Antecedents and consequences of staff related fraud in the Ghanaian banking industry

Purpose The purpose of this paper is to investigate the antecedents and consequences of employee fraud, focusing on the banking industry in Ghana. Design/methodology/approach A major bank was selected for the case study analysis. The researchers employed qualitative data analysis for the study. Content analysis of investigation reports and interviews of employees from different functional areas were used as the main data collection tools. Findings This study found that loans contracted by bank employees with huge repayment amounts put financial pressure on them to commit fraud. The study also found that inadequate controls in some areas of the bank can fuel the commission of fraud. In addition, aggrieved employees have highly chances of committing fraud. Huge punitive consequences were noted to exist for the employee who perpetrates the fraud and shareholders are also affected by the fraudulent behaviour of employees. Research limitations/implications Findings shown in the study confirm the hypotheses of the fraud triangle theory on the causes of fraud in spite of its criticisms. The findings are also consistent with extant studies on the antecedents and consequences of fraud. The use of one bank for the case study analysis as well as the three-year analysis period imposes a limitation on the study. Future studies can explore fraud using other different theoretical lenses. Gathering data from more than one bank and for a longer period of analysis may provide more accurate results. Practical implications This study provides some recommendations for fraud prevention in the banking industry in Ghana. The major one is the need for the central bank to collaborate with financial institutions to set up an effective credit worthiness system that will aid the monitoring of activities of the banks. Banks should also ensure that systems of controls are reviewed regularly to identify and deal with fraud. Originality/value This study is original, as it focuses on an industry that is highly susceptible to fraud because of issues of confidentiality with data and with the scanty literature on fraud.