Optimization of the Role of Internal Auditors in Fraud Prevention: Local Culture as a Moderating Variable

This study investigates the effect of optimizing the role of internal auditors on fraud prevention by considering local culture as a moderating variable. This study aims to analyze the effect of optimizing the role of internal auditors on fraud prevention with local culture as a moderating variable...

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Bibliographic Details
Main Author: Usman Usman
Format: Article
Language:English
Published: Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung 2024-12-01
Series:Society
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Online Access:https://societyfisipubb.id/index.php/society/article/view/693
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Summary:This study investigates the effect of optimizing the role of internal auditors on fraud prevention by considering local culture as a moderating variable. This study aims to analyze the effect of optimizing the role of internal auditors on fraud prevention with local culture as a moderating variable. Sampling using purposive sampling, this study involved 87 auditors from the regional Inspectorate, with data collection through questionnaires analyzed using the PLS-SEM method and SmartPLS software version 4. The results of the study indicate that the role of internal auditors has a significant impact on fraud prevention, and the interaction between local culture and the role of internal audit has a significant influence on fraud prevention in local government. In general, the fraud prevention framework combines the dimensions of the role of internal auditors and local culture to create a system for preventing fraud and supporting the integrity and accountability of the organization. The analysis shows the R-Square value for the fraud prevention variable of 0.817, which indicates that the variables of the Role of Internal Audit and Local Culture have a significant influence on Fraud Prevention at 81.7%. These results indicate that the model has strong predictive power, and the rest has limitations in explaining 18.3% of the variance that can be explained by other variables that are not included in this research model.
ISSN:2338-6932
2597-4874