1. Anupam, M., and B. Ganga. 2017. Application of Forensic Tools to Detect Fraud: The case of Toshiba. Journal of forensic and Investigative 9(1): 692-710 2. Beneish, M. D. (1999). The Detection of Earnings Manipulation. Financial Analysts Journal, 55(5): 24-36 3. Bell, T., and j. Carcello. 2000. A Decision aid for assessing the Likelihood of fraudulent financial reporting. A journal of Practice & Theory, 9(1): 169-178. 4. Bani Ahmad. A., (2019). The Moderating role of Internal Control on the relationship between Accounting Information System and Detection of Fraud: The Case of the Jordanian Banks, International Journal of Academic Research in Economics and Management Sciences, 8(1): 27-42 5. Braun, v. and v. Clarke. 2006. Using thematic analysis in psychology, Qualitative Research in Psychology 3(2): 77-101. 6. Erwin, I., GH. Giyanti, H. Kartini, W. syamsuddin, M. Arifuddin. (2021). Determinants of Financial Statement Fraud: Research Fraud Diamond Theory (Empirical Study on Manufacturing Company listed on the Stock Exchange). Psychology and Education, 58(1), 302 -308. 7. Lin, C.-C., A.-A. Chiu, S.Y. Huang, and D.C. Yen. 2015. Detecting the financial statement fraud: The analysis of the differences between data mining techniques and expers’ judgments. Knowledge-Based Systems. Elsevier B.V. All rights reserved 89: 459-470. 8. Liodorova, J., I. Voronova, and R. Seider. 2021. Advanced Forensic Methods to Detect Fraud. Article in Criminalistics and Forensics. At https://doi.org/10.33994/kndise. 66(06). 48-59. 9. Olusola Luke, O. 2013. Application of Forensic Accounting: A Tool for Confidence in Auditors’ Reports. Department of Accountancy accountancy, School of Business Studies, The Federal Polytechnic, Ado-Ekiti, Ekitistate, Nigeria. Research Journal of Finance and Accouunting 4(17): 105-110. 10. Özcan, A. 2019. Analyzing the Impact of Forensic Accounting on the Detection of Financial Information Manipulation, Manas journal of Social Studies 8(2): 1744-1760. 11. Ross, B. 2010. What are the Requirements for Fraud? Lawyers.com.Retrieved from http://research.lawyers.com/blogs/archives/4184-what-are-the-requirements-for fraud.html. 12. Sabàu, A. I., and C. Mare, I. L. Safta. 2021. A Statistical Model of Fraud Risk in Financial satements. Case for Romania Companies. At https://doi.org/10.3390/risks9060116. 13. Spathis, C. T., (2002). Detecting False Financial Statements Using Published Data: Some Evidece from Greece. Managerial Auditing Journal, (17): 179-191. 14. Tarjo, D., and N. Herawati. (2015). Application of Beneish M-score Models and Data Mining to Detect Financial Fraud, Procedia-Social and Behavioral Sciences, (211): 924-930. 15. Yulistyawati, N.K.A., Suardikha, M.S., Sudana, P. (2019). The analysis of the factor that causes fraudulent financial reporting with fraud diamond. Journal Akuntansi dan Auditing Indonesia, 23(1), 1-10. 16. Zainudin, E. F., and H. A. Hashim. 2016. Detecting Fraudulent Financial Reporting using financial ratio. Journal of Financial Reporting and Accounting 14(2): 266-278.
|