The Beneish model as a fraud controlmeasure in Zimbabwean state-owned enterprises

Abstract

Research purpose: The research purpose of the study was to determine the effectiveness of the Beneish model as a fraud control measure for Zimbabwean state-owned enterprises (SOEs). Design/methodology/approach: This study adopted a triangulation research approach. Statistically tested, quantitative data from financial statements were validated with the qualitative data derived from Auditor General (AG) reports on Zimbabwean SOEs, and reported fraud issues from newspaper articles on Zimbabwean SOEs. Research findings: The findings revealed that the Beneish model is effective in detecting and preventing fraud, and can be used as an early indication of fraud in the financial statements of Zimbabwean SOEs. This can assist the AG, internal and external auditors, anti-corruption agencies, forensic accountants, and certified fraud examiners with early identification of possible fraud in the financial statements, and will reduce the fraud impact, since faster detection and prevention can potentially minimise financial losses. Policy implication: Fraud indicators (red flags) from the Beneish model can be used as an early indication of potential fraud in the financial statements of Zimbabwean SOEs. This helps the AG, external and internal auditors, anti-corruption agencies, forensic accountants, and certified fraud examiners to identify red flags in the financial statements, earlier. Curbing fraud losses can potentially improve the performance of Zimbabwean SOEs. Originality: Fraud control measures from the Beneish model’s red flag fraud indicators are expected to add value in curbing the occurrence of fraud in Zimbabwean SOEs.