The Value of Public Sector Risk Management: An Empirical Assessment of Ghana
Abstract
:1. Introduction
Prior Studies
2. The Concept of Risk
2.1. Events Identification
2.2. Risk Response
2.3. Risk Assessment and Internal Control
2.4. Importance of Risk Management in the Public Sector
“Poor controls lead to losses, scandals, failures and damage to the reputation of organisations in whatever sector they are from. Where risks are allowed to run wild and new ventures are undertaken without a means of controlling risk, there are likely to be problems.”
3. Methodology
3.1. The Conceptual Framework and Hypothetical Assumption
3.2. Reliability and Model Definition
Cronbach’s Alpha
Model Specification
- Yi = dependent variable–Effectiveness (EFF).
- β0 represents the population intercept of the dependent variable Y.
- β1—represents the slope and coefficient of the population (β1… β5).
- Xi—represents the explanatory variables—(control envin. commitment to ethics, segregation, review and communication)
- εi = Random error term
4. Result and Implication
4.1. Descriptive Statistics
4.1.1. Principal Component Analysis (PCA)
4.1.2. Discriminant Analysis
4.2. Discussion and Theoretical Implication
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Reliability Statistics | |
---|---|
Cronbach’s Alpha | N of Items |
0.820 | Commitment to Ethics |
0.717 | Control Environment |
0.780 | Segregation of duties |
0.867 | Review |
0.830 | Information & communication |
0.882 | Effective Risk Management |
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
---|---|---|---|---|---|---|
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 1.804 | 36.088 | 36.088 | 1.804 | 36.088 | 36.088 |
2 | 1.427 | 28.543 | 64.631 | 1.427 | 28.543 | 64.631 |
3 | 1.004 | 20.078 | 84.709 | 1.004 | 20.078 | 84.709 |
4 | 0.602 | 12.037 | 96.745 | |||
5 | 0.163 | 3.255 | 100.000 |
Cox and Snell | 0.940 |
Nagelkerke | 0.906 |
McFadden | 0.916 |
Model | −2 Log Likelihood | Chi-Square | Df | Sig. |
---|---|---|---|---|
Null Hypothesis | 0.000 | |||
General | 0.000b | 0.000 | 1472 | 1.000 |
Number of Variables | Lambda | df1 | df2 | df3 | Exact F | Approximate F | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Statistic | df1 | df2 | Sig. | Statistic | df1 | df2 | Sig. | |||||
1 | 0.331 | 1 | 17 | 281 | 33.410 | 17 | 281.000 | 0.000 | 0.000 | |||
2 | 0.169 | 2 | 17 | 281 | 23.586 | 34 | 560.000 | 0.000 | 0.000 | |||
3 | 0.135 | 3 | 17 | 281 | 0.000 | 15.647 | 51 | 831.433 | 0.000 |
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Kong, Y.; Lartey, P.Y.; Bah, F.B.M.; Biswas, N.B. The Value of Public Sector Risk Management: An Empirical Assessment of Ghana. Adm. Sci. 2018, 8, 40. https://doi.org/10.3390/admsci8030040
Kong Y, Lartey PY, Bah FBM, Biswas NB. The Value of Public Sector Risk Management: An Empirical Assessment of Ghana. Administrative Sciences. 2018; 8(3):40. https://doi.org/10.3390/admsci8030040
Chicago/Turabian StyleKong, Yusheng, Peter Yao Lartey, Fatoumata Binta Maci Bah, and Nirmalya B. Biswas. 2018. "The Value of Public Sector Risk Management: An Empirical Assessment of Ghana" Administrative Sciences 8, no. 3: 40. https://doi.org/10.3390/admsci8030040
APA StyleKong, Y., Lartey, P. Y., Bah, F. B. M., & Biswas, N. B. (2018). The Value of Public Sector Risk Management: An Empirical Assessment of Ghana. Administrative Sciences, 8(3), 40. https://doi.org/10.3390/admsci8030040