount of work that is expected from you
1 2 3 4 5
4 Work is consistent with profession 1 2 3 4 5
Opportunity to develop
5 You have sufficient opportunity to 1 2 3 4 5
57
develop in your work
6 The variation in your work is
satisfactory 1 2 3 4 5
7
Go Vap District tax branch will facilitate for you to learn and improve professional knowledge
1 2 3 4 5
8 Go Vap District tax branch has
promoted policies for qualified person 1 2 3 4 5
9 Supervisor recognize the your
achievement 1 2 3 4 5
Responsibility
10 Work is assigned responsibility, clear
guiding 1 2 3 4 5
11 You receive recognition for tasks well
done 1 2 3 4 5
12 You am entrusted with great
responsibility in your work 1 2 3 4 5 Salary
13 You get higher salaries compared to the
market 1 2 3 4 5
14 Wages you receive match your
capabilities 1 2 3 4 5
15 Income distribution of the Go Vap
District tax branch is equal 1 2 3 4 5
58
16 Benefits of the policy clearly 1 2 3 4 5 Time pressure
17 You have enough freedom to decide
how you do your work 1 2 3 4 5
18
You spend more time doing what could be done by others with less experience
& training
1 2 3 4 5
19 Work doesn’t require frequent
extra-time 1 2 3 4 5
Staff relations
20 There is an atmosphere of co-operation
between staff & management 1 2 3 4 5
21 Management does involve staff in
decision making 1 2 3 4 5
22 The support for specialized knowledge
from colleagues at work 1 2 3 4 5
23 Colleagues are ready to assist you when
having trouble 1 2 3 4 5
The scale of Satisfaction
24 Are you really satisfaction with your
work at Go Vap District tax branch. 1 2 3 4 5 The scale quality of human resources
25 In general, you are completely satisfied with quality of human resources at Go
1 2 3 4 5
59
Vap District tax branch
26 In the future, you will continue to work
at Go Vap District tax branch 1 2 3 4 5
Please tell us about yourself and your work by answering the following questions:
Gender: Male Female Age:
Under 25 25 – under 35 35 – under 45 Over 45 Working: Less than 1 to 2 years
Less than 3 to 5 years More than 5 years ---Thank you for taking time and effort to fill out this survey---
60
CRONBACH ALPHA
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.698 4
Item Statistics
Mean Std. Deviation N
61
WOR1 3.90 .933 145
WOR2 3.90 .923 145
WOR3 4.23 .745 145
WOR4 3.73 .959 145
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
WOR1 11.87 3.670 .606 .549
WOR2 11.86 3.911 .533 .600
WOR3 11.53 4.348 .581 .588
WOR4 12.03 4.686 .265 .771
Scale Statistics
Mean Variance Std. Deviation N of Items
62
15.77 6.709 2.590 4
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.860 5
63
Item Statistics
Mean Std. Deviation N
OPP1 3.88 .870 145
OPP2 3.79 .914 145
OPP3 3.42 .918 145
OPP4 3.69 .886 145
OPP5 3.51 .914 145
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
OPP1 14.41 9.062 .610 .848
OPP2 14.50 8.571 .674 .833
OPP3 14.87 8.198 .756 .811
OPP4 14.60 8.769 .659 .836
OPP5 14.78 8.493 .692 .828
64
Scale Statistics
Mean Variance Std. Deviation N of Items
18.29 13.013 3.607 5
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
65
.806 3
Item Statistics
Mean Std. Deviation N
RES1 3.23 1.052 145
RES2 3.36 .991 145
RES3 3.52 .994 145
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
RES1 6.88 3.248 .604 .788
RES2 6.74 3.219 .689 .698
RES3 6.59 3.258 .670 .718
Scale Statistics
Mean Variance Std. Deviation N of Items
66
10.10 6.649 2.579 3
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.877 4
Item Statistics
Mean Std. Deviation N
SAL1 3.59 .871 145
67
SAL2 3.64 .831 145
SAL3 3.54 .921 145
SAL4 3.46 .950 145
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
SAL1 10.63 5.914 .633 .881
SAL2 10.58 5.551 .795 .822
SAL3 10.68 5.176 .795 .819
SAL4 10.77 5.264 .731 .846
Scale Statistics
Mean Variance Std. Deviation N of Items
14.22 9.354 3.058 4
Case Processing Summary
68
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.808 3
Item Statistics
Mean Std. Deviation N
TIM1 3.10 1.246 145
TIM2 3.42 1.206 145
TIM3 3.55 1.130 145
69
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
TIM1 6.97 4.333 .655 .740
TIM2 6.66 4.339 .694 .696
TIM3 6.52 4.890 .623 .771
Scale Statistics
Mean Variance Std. Deviation N of Items
10.08 9.279 3.046 3
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
70
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.812 4
Item Statistics
Mean Std. Deviation N
STA1 3.40 1.063 145
STA2 3.57 .927 145
STA3 3.50 .921 145
STA4 3.72 .837 145
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted
STA1 10.79 5.374 .518 .828
71
STA2 10.63 5.458 .634 .763
STA3 10.69 5.104 .746 .709
STA4 10.47 5.723 .658 .756
Scale Statistics
Mean Variance Std. Deviation N of Items
14.19 9.060 3.010 4
Case Processing Summary
N %
Cases
Valid 145 100.0
Excludeda 0 .0
Total 145 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.896 2
Item Statistics
Mean Std. Deviation N
QUA1 3.72 .887 145
QUA2 3.63 .934 145
Item-Total Statistics
72
Scale Mean if
Mean Std. Deviation Analysis N
WOR1 3.90 .933 145
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .846
Bartlett's Test of Sphericity
Approx. Chi-Square 1790.897
df 231
Component Matrixa
Component
1 2 3 4 5 6
WOR1 .505
WOR2 .525
WOR3 .537
OPP1 .724
OPP2 .649
OPP3 .703
OPP4 .593
OPP5 .668
RES1 .554
RES2 .642
75
RES3 .547 .585
SAL1 .660
SAL2 .678
SAL3 .655
SAL4 .657
TIM1 .591
TIM2 .518
TIM3 .592
STA1 .646
STA2 .608
STA3 .675
STA4 .597
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Component Transformation Matrix
Component 1 2 3 4 5 6
1 .461 .470 .467 .380 .322 .316
2 .400 -.404 -.025 -.193 -.398 .693
3 .470 -.197 -.375 -.354 .680 -.107
4 -.544 .345 -.193 -.295 .311 .604
5 -.002 -.056 -.662 .729 .024 .162
6 -.333 -.675 .406 .273 .421 .132
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
76
Descriptive Statistics
Mean Std. Deviation Analysis N
WOR1 3.90 .933 145
WOR2 3.90 .923 145
WOR3 4.23 .745 145
OPP2 3.79 .914 145
OPP3 3.42 .918 145
OPP4 3.69 .886 145
OPP5 3.51 .914 145
RES1 3.23 1.052 145
RES2 3.36 .991 145
RES3 3.52 .994 145
SAL1 3.59 .871 145
SAL2 3.64 .831 145
SAL3 3.54 .921 145
SAL4 3.46 .950 145
TIM1 3.10 1.246 145
77
TIM2 3.42 1.206 145
TIM3 3.55 1.130 145
STA2 3.57 .927 145
STA3 3.50 .921 145
STA4 3.72 .837 145
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .825
Bartlett's Test of Sphericity
Approx. Chi-Square 1580.381
df 190
Component Matrixa
Component
1 2 3 4 5 6
WOR1 .514
WOR2 .517 .521
WOR3 .506
OPP2 .633
OPP3 .698
OPP4 .591
OPP5 .671
RES1 .553
79
RES2 .644
RES3 .552 .608
SAL1 .671
SAL2 .705
SAL3 .673
SAL4 .676
TIM1 .598
TIM2 -.551
TIM3 .566
STA2 .596
STA3 .656
STA4 .583
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Component Transformation Matrix
Component 1 2 3 4 5 6
1 .499 .468 .406 .384 .329 .334
2 .299 -.371 .053 -.148 .699 -.510
3 .448 -.265 -.403 -.425 .061 .619
4 -.585 .383 -.206 -.217 .602 .245
5 -.037 -.216 -.591 .760 .149 .057
6 -.343 -.617 .527 .161 .124 .426
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
80
Descriptive Statistics
Mean Std. Deviation Analysis N
QUA1 3.72 .887 145
QUA2 3.63 .934 145
Correlation Matrix
QUA1 QUA2
Correlation
QUA1 1.000 .813
QUA2 .813 1.000
KMO and Bartlett's Test
81
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .500
Bartlett's Test of Sphericity
Approx. Chi-Square 153.985
df 1
Sig. .000
Communalities
Initial Extraction
QUA1 1.000 .906
QUA2 1.000 .906
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.813 90.639 90.639 1.813 90.639 90.639
2 .187 9.361 100.000
Extraction Method: Principal Component Analysis.
82
Component Matrixa
Component 1
QUA1 .952
QUA2 .952
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
83
REGRESSION
Variables Entered/Removeda
Model Variables Entered Variables Removed
Method
1 STA, TIM, WOR,
RES, SAL, OPPb . Enter
a. Dependent Variable: SAT b. All requested variables entered.
ANOVAa
a. Dependent Variable: SAT
b. Predictors: (Constant), STA, TIM, WOR, RES, SAL, OPP
Collinearity Diagnosticsa
a. Dependent Variable: SAT
Correlations
QUA SAT
QUA Pearson Correlation 1 .715**
84
Sig. (2-tailed) .000
N 145 145
SAT
Pearson Correlation .715** 1
Sig. (2-tailed) .000
N 145 145
**. Correlation is significant at the 0.01 level (2-tailed).
Variables Entered/Removeda
Model Variables Entered Variables Removed
Method
1 SATb . Enter
a. Dependent Variable: QUA b. All requested variables entered.
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 55.396 1 55.396 149.833 .000b
Residual 52.870 143 .370
Total 108.266 144
a. Dependent Variable: QUA b. Predictors: (Constant), SAT
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions (Constant) SAT
1
1 1.971 1.000 .01 .01
2 .029 8.174 .99 .99
a. Dependent Variable: QUA
85