Effect Of Forensic Accounting Techniques On Fraud Detection Of Federal Ministries, Departments And Agencies In Nigeria

Table of Content

Chapter One: Introduction

Introduction

• 1.1 Background to the Study
• 1.2 Statement of the Problem
• 1.3 Research Questions
• 1.4 Objectives of the Study
• 1.5 Statement of Hypotheses
• 1.6 Significance of the Study
• 1.7 Scope of the Study
• 1.8 Operational Definition of Terms and Acronyms

Chapter Two: Literature Review

Literature Review

• 2.1 Conceptual Review
• 2.1.1 Concept of Forensic Accounting Techniques
• 2.1.1.1 Data Mining
• 2.1.1.2 Data Analysis
• 2.1.1.3 Litigation Support
• 2.1.1.4 Computer-Assisted Audit Tools (CAATs)
• 2.1.2 Fraud Detection and Prevention
• 2.1.3 Conceptual Framework
• 2.2 Empirical Review
• 2.2.1 Data Mining and Fraud Detection
• 2.2.2 Data Analysis and Fraud Detection
• 2.2.3 Litigation Support and Fraud Detection
• 2.2.4 Computer-Assisted Audit Tools and Fraud Detection
• 2.3 Theoretical Framework
• 2.3.1 Agency Theory
• 2.3.2 Profession Theory
• 2.3.3 Fraud Pentagon Theory
• 2.3.4 Underpinning Theory of the Study
• 2.4 Summary of Literature Review and Gap Identification

Chapter Three: Research Methodology

Research Methodology

• 3.0 Methodology
• 3.1 Research Design
• 3.2 Research Philosophy
• 3.2.1 Ontology
• 3.2.2 Epistemology
• 3.2.3 Axiology
• 3.3 Population of the Study
• 3.3.1 Sample Size and Sampling Determination Technique
• 3.4 Method of Data Collection
• 3.4.1 Reliability of the Instrument
• 3.4.2 Validity of the Instrument
• 3.5 Techniques for Data Analysis and Model
• 3.5.1 Technique for Data Analysis
• 3.5.2 Model Specification
• 3.5.3 Variable Definitions and Measurements
• 3.6 Justification for Methods

Chapter Four: Data Presentation, Analysis and Discussion of Findings

Data Presentation, Analysis and Discussion of Findings

• 4.1 Demographic Characteristics of Respondents
• 4.2 Descriptive Statistics
• 4.2.1 Data Mining
• 4.2.2 Data Analysis
• 4.2.3 Litigation Support
• 4.2.4 Computer-Assisted Audit Tools
• 4.2.5 Fraud Detection in Federal MDAs
• 4.3 Correlation Analysis
• 4.4 Regression Analysis
• 4.4.1 Model Summary
• 4.4.2 Analysis of Variance (ANOVA)
• 4.4.3 Regression Coefficients
• 4.4.4 Test of Hypotheses
• 4.5 Summary and Discussion of Findings

Chapter Five: Summary, Conclusion and Recommendations

Summary, Conclusion and Recommendations

• 5.1 Summary
• 5.2 Conclusion
• 5.3 Recommendations
• 5.3.1 Recommendation 1 and Implementation Strategy
• 5.3.2 Recommendation 2 and Implementation Strategy
• 5.3.3 Recommendation 3 and Implementation Strategy
• 5.3.4 Recommendation 4 and Implementation Strategy
• 5.4 Limitations of the Study
• 5.5 Suggestions for Further Study

Chapter Six: Contributions to Knowledge

Contributions to Knowledge

• 6.1 Originality
• 6.2 Creativity
• 6.3 Innovation
• 6.4 Contribution to Theory
• 6.5 Product/Instrument Development
• References
• Appendices
• Appendix I: Research Questionnaire
• Appendix II: Population of Selected Federal MDAs
• Appendix III: Sample Size Distribution
• Appendix IV: Correlation Analysis Output
• Appendix V: Regression Analysis Output
• Appendix VI: Conceptual Framework
• Appendix VII: Letter of Introduction

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