Predictive Analysis in Economic Intelligence. Case Studies of SMEs in Nigeria

Inhaltsverzeichnis (Table of Contents)

• Chapter 1: Introduction
• 1.1 Background of the Study
• 1.2 Problem Statement
• 1.3 Research Questions
• 1.4 Objectives of the Study
• 1.5 Scope of the Study
• 1.6 Significance of the Study
• 1.7 Limitations of the Study
• 1.8 Definition of Terms
• Chapter 2: Literature Review
• 2.1 Electronic Fraud
• 2.2 E-payment Channels
• 2.3 Predictive Analysis
• 2.4 Logistic Regression
• Chapter 3: Research Methodology
• 3.1 Research Design
• 3.2 Data Collection Method
• 3.3 Data Analysis Method
• Chapter 4: Results and Discussion
• 4.1 Data Analysis
• 4.2 Model Development
• 4.3 Model Evaluation
• 4.4 Discussion of Findings
• Chapter 5: Conclusion and Recommendations
• 5.1 Conclusion
• 5.2 Recommendations

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This research aims to develop a framework for anticipating threats, implementing preventive measures, and calculating potential income gains from fraud prevention in the context of e-payment channels in Nigeria. The study utilizes logistic regression as a decision-making tool to detect fraud at the point of sale in e-commerce platforms.

• Electronic fraud and its impact on businesses
• E-payment channels and the prevalence of fraud
• Predictive analysis techniques for fraud detection
• The application of logistic regression for decision-making
• Framework development and evaluation for fraud prevention

Zusammenfassung der Kapitel (Chapter Summaries)

• Chapter 1: Introduction: This chapter introduces the research problem, highlighting the increasing prevalence of electronic fraud and its impact on e-commerce platforms in Nigeria. It outlines the research questions, objectives, scope, and significance of the study.
• Chapter 2: Literature Review: This chapter provides a comprehensive overview of electronic fraud, e-payment channels, predictive analysis techniques, and the use of logistic regression for fraud detection. It reviews existing literature and research related to the topic.
• Chapter 3: Research Methodology: This chapter details the research design, data collection methods, and data analysis techniques employed in the study. It explains the process of acquiring and analyzing data from the Central Bank of Nigeria.
• Chapter 4: Results and Discussion: This chapter presents the findings of the research, including the development and evaluation of the proposed framework for fraud detection and prevention. It discusses the results of data analysis, model development, and model evaluation.

Schlüsselwörter (Keywords)

The key focus areas of this research include decision-making, electronic fraud, e-payment, e-commerce, fraud detection, logistic regression, and predictive analysis. The study explores the application of these concepts to mitigate electronic fraud in the context of small and medium scale enterprises (SMEs) in Nigeria.