Background of the Study
Fraud detection in the banking sector is a crucial aspect of ensuring the financial integrity of institutions and protecting customer assets. In the Nigerian banking industry, where fraud and financial mismanagement have been significant concerns, the role of managerial accounting in fraud detection is increasingly critical. Managerial accounting, which involves the preparation of internal reports for decision-making, budgeting, cost management, and performance evaluation, can play a pivotal role in identifying and preventing fraudulent activities (Oluwadare & Adeoye, 2024). The United Bank for Africa (UBA) Plc, one of Nigeria’s largest financial institutions, has implemented various accounting practices to detect and prevent fraud within its operations. The effectiveness of managerial accounting practices such as internal control systems, variance analysis, and financial monitoring in detecting fraudulent activities, however, remains under-researched. This study aims to evaluate how managerial accounting techniques at UBA Plc contribute to fraud detection and prevention.
Statement of the Problem
Despite the adoption of sophisticated financial systems in Nigerian banks, including UBA Plc, fraud remains a significant challenge. The ability of managerial accounting to detect early signs of fraud through effective internal controls, variance analysis, and monitoring mechanisms is not fully understood. This study seeks to explore the relationship between managerial accounting practices and fraud detection in UBA Plc, addressing the gap in research regarding how these practices contribute to the prevention of fraudulent activities.
Objectives of the Study
Research Questions
Research Hypotheses
Scope and Limitations of the Study
This study will focus on UBA Plc, examining its use of managerial accounting techniques in fraud detection. The study will collect data through interviews with key personnel, as well as through financial reports and internal audit records. Limitations may include difficulty accessing proprietary fraud detection data and the potential for biased responses from internal personnel.
Definitions of Terms
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Chapter One: Introduction
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