Printer Friendly

The effect of internal control on asset misappropriation: The case of Vietnam.

1. Introduction

Internal control system consists of policies and procedures established and implemented by the management and the staff of an organization to gain reasonable assurance regarding the achievement of the organization's objectives (IAASB, 2009). Internal control plays an essential role in ensuring the creditability of information, effectiveness and efficiency of operations and compliance with laws and regulations (Campbell & Hartcher, 2010). According to COSO (2013), an organization's internal control comprises of control environment, risk assessment, information and communication, control activities and monitoring of control. Although internal control has its inherent limitations, a good internal control system can support management in detecting and addressing potential issues before they turn into severe problems.

Asset misappropriation is a kind of fraud involving the theft of the assets of an organization by its employees, management or third parties. In the past years, there have been many asset misappropriation cases discovered among businesses. According to ACFE's global survey report on fraud and abuse in 2018, asset misappropriations schemes are the most common type of fraud, account for 89% of fraud cases discovered (ACFE, 2018). The most risky areas include payment fraud, expense reimbursement and cash on hand. In Vietnam, there have been a number of fraud cases discovered in the past decade, including cases involving losses from 200 million dollars in commercial banks such as in Vietnam Joint Stock Commercial Bank for Industry and Trade, Vietnam Construction Bank.

This fact raises the question of the effect of internal control upon the control of misappropriation in the businesses. Therefore, this study is conducted to examine the effect of internal control components on asset misappropriation in Vietnamese firms. The study addresses two questions: (i) Do internal control components have effect on asset misappropriation in Vietnamese firms?, and (ii) What are the levels of impact of different internal control components on asset misappropriation in Vietnamese firms?

To answer the research questions, questionnaires on asset misappropriation and the impact of internal control components are designed and sent to managers, internal auditors, and chief accountants and accounting staff at the firms. The responses are then analyzed using Pearson's correlation and multiple regression analysis to identify the impact of internal control components on asset misappropriation.

The remainder of the paper is organized as follows. Section 2 reviews the related theoretical framework and literature. Section 3 presents some hypotheses and methodology. The results of the study are reported and discussed in the fifth section. Finally, the last section concludes the paper, presents major findings.

2. Theoretical framework and literature review

2.1. Internal control and its components

According to COSO (2013), internal control is understood as a process, effected by an entity's board of directors, management, and other personnel, designed to provide reasonable assurance regarding the achievement of objectives relating to operations, reporting, and compliance. Internal control includes five components, which are control environment, risk assessment, information and communication, control activities and monitoring.

Control environment

Control environment comprises the ethical values, organizational structure, assignment of responsibility and authority, personnel policies and procedures, as well as the attitudes and awareness of the management regarding the importance of internal control to the entity's operation. Control environment has a directly impact on the mindset of each member within the organization and the strength of the whole internal control system (COSO, 2013). A good control environment may support a good internal control system, which helps to reduce the opportunity of misappropriation.

Risk assessment

Risk assessment is the process of identifying and addressing the risks, which might affect the achievement of the organization's objectives. After risks have been identified and assessed, appropriate actions are made to respond to the assessed risks.

The process of analyzing and assessing risk is a dynamic process. Management needs to consider the impact of changes in business operations and its external environment in order to identify and assess the risks faced by the business (COSO, 2013).

Information and communication

Information includes all that are generated and collected from internal and external sources of an organization, and processed by managers and staff in the management of the organization's activities. Communication is the process of collecting, providing and sharing information within an organization and between the organization with external parties.

The information system includes the accounting system which is designed to timely identify and record all transactions, to ensure true and fair presentation of the financial statements.

Control activities

According to COSO (2013), control activities are policies and procedures implemented to address the assessed risks to the achievement of objectives. Control activities are executed across all levels of managements and in all functions of an organization. Control activities include such activities as authorizations, approvals, verifications, and reconciliations, reviews of performance and segregation of duties. Appropriate control activities are expected to reduce the chance of asset misappropriation in organizations.

Monitoring

Monitoring is the process in which the quality of internal control is evaluated. Monitoring provides management with information regarding whether or not their internal control system be understood and implemented by the staff, be applied and followed on a daily basis, be modified or improved to match with changes in external context (IAASB, 2009). Monitoring activities could be categorized into ongoing monitoring and separate monitoring. Ongoing monitoring occurs right within the operation process by managers and staff as allowed within their responsibilities. Separate monitoring is usually performed by managers and the internal audit unit.

2.2. Literature review

There have been a number of researches conducted to examine the impact of internal control in the prevention and detection of fraudulent activities in businesses.

Barnett et al. (1998) provide guidance on conducting fraud assessment in accordance with SAS 82 - Consideration of fraud in a financial statement audit. The study asserts that control environment plays an important role in shaping the attitude and awareness of the individuals within organizations. However, a good control environment alone may not prevent and detect fraud. Management needs control activities to address fraud risks.

Hermanson et al. (2012) conduct a research on the effectiveness of internal controls of firms in the US. Based on survey questionnaires from approximately 500 chief audit executives and internal auditors, the study provides an insider's perception of the strength of organizations' internal controls. The results show that even though the respondents largely rated control strength as relatively high, there are areas for improvements, especially assessing the tone at the top and management override of controls.

Schneider et al. (2009) review the literature on weaknesses primarily based on internal control reports under Section 404 and 302 of SOX. The review provides insights into the types of firms with internal control deficiencies, the nature and consequences of the deficiencies, and auditing issues related to the deficiencies.

Coram et al. (2008) explore the association between the level of asset misappropriation and the internal audit function, which is a part of the internal control system, in private and public sector organizations in Australia and New Zealand. By using analysis of covariance, the results show that organizations that have an internal audit function have higher chance of covering and self-reporting misappropriations. In addition, it is less likely for organizations that depend largely on an outsourced internal audit to cover and self-report misappropriations than those which self-perform parts of internal audit work. The findings indicate that internal audit improves the organizations' ability to detect and report fraud by improving the control and monitoring environment.

Abiola & Oyewole (2013) evaluate the effectiveness of internal control system in detecting frauds in Nigerian commercial banks with data collected from the structured questionnaires completed by the banks' managers and published accounts of the banks. By adopting Chi-square analysis, the results reveal a tight relation between internal control and the detection of frauds in the banks.

Wood & Brathwaite (2012) investigate the adequacy of the internal controls relating to cash operations, and fraud detection and prevention at a leading supermarket in Barbados. Based on the results of the structured questionnaire covering five internal control components and interview with the supermarket's head accountant, the study concludes that internal control procedures implemented within the studied organization are effective and secured for cash while able to prevent frauds and errors of staff.

Salehi, Shiri, & Ehsanpour (2013) conduct the study on the effectiveness of internal control in the Iranian banking industry on prevention of frauds and errors, with a particular case of Bank Mellat. Based on questionnaires completed by the bank's managers, using the Spearman's correlation test, the results indicate that internal control within Bank Mellat had sufficiently able to prevent frauds within the bank and limitations in the components of internal control were related to the presence of frauds and errors.

Naruedomkul & Rodwanna (2010) investigate the risk factors causing fraud and the role of internal control and corporate governance in reducing fraud risk in 1,065 listed and non-listed companies in Thailand. By employing one-way ANOVA, the results show that internal control has impact on a number of fraud risk factors such as refusal to take vacations, excessive pressure from within organization, excessive family/peer pressure for success, living beyond means, financial difficulties, borrow money from coworkers and control issues, unwillingness to share duties.

Nguyen (2016) studies how the evaluation of internal control and fraud risk factors are related to the audit planning of independent auditors in Vietnam. Data collected through questionnaires completed by independent auditors show the lack of internal control to be the major cause of fraud among firms in Vietnam. Le (2015) studies the quality of financial statement audit for commercial banks in Vietnam. The results indicate that internal control within the banks being one of the external factors affecting the audit quality. Due to the low effectiveness of internal control in the banks, the quality of financial information was affected and indirectly led to lower audit quality.

Several other papers have evaluated internal control and the relationship between internal control and audit procedures. Karagiorgos et al. (2011) study the relationship between internal control and the effectiveness of internal audit in Greek hotels. Sawalqa & Qtish (2012) study the relationship between internal control and the effectiveness of audit program. Jokipii (2010) studies the determinants and consequences of internal control in firms.

In conclusion, prior studies conducted in different countries in the world have confirmed the relationship between internal control and the prevention and detection of fraud. However, not many researches investigate the relationship between internal control and prevention and detection of misappropriation in Vietnamese firms. Thus, this paper is among the first studies contributing to the overall research literature for this subject in the context of emerging countries like Vietnam.

3. Research methodology

3.1. Research hypotheses

As presented in the theoretical framework, internal control consists of five components including control environment, risk assessment, information and communication, control activities, and monitoring. So investigation of the relationship between internal control and asset misappropriation turns out that we scrutinize the relationship between each component of internal control and asset fraud. So we examine some assumptions as below:

H1: There is a significant relationship between control environment and asset misappropriation.

H2: There is a significant relationship between risk assessment and asset misappropriation.

H3: There is a significant relationship between information and communication and asset misappropriation.

H4: There is a significant relationship between control activities and asset misappropriation.

H5: There is a significant relationship between monitoring and asset misappropriation.

The objective of this paper is to evaluate the relationship of each component of internal control system toward the control of asset misappropriation in Vietnamese firms. To conduct the study, questionnaires are designed and sent to managers, internal auditors, and chief accountants and accounting staff at the firms.

3.2. Questionnaire design

The questionnaire is divided into 3 sections. Section 1 contains general questions about the survey participants. Section 2 contains questions in which respondents are required to rate the popularity of asset misappropriation in their firms based on Likert scale from 1 to 5, with 1 being Completely Not Popular and 5 being Completely Popular. Section 3 contains questions, which required respondents to evaluate the impact of internal control components toward asset misappropriation control in their firms according to Likert scale from 1 to 5 with 1 being Very Low Impact to 5 being Very High Impact.

Measurements for internal control components and asset misappropriation are defined based on several previous studies (Nguyen, 2017; Jokipii, 2010; Karagiorgos et al., 2011; Ta, 2017; Sawalqa & Qtish, 2012). In particular, there are 21 measurement indicators used to represent the five internal control components, 4 measurement indicators used to represent the popularity level of asset misappropriation.

3.3. Data collection

The complete questionnaires are then sent to managers, internal auditors, chief accountants and accounting staff in the firms. The study applies both online and paper-based questionnaires using convenience sampling method. Online questionnaires are prepared in Google document and sent to email addresses of Vietnamese firms, which were collected from the Vietnam State Security Commission's website. Paper-based questionnaires are delivered to the participants of certified accountants and internal auditors certificate courses provided by professional training centers in Hanoi and Ho Chi Minh City. Questionnaires are collected during the period from October 2017 to March 2018. We sent 850 questionnaires and received 97 online and 182 paper-based valid responses with the overall response rate of 32%.

3.4. Data analysis

Questionnaires collected are processed by SPSS software. The examination of scale reliability is conducted on all variables using the Cronbach's Alpha measure and exploratory factor analysis assisted by SPSS 20 in order to filter out invalid variables.

Then, to examine the research hypotheses, the paper conducts two analyses: Pearson's correlation analysis to test the linear correlation between variables; and multiple regression analysis to measure the impact of independent variables upon the dependent variable.

Using the proposed assumption, we have the equation for the multiple regression analysis as followed:

FSFraud = [alpha] + [[beta].sub.1] CE + [[beta].sub.2] RA + [[beta].sub.3] IS + [[beta].sub.4] CA+ [[beta].sub.5] MO + [epsilon]

Where, FSFraud - Popularity level of asset misappropriation; CE - Control environment; RA - Risk assessment; IS - Information and communication; CA - Control activities; MO - Monitoring; [epsilon] - error term; [alpha], [[beta].sub.1], [[beta].sub.2], [[beta].sub.3], [[beta].sub.4], [[beta].sub.5] are the intercept and coefficients to be estimated in the model.

4. Research results

In this part, we present the results of (i) Descriptive statics of respondents; (ii) Descriptive statistics of variables; (iii) Pearson's correlation analysis; and (iv) Multiple regression analysis.

4.1. Descriptive statistics of respondents

Table 1 presents descriptive statistics of the respondents.

Of the 279 respondents, the largest sector represented is banking and finance (33%), followed by manufacturing, construction and real estate (31%), trading and services (25%), and other (11%). 33% of the businesses are listed firms, 57% are of large scale with more than 200 employees. The survey participants include 28% internal auditors, 22% chief accountants, 30% staff accountants and 20% department heads.

4.2. Descriptive statistics of variables

This study assesses reliability by looking at single item reliability and validates them by using item-total correlation and Cronbach's alpha assisted by the SPSS statistical package. The result of reliability analysis shown in Table 2 and 3 indicates that all the study factors are reliable with satisfactory Cronbach's alpha values ranged from 0.772 to 0.878 and the number of items ranged from 3 to 5 (Hoang & Chu, 2008).

The study employs the exploratory factor analysis with principal component technique and varimax rotation to identify the relationships between the variables and assess the factor structures (Table 4).

The results show 5 components extracted for the independent variables with the total variance explained of 68%.

4.3. Pearson's correlation analysis

Pearson's correlation analysis is performed to assess the linear relationship between the dependent variable and independent variables.

Table 5 shows correlation matrix for both the dependent variable and the independent variables. The results show that all independent variables are significantly correlated with the dependent variable (r ranging

from 0.299 to 0.499, p < 0.01). This means that there is a linear relationship between each internal control component and the fraud level.

4.4. Multiple regression analysis

As shown in Table 6, adjusted [R.sup.2] indicates that the internal control components explain 42% of the variance of fraud level in the firms. The F-statistic is statistically significant at the 0.000 level, which means that the model fits the data. VIF values of all independent variables are less than 2, therefore reducing the problem of multicollinearity between the independent variables (Hair, Black, Babin, & Anderson, 2010). Durbin-Watson of 1.846 shows that there is no autocorrelation in the sample.

P-value of each independent variable is less than 0.05. Therefore, all hypotheses which state that there is a significant relationship between each internal control component and fraud are supported at the 0.05 significant level. This means that all internal control components are of importance to fraud control.

The result shows that all internal control components are negatively correlated with the independent variable. The negative sign of the betas indicates that when the internal control components are more effective, the level of misappropriation decreases.

Of the five components, control environment has the strongest influence on fraud control (beta = -0.208). The next influencing factors are control activities (beta = -0.206) and information and communication (beta = -0.195). The impact of the other two components - risk assessment, and monitoring - is less certain (beta -0.157 and -0.148 respectively).

From the result, we have the equation for the multiple regression:

FSFraud = - 0.208 CE - 0.157 RA - 0.195 IS - 0.206 CA - 0.148 MO

5. Discussion

The result of the regression model confirms that control environment has the most impact on fraud control in the businesses. This is consistent with previous studies which indicate that control environment is an important factor in preventing and detecting fraud (Barnett et al., 1998). Control environment comprises the integrity and ethical values of the organization. Control environment has a pervasive impact on the overall system of internal control (COSO, 2013). Therefore, a strong control environment is more likely to reduce the chance of fraud in an organisation.

Control activities are also an important component of the internal control system. This is in line with previous studies that assert the role of control activities. Although control environment is important, a positive control environment alone may not prevent and detect fraud (Barnett et al., 1998). An entity's control activities such as segregation of duties, authorization and approval may address the possibility of embezzlement and collusion with external parties.

Information and communication also plays important role in fraud control in the firms. Through the process of recording and classifying of information, the accounting system not only provide necessary information for management but also helps control business activities. The smooth flows of information between different sections of a business reduce the chance of fraud being committed.

Monitoring and risk assessment are considered of having less impact on fraud control. This could be due to the fact that Vietnamese businesses have not given much attention to risk management and monitoring of control. Except for big organisations such as financial institutions, small and medium enterprises might not have enough resources and experience to deal with fraud risk identification and assessment. Similarly, businesses do not seem to have paid much attention to monitoring of control as a tool to fraud prevention.

6. Limitations of the study

In spite of efforts in data collection, data compilation, in some aspects, is not comprehensive. The study could be further accomplished by adding to analyse Vietnamese firms by sectors and expanding sample size. Nevertheless, the results have been indicated on scientific foundation. The analysis and conclusion of this study are good reference for further researches of the impact of internal control on asset manipulation in firms of emerging countries.

7. Conclusion

This research examines the impact of COSO five internal control components on asset misappropriation in Vietnamese firms. The relationship between internal control components and misappropriation is tested using Pearson's correlation and multiple regression analysis. Based on 279 questionnaires from internal auditors, accountants and department managers, the results show that all five control components contribute significantly toward fraud control in the firms. Of the five components, control environment presents the strongest influence, followed by control activities and information and communication. Risk assessment and monitoring show slighter impact on fraud control.

The result of the study suggests that Vietnamese firms should make more effort to build strong control environment in their organizations. It is important that the board of directors and management improve the tone at the top in the organizations. Internal and external auditors should work with the boards of directors and management to improve the risk assessment process. The boards and senior management should ensure ongoing and separate monitoring to ascertain that controls are present and functioning properly.

The study contributes to the literature on the relationship between internal controls and the prevention and detection of misappropriation in firms. In spite of efforts in data collection, the compilation of data, to some extent, is not comprehensive. The research could be further accomplished by expanding sample size. However, the findings have been pointed on scientific foundations. The analysis, conclusions and suggestions of this study are good reference for further researches relating the topic of relationship between internal control and assets fraud in firms of emerging countries.

References

Abiola, I., & Oyewhole, A. (2013). Internal control system on fraud detection: Nigeria experience. Journal of Accounting and Finance, 13(5), 141-152.

ACFE (2018). Report to the nations - 2018 global study on occupational fraud and abuse. Retrieved August 18, 2018, from ACFE website: https://www.acfe.com/report-to-the-nations/2018/

Barnett, A., Brown, J., Flemming, J., & Read, W. (1998). The CPA as a fraud-buster. Journal of Accountancy, 185(5), 69-73.

Campbell, S., & Hartcher, J. (2010). Internal control for small business. Retrieved october 3, 2018, from https://s3-ap-southeast-2.amazonaws.com/

Coram, P., Ferguson, C., & Moroney, R. (2008). Internal audit, alternative internal audit structures and the level of misappropriation of assets fraud. Accounting and Finance, 48, 543-559.

COSO. (2013). Internal control - Integrated framework. Executive summary. Retrieved August 18, 2018, from COSO website: https://www.coso.org/Documents/990025P-Executive-Summary-final-may20.pdf

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). New Jersey: Pearson Prentice Hall.

Hermanson, D., Smith, D., & Stephens, N. (2012). How effective are organizations' internal controls? Insights into specific internal control elements. Current issues in auditing, 6(1), A31-A50.

Hoang, T., & Chu, M. N. (2008). Analyse research data with SPSS. Ho Chi Minh City: Hong Duc Publisher.

IAASB. (2009). International standard on auditing 315: Identifying and assessing the risk of material misstatement through understanding the entity and its environment. Retrieved August 18, 2018, from IFAC website: http://www.ifac.org/system/files/downloads/a017-2010-iaasb-handbook-isa-315.pdf

Jokipii, A. (2010). Determinants and consequences of internal control in firms: a contigency theory based analysis. Journal of Management and Governance, 14(2), 115-144.

Karagiorgos, T., Drogalas, G., & Giovanis, N. (2011). Evaluate the effectiveness of internal audit in Greek hotel business. International Journal of Economics Sciences and Applied Research, 4(1), 19-34.

Le, H. (2015). Measures to improve the quality of financial statement audits of commercial banks in Vietnam. Ministry-level research project, Banking Academy.

Naruedomkul, W., Rodwanna, P. (2010). Organization frauds in Thailand: a survey on risk factors. International Journal of Criminal Justice Sciences, 5(1), 203-219.

Nguyen, T. T. (2017). The relationship between internal control, fraud risk and audit planning in financial statement audits. PhD thesis, National economics university, Hanoi, Vietnam.

Salehi, M., Shiri, M., & Ehsanpour, F. (2013). Effectiveness of internal control in the banking sector: Evidence from Bank Mellat - Iran. The IUP Journal of Bank Management, XII(1), 23-34.

Sawalqa, F. A., & Qtish, A. (2012). Internal control and audit program effectiveness : Empirical evidence from Jordan. International Business Research, 9, 128-137.

Schneider, A., Gramling, A., Hermanson, D. R., & Ye, Z. (2009). A revies of academic literature on internal control reporting under SOX. Journal of Accounting Literature, 28, 1-46.

Ta, T. T. (2017). Fraud audit in financial statemetn audit of non-financial listed companies in Vietnam stock market. PhD thesis, National economics university, Hanoi, Vietnam.

Wood, A., & Brathwaite, N. (2012). Internal controls in the retail sector: a case study of a leading supermarket in Barbados. International Journal of Arts and Commerce, 2(11), 1-16

Thi Thu Ha Le, (1) Manh Dung Tran (2)

(1) Banking Academy, Vietnam

(2) National Economics University, Vietnam

corresponding e-mail: manhdung[at]neu(dot)edu{dot}vn

address: 14th Floor, Building A1, National Economics University, Hanoi, Vietnam

DOI: http://dx.doi.org/10.15208/beh.2018.64
TABLE 1. DESCRIPTIVE STATISTICS OF RESPONDENTS

                               FREQUENCY  PERCENTAGE

BUSINESS SECTOR
  Manufacturing, construction   87        31
  and real estate
  Trading and services          69        25
  Banking and finance           92        33
  Others                        31        11
LISTING STATUS
  Listed firms                  92        33
  Unlisted firms               187        67
BUSINESS SIZE
  Small and medium             120        43
  Large                        159        57
RESPONDENT'S TITLE
  Internal auditors             77        28
  Chief accountants             62        22
  Accounting staff              84        30
  Department managers           56        20

TABLE 2. DESCRIPTIVE STATISTICS FOR THE IMPACT OF INTERNAL CONTROL ON
ASSET MISAPPROPRIATION

                     Min  Max  Mean  SD     Corrected item-
                                            Total correlation

CONTROL ENVIRONMENT            3.85  1.003
CE1                  1    5    3.83  0.981  0.724
CE2                  1    5    3.86  1.015  0.787
CE3                  1    5    3.83  0.992  0.716
CE4                  1    5    3.87  1.024  0.719
RISK ASSESSMENT                3.34  1.081
RA1                  1    5    3.32  1.077  0.652
RA2                  1    5    3.20  1.090  0.674
RA3                  1    5    3.44  1.084  0.667
RA4                  1    5    3.42  1.052  0.624
RA5 (a)              1    5    3.39  1.100  0.247
INFORMATION AND                3.37  1.017
COMMUNICATION
IS1                  1    5    3.37  1.061  0.551
IS2                  1    5    3.72  0.862  0.654
IS3                  1    5    3.39  1.026  0.503
IS4                  1    5    3.41  1.089  0.654
IS5                  1    5    3.32  1.046  0.525
CONTROL ACTIVITIES             3.70  0.990
CA1                  1    5    3.78  0.974  0.655
CA2                  1    5    3.66  0.994  0.715
CA3                  1    5    3.76  1.050  0.676
CA4                  1    5    3.63  0.942  0.625
MONITORING                     3.57  0.995
MO1                  1    5    3.59  0.962  0.572
MO2                  1    5    3.57  0.949  0.646
MO3                  1    5    3.56  1.074  0.613

                     Alpha if  Cronbach's
                     deleted   alpha

CONTROL ENVIRONMENT            0.878
CE1                  0.848
CE2                  0.823
CE3                  0.851
CE4                  0.851
RISK ASSESSMENT                0.787
RA1                  0.717
RA2                  0.709
RA3                  0.712
RA4                  0.727
RA5 (a)              0.844
INFORMATION AND                0.793
COMMUNICATION
IS1                  0.761
IS2                  0.735
IS3                  0.776
IS4                  0.726
IS5                  0.770
CONTROL ACTIVITIES             0.836
CA1                  0.798
CA2                  0.771
CA3                  0.790
CA4                  0.811
MONITORING                     0.772
MO1                  0.731
MO2                  0.653
MO3                  0.694

Note: (a) - Item deleted due to low corrected item-total correlation.

TABLE 3. DESCRIPTIVE STATISTICS FOR THE POPULARITY OF FRAUDULENT
FINANCIAL REPORTING

                   MIN  MAX  MEAN  SD     CORRECTED ITEM-
                                          TOTAL CORRELATION

MISAPPROPRIATION             2.09  0.820
Misappropriation1  1    5    2.04  0.821  0.801
Misappropriation2  1    5    2.08  0.810  0.817
Misappropriation3  1    5    2.07  0.797  0.764
Misappropriation4  1    5    2.17  0.850  0.756

                   ALPHA IF  CRONBACH'S ALPHA
                   DELETED

MISAPPROPRIATION             0.904
Misappropriation1  0.870
Misappropriation2  0.864
Misappropriation3  0.883
Misappropriation4  0.886

TABLE 4. ROTATED COMPONENT MATRIX

                     COMPONENT
         1      2     3          4     5

CE2      .881
CE1      .832
CE3      .803
CE4      .783
RA1            .809
RA2            .793
RA3            .700
RA4            .695
CA2                  .804
CA1                  .785
CA3                  .752
CA4                  .694
IS4                             .743
IS1                             .726
IS3                             .669
IS5                             .657
MO1                                   .781
MO2                                   .745
MO3                                   .740
IS2 (a)                         .628  .570

Note: (a) - Item deleted due to cross-loading

TABLE 5. CORRELATION MATRIX OF VARIABLES

                  FINANCIAL    CE           RA
                  STATEMENT
                  FRAUD (FSF)

Misappropriation  1            -0.437 (**)  -0.493 (**)
CE                              1            0.388 (**)
RA                                           1
IS
CA
MO

                  IS           CA           MO

Misappropriation  -0.465 (**)  -0.499 (**)  -0.459 (**)
CE                 0.299 (**)   0.308 (**)   0.314 (**)
RA                 0.432 (**)   0.479 (**)   0.486 (**)
IS                 1            0.420 (**)   0.360 (**)
CA                              1            0.480 (**)
MO                                           1

Note: (**) - Correlation is significant at the 0.01 level (2-tailed).

TABLE 6. SUMMARY RESULT OF REGRESSION ANALYSIS

                    UNSTANDARDIZED              STANDARDIZED
MODEL               COEFFICIENTS                COEFFICIENTS
                    B               STD. ERROR  BETA

(Constant)          4.938           .205
CE                  -.175           .043        -.208
RA                  -.128           .047        -.157
IS                  -.179           .049        -.195
CA                  -.184           .050        -.206
MO                  -.129           .049        -.148
[R.sup.2]           0.430
Adjusted [R.sup.2]  0.420
Durbin-Watson       1.846
F                   41.204
Sig                 0.000

                          COLLINEARITY STATISTICS
MODEL               SIG.
                          TOLERANCE  VIF

(Constant)          .000
CE                  .000  .809       1.236
RA                  .007  .617       1.621
IS                  .000  .735       1.360
CA                  .000  .652       1.534
MO                  .009  .668       1.496
[R.sup.2]
Adjusted [R.sup.2]
Durbin-Watson
F
Sig
COPYRIGHT 2018 Prague Development Center
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Le, Thi Thu Ha; Tran, Manh Dung
Publication:Business and Economic Horizons
Geographic Code:9VIET
Date:Dec 1, 2018
Words:4812
Previous Article:Assessing the financial security of the engineering enterprises as preconditions of application of anti-crisis management: practical aspect.
Next Article:Do financial development and personal remittances matter in South African economic growth? A bound testing investigation.

Terms of use | Privacy policy | Copyright © 2020 Farlex, Inc. | Feedback | For webmasters