Determinants of the Development of Cyber-Crime Operating Within Digital Banking: The Case of Commercial Bank of Ethiopia

This study was initiated with the aim to analyze the determinants of the development of cyber-crime operating within digital banking at Commercial Bank of Ethiopia (CBE). A descriptive and explanatory survey design entertaining a mixed approach was adopted. Qualitative data was collected through administering a self-completion questionnaire distributed to 380 sample respondents. The study enjoyed a 92.1% response rate. The study focused on customers of commercial bank of Ethiopia as a target population. The convenient sampling technique was employed to include the bank's customers who were available during the study period when the researcher visited the head office. The data collected from questionnaires was analyzed using the statistical package for social science (SPSS) version 22, and the findings were interpreted based on the listed hypothesis, regression mode, descriptive and inferential statistics. The findings of the study indicated that technological advancement, lack of cyber security awareness and training, insider threats, regulatory and legal frame work and inadequate security measures are the factors that have significant effects on the development of cyber-crime at a 95% confidence level. The findings highlight the importance of investing in advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics, to strengthen the banks capabilities in detecting and mitigating risks in real time.