The Role of Big Data Analytics in Moderating the Relationship Between Forensic Accounting and Financial Reporting Fraud

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Date

2024

Authors

Mohamed, Mohamed Ehab
Abdelnabi, Omar Abdelnabi

Journal Title

Journal ISSN

Volume Title

Type

Other

Publisher

October University for Modern Sciences and Arts

Series Info

Faculty Of Management Graduation Project 2023- 2024;

Doi

Scientific Journal Rankings

Abstract

Abstract The purpose of the study is to examine the role of big data analytics in moderating the relation between forensic accounting and financial reporting fraud. This study conducted a survey with total respondents of 154 accountant and auditor in Egypt. In order to test the research hypotheses, descriptive analysis, correlation analysis, reliability test, and validity test are used. The results indicated that companies that apply forensic accounting have higher rates of financial reporting fraud detection and have a more reliable financial statements. Also the results indicated that when big data is placed as a moderating variable in the relation, it had negative significant weak effect on financial reporting fraud

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Keywords

Forensic accounting, Financial Reporting Fraud, Big Data Analytics, جامعة أكتوبر للعلوم الحديثة و الأداب, MSA university, October university for modern sciences and arts

Citation

Faculty Of Management Graduation Project 2023- 2024