An Empirical Examination of Fraud in the Nigerian Banking Industry
Content Structure of An Empirical Examination of Fraud in the Nigerian Banking Industry
The abstract contains the research problem, the objectives, methodology, results, and recommendations
- Chapter one of this thesis or project materials contains the background to the study, the research problem, the research questions, research objectives, research hypotheses, significance of the study, the scope of the study, organization of the study, and the operational definition of terms.
- Chapter two contains relevant literature on the issue under investigation. The chapter is divided into five parts which are the conceptual review, theoretical review, empirical review, conceptual framework, and gaps in research
- Chapter three contains the research design, study area, population, sample size and sampling technique, validity, reliability, source of data, operationalization of variables, research models, and data analysis method
- Chapter four contains the data analysis and the discussion of the findings
- Chapter five contains the summary of findings, conclusions, recommendations, contributions to knowledge, and recommendations for further studies.
- References: The references are in APA
Abstract Of An Empirical Examination of Fraud in the Nigerian Banking Industry
Fraud in the Nigerian banking institution in seen by people as an enemy, moreover on their own assets even when they themselves are cleaver fraudsters or dupes on their people. It exists in different sectors of our nations economy’s education, Agriculture , Mining, Production Banking.
The researcher has systematically expository and analytically presented the empirical examination of fraud in the Nigerian Banking industry taking into consideration symptoms that necessitated on it.
It discuss on the concepts, sources, forms and causes, detection, presentation, effects, legal process and how it can be evaluated.
The researcher also examine at various levels like bribery, computer frauds, professional frauds.
The researcher also uses both primary and secondary data.