Factors Affecting the Efficiency of the Internal Control System, Impact
on the Competitiveness of Vietnam Businesses. Case Study in Binh
Duong Province
NGUYEN VUONG THANH LONG
Economics Faculty, Thu Dau Mot University,
06 Tran Van on Street, Binh Duong Province, 820000, VIETNAM
NGUYEN HUU PHU
Board of Provost, Graduate School, Duy Tan University,
03 Quang Trung Street, Da Nang City, 550000, VIETNAM
VO VAN NHI
Accounting Faculty, University of Economics Ho Chi Minh City,
59C Nguyen Dinh Chieu Street, Ho Chi Minh City, 70000, VIETNAM
LE DUC TOAN
Socio Eco Research Institute, Graduate School, Duy Tan University,
03 Quang Trung Street, Da Nang City, 550000, VIETNAM
NGUYEN PHI SON
Board of Provost, Graduate School, Duy Tan University,
03 Quang Trung Street, Da Nang City, 550000, VIETNAM
Abstract: The article presents research on the factors affecting the effectiveness of the internal control system,
thereby finding out the relationship between the effectiveness of the internal control system and the
competitiveness of enterprises. The data was surveyed at 150 enterprises in Binh Duong province and
processed through SPSS 20.0 software. The results show that there are 6 factors affecting the effectiveness of
the internal control system. The control environment is a factor that strongly influences the effectiveness of
internal control. The effectiveness of the internal control system affects the competitiveness of the enterprise.
From the research results, the article has proposed some managerial implications for the relevant units.
Keywords: factors, effectiveness, internal control system, competitiveness, Vietnam.
Received: September 12, 2021. Revised: July 2, 2022. Accepted: July 23, 2022. Published: September 5, 2022.
1 Introduction
International economic integration is an
opportunity to help Vietnam's economy make great
progress, but businesses in Vietnam also face great
challenges in terms of competitiveness. To cope
with competitive pressure, Vietnamese enterprises
must always be proactive in all production and
business activities, on the one hand, ensure
compliance with the law, and on the other hand,
effectively use existing resources to achieve
business goals. The core issue is that the enterprise
must have an effective internal control system.
Internal control is an effective tool in corporate
governance. Internal control and the effectiveness
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.123
Nguyen Vuong Thanh Long, Nguyen Huu Phu,
Vo Van Nhi, Le Duc Toan, Nguyen Phi Son
E-ISSN: 2224-2899
1373
Volume 19, 2022
of the internal control system have been
implemented by many researchers around the
world. However, in Vietnam, research is still
limited on factors affecting the effectiveness and
competitiveness of internal control systems. There
is some independent research about the
effectiveness of the internal control system or
manufactory competitiveness. There are few studies
that combine them. Therefore, it is necessary to
have specific studies on the factors affecting the
effectiveness of the internal control system and
competitiveness. It is not only to help enterprises
have appropriate policies but also to give empirical
case studies for teaching and
research. Binh Duong is one of the provinces with
many suitable enterprises for research on this issue.
2 Literature Review
Derived from the agency theory initiated by Jensen
and Meckling [12] in the work "Theory of the firm:
Manager behavior, agency costs and, ownership
structure" introduced present their views on agent
theory. Agency theory explains the conflict of
interest relationship between the principal and the
agent and suggests measures to limit these
conflicts. Agency theory can be used to explain the
reason why it is necessary to design a good internal
control system, a good internal control system, to
reduce proxy costs and improve operational
efficiency at enterprises. Karma.
Research by Oksana A. & Nadezhda A. [16] on the
main elements of the internal control system in
managing the competitiveness of domestic
enterprises. Based on the systems approach, the
study considers internal control as an actual system
with basic properties. The study focuses on
analyzing the main elements of the internal control
system. The proposed approach includes the
following groups of factors: control objectives,
control objects, control environment, control
information, risk management, and, control
monitoring. Research by Bader M, M, A. & Zaher
A, F, A. [5] determines the influence of internal
control on a bank's competitive advantage with
three aspects: administrative control, financial
control, and, operating control. Research by
Buthayna M., Rand H, A., Bader Y, O. & Ali T. [6]
on examining the influence of the organization's
internal control system on organizational
performance. This study aims to investigate the
impact of the internal control system, including
Control Environment, Communication, Risk
Management, Operational Control, and, Monitoring
on organizational performance in Jordan.
In Vietnam, most of the authors only focus on
research on the factors affecting the effectiveness
of the internal control system, not on the
effectiveness of the internal control system
competitive force systems.
3 Conceptual Framework and
Research Hypotheses
The control environment is important because any
mistake can lead to fraud [5]. A good control
environment will lead to a reduction in errors and
anomalies [9]. Every company needs to keep
updating its internal control system due to the
changing environment.
Hypothesis 1: The control environment has a
positive influence on the effectiveness of internal
control
Risk assessment is important; Risks need to
be identified, analyzed, estimated, and, periodically
reviewed [16]. Risk assessment can be classified
into high, medium, and low. This will determine
the severity or treatment of each potential risk and
which areas need to be monitored and proactively
acted on [6].
Hypothesis 2: Risk assessment has a positive
influence on the effectiveness of internal control
Control processes are developed based on
the identified risk to reduce the odds of the risk
occurring. These control measures are put in place
to achieve the objectives of the enterprise [7]. The
identified risks can be prevented from occurring
through the organization of a sound system of
internal control [9]. Before control is established, a
cost-benefit analysis is required, so that the costs of
control do not exceed the benefits to be obtained
[16]. Hypothesis 3: Control activities have a
positive effect on internal control effectiveness
Information and communication systems
enable employees in an enterprise to capture and
exchange information necessary to perform,
manage, and control their activities and therefore
identify, capture and communicate that
information. inform the appropriate staff on a
timely basis
Hypothesis 4: Information and
communication have a positive influence on the
effectiveness of internal control
Monitoring is very important in the Internal
Control process [21]. Monitoring is an ongoing
activity that includes performing routine
procedures and reviewing documentation to
confirm that all procedures have been performed as
required. Monitoring can be used to know about the
effectiveness of internal control processes [25].
Hypothesis 5: Monitoring has a positive
effect on the effectiveness of internal control
Society is an aggregate of different interest
groups, the number of which is regulated and
limited. Group interest is one of the important
findings for consulting to come up with a
reasonable solution thereby improving the
effectiveness of the internal control system in the
competitive activities of the enterprise in the
coming time [25].
Hypothesis 6: Group interests hurt the
effectiveness of internal control
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DOI: 10.37394/23207.2022.19.123
Nguyen Vuong Thanh Long, Nguyen Huu Phu,
Vo Van Nhi, Le Duc Toan, Nguyen Phi Son
E-ISSN: 2224-2899
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The competition requires companies to have
a competitive advantage to win the competition and
win markets and opportunities. It is anticipated that
the company will need to develop a competitive
strategy that focuses on core competencies in terms
of price, quality, flexibility, and delivery. improve
performance, can be achieved by adopting one of
the competitive strategies by firms, as
demonstrated by Porter (2004), who argues that if a
firm can achieve and maintain a competitive
advantage through improving competitiveness [3]
Hypothesis 7: Internal control system
effectiveness has a positive effect on
competitiveness.
Fig. 1: Research Model
4 Research Methodology
Based on the research scale of Olufemi, AA [17]
combined with Vu.HT [25] and Afriapollo S. [3],
the author builds a survey scale suitable for the
research model at the contest. The testing of the
proposed scales, models, and hypotheses is carried
out in the following steps: preliminary testing by
Cronbach's Alpha reliability coefficient,
exploratory factor analysis EFA and multivariate
regression. Data for quantitative research was
collected from the sample through 150 valid
questionnaires used as data for the study. Data was
entered, coded, and analyzed through SPSS 20.0
software.
5 Research Findings
5.1 Cronbach's Alpha Reliability Test
As mentioned above, before being put into
exploratory factor analysis, the research will test
the scale using Cronbach's Alpha tool of SPSS
software to test the reliability of the component
scales in the research model. After using the SPSS
processing scale and Cronbach's Alpha test, the
processing results are as follows:
After analyzing the reliability of the scales
with Cronbach's Alpha coefficient, the author
found that the scales used to measure the concepts
in the research model are all good scales (reliability
of all scales). all scales are greater than 0.6) and the
observed variables are eligible to be used for the
step of exploratory factor analysis (EFA) After
testing the scales, the satisfactory scales will be
performed with exploratory factor analysis with
The principal components extraction method and
Varimax rotation.
5.2 Exploratory factor analysis EFA
The table below shows the results of the Barlett test
with sig = 0.000 and KMO = 0.772 > 0.5,
indicating that factor analysis is appropriate.
Table 1. Result of Bartlett test and KMO index of
variables KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.772
Approx. Chi-Square
5135.541
DF
780
Sig.
.000
At the levels of eigenvalues > 1, factor analysis
has extracted 9 factors from 40 observed variables
with a total variance extracted of 73.672% (>50%)
satisfactory. After using Varimax rotation, the
results of the factor rotation matrix for the scales of
the variables show that the factor loading
coefficients of these variables are all greater than
0.5, which is satisfactory. Based on the results of
the factor rotation matrix table, the command to
group average variables is used to group the
satisfactory variables with factor loading > 0.5 into
8 factors.
5.3 Correlation Coefficient Matrix between
Variables in the Model
Pearson correlation coefficient matrix analysis to
examine the correlation between variables. The
results show that the correlation coefficient
between the factor Internal control effectiveness
(EI) and 6 independent variables CE, RA, TT, CA,
MO, and GI is relatively high and the Sig value is
Control
environment
Risk
assessment
Control
activities
Information
Communicatio
n
Monitoring
ICS
effectivenes
s
Group
interests
competitive
ness
+
+
-
+
+
+
+
+
+
+
+
-
+
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DOI: 10.37394/23207.2022.19.123
Nguyen Vuong Thanh Long, Nguyen Huu Phu,
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E-ISSN: 2224-2899
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small (< 0.05.) in the variables CE, RA, TT, CA.
Considering the factors that have been tested for
reliability and the factor of discovery, the author
decided to keep 4 variables CE, RA, TT, and CA
for further consideration in the multiple regression
section. Preliminary we can conclude that 4
independent variables CE, RA, TT, and CA can be
included in the model to explain the variable EI
(Type 2 variables MO, GI because sig is much
larger than 0.05, 0.574, and 0.574 respectively).
0.440 should not be statistically significant).
The results of the Pearson correlation
coefficient matrix show that the dependent variable
EI has a significant correlation with the 4
independent variables CE, RA, TT, and CA in the
research model. The correlation coefficient
between the dependent variable and the 4
independent variables CE, RA, TT, and CA is
greater than 0 and less than 0.7 (condition index
that the research concepts have achieved
discriminant value). Therefore, we can conclude
that 4 independent variables CE, RA, TT, and CA
have a positive correlation with the dependent
variable and are eligible to conduct multiple
regression analysis. In contrast, none of the
independent variables were negatively correlated
with the dependent variable.
In addition, the study shows that Internal
Control Effectiveness (EI) and Competitiveness
(CC) have sig = 0.000. This shows that there is a
positive correlation between Internal Control
Efficiency and Competitiveness, the specific
correlation coefficient is 0.097.
5.4 Confirmatory Factor Analysis CFA
Confirmatory factor analysis aims to confirm that
the measured model is consistent with the actual
data, to conclude CFA, the confirmatory measures
are used as follows:
Fig. 2: CFA Result
Table 2. The results of the CFA test of the actual fit
of the measurement model
THOUGHT
THOUGHTS _
Model
value
CONCLUSION
first
Chi-squared
significance level
(Cmin)
P-value > 0.05
0.0 00
The
measurement
model fits the
actual data.
Values of CFI,
TLI do not
reach >
0.90,and
academically, if
other measures
are met because
of the small
sample size
(150), the
smaller the
RMSEA index
the better, and
the model
needs to be
extended to
investigate.
2
Chi-squared adjusted
for degrees of
freedom (Cmin/df),
2/df 5
2,280
3
Comparative Fit
Index (CFI) CFI >
0.90; 0 < CFI < 1, the
closer to 1, the more
appropriate
0.726
4
Tucker-Lewis Index
(TLI)
TLI > 0.90
0.700
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5
RMSEA (Root Mean
Square Error
Approximation)
index.
RMSEA < 0.05:
Model fits well;
RMSEA <0.08,
accept; Smaller :
Good stat.
0, 112
reduce the error
in the model
5.5 Analysis of Results Multivariate
Regression
Based on the results of correlation analysis and
multivariable regression analysis, the author
concludes that there are 2 factors affecting the
effectiveness of internal control, which are: Control
environment and risk assessment. In which, the
degree of influence of factors on the dependent
variable Internal control efficiency is in the
following order:
- Control environment factor with
normalization coefficient β=0.567. The
standardized beta coefficient of the Control
Environment factor has a positive sign, so it reflects
the positive relationship between the Control
Environment factor and Internal control
effectiveness.
- At the same time, the risk assessment
factor with the normalization coefficient β= 0.214.
The standardized beta coefficient of the risk
assessment factor also has a positive sign, so it
reflects the positive relationship between the risk
assessment factor and the effectiveness of internal
control.
In addition, the study shows that the
effectiveness of internal control and
competitiveness has sig = 0.000. This shows that
there is an extremely close relationship between
Internal Control Efficiency and Competitiveness.
Internal control effectiveness and Competitiveness
have a positive correlation. The correlation
coefficient is 0.097.
Through the regression results, we have the
following hypothesis testing results:
Table 3. Summary table of hypothesis testing
results
Hypothesis
Inspection
results
H1
The control environment has
a positive influence on the
effectiveness of internal
control.
Accept
H2
Risk assessment has a
Accept
positive influence on the
effectiveness of internal
control.
H3
Control activities have a
positive influence on the
effectiveness of internal
control.
Does not
accept
H4
Information and
communication have a
positive influence on the
effectiveness of internal
control.
Does not
accept
H5
Effective internal control
has a positive influence on
competitiveness.
Accept
Based on the results of the regression
analysis on the impact of the factors on the
effectiveness of internal control, the author will
propose managerial implications to further improve
the effectiveness of internal control to enhance the
competitiveness of manufacturing enterprises.
6 Conclusions
The results when analyzing the factors of control
activities and assessing risks strongly affect the
effectiveness of the internal control system. Some
specific conclusions are as follows:
Firstly, the control environment is a factor that
strongly influences the effectiveness of internal
control.
Secondly, businesses are operating in an
extremely complex socio-economic environment,
with risks of epidemics, economic-political crises,
and supply chains disrupting production and
business activities, precisely because Therefore, the
risk assessment must be placed on top and carried
out throughout and continuously at enterprises.
Third, the effectiveness of internal control is to
show the impact (correlation) on competitiveness
from the perspective of leaders and members of the
enterprise. The improvement of the effectiveness of
the internal control system does not directly affect
the domination of the market but creates positive
changes in the perception of competitiveness of the
enterprise itself and its members.
Limitations of the study and directions for
further research
The study was conducted in a short time in
2021, along with limited economic potential, so the
restriction on sampling leads to a small sample size
compared to the size of the market in Binh Duong
province.
Regarding the research method, the small
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DOI: 10.37394/23207.2022.19.123
Nguyen Vuong Thanh Long, Nguyen Huu Phu,
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Volume 19, 2022
sample size led to the confirmatory factor analysis
and the linear structure not reaching the
appropriateness of the research model with reality
(CFA results), leading to the failure to assess the
level of research. The impact of the effectiveness of
the internal control system on the competitiveness
of enterprises is also the director of the author's
next research with the expansion of the survey and
application of a stronger research model. To assess
the impact of operational efficiency on the
competitiveness of enterprises.
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