1. Adi Putra, G., & A. Dwirandra. (2019). The effect of auditor experience, type of personality and fraud auditing training on auditor’s ability in fraud detecting with professional skepticism as a mediation variable. International Research Journal of Management, IT and Social Sciences 23(2): 72-85. 2. Arumega, Z., A. Andreas & B. Zarefar. (2019). The Influence of Ethics, Experience and Competency toward the Quality of Auditing with Professional Auditor Scepticism as a ModeratingVariable. Business and Social Sciences 29: 828–832. 3. Blanco, B., & S. Dhole. (2017). Financial Statement Comparability, Readability and Accounting Fraud. AFAANZ Conference, Working Paper. 4. Bon Kim, J., L. Louise & Y. Yu. (2019). Financial Statement Comparability and Expected Crash Risk. Journal of Accounting and Economics 61(2-3): 294-312. 5. Brown, J.O., J. Hays & M.T. Stuebs. (2016). Modeling Accountant Whistle Blowing Intentions: Applying the Theory of Planned Behavand the Fraud Triangle. Accounting and the Public Interest 16(1): 28-56. 6. Chang, Y.T., H. Chen, R.K. Cheng & W. Chi. (2019). The impact of internal audit attributes on the effectiveness of internal control over operations and compliance. Journal of Contemporary Accounting & Economics 15(1): 1-19. 7. Choi, J.H., S.A. Choi, L. Myers & D. Ziebart. (2020). Financial Statement Comparability and the Informativeness of Stock Prices about Future Earnings. Contemporary Accounting Research, John Wiley & Sons 36(1): 389-417. 8. Dalnial, H., A. Kamaluddin, Z. Mohd Sanusi & Kh. Syafiza Hunton. (2014). Detecting Fraudulent Financial Reporting through Financial Statement Analysis. Journal of Advanced Management Science 2(1): 17-22. 9. Hung, Y.S., & Y.C. Cheng. (2018). The impact of information complexity on audit failures from corporate fraud: Individual auditor level analysis. Asia Pacific Management Review 23(2): 72-85. 10. Kang, M., J.W. Kim, H.Y. Lee & M.G. Lee. (2020). Financial statement comparability and audit Efficiency: evidence from South Korea. Journal of Applied Economics 48(4): 358-373 11. Kim, S., P. Kraft & S.G. Ryan. (2018). Financial statement comparability and credit risk. Review of Accounting Studies 18(3): 783–823. 12. Lin, Ch.Ch., A.A. Chiu, Sh.Y. Huang & D.C. Yen. (2015). Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments. Knowledge-Based Systems 89: 459-470. 13. Lisic, L., S. Silveri, Y. Song & K. Wang. (2020). Accounting fraud, auditing, and the role of government sanctions in China. Journal of Business Research 86: 1186-1195. 14. Pramana, A.C., G. Irianto & G. Nurkholis, (2016). The Influence of Professional Skepticism, Experience and Auditors Independence on the Ability To Detect Fraud. Imperial Journal of Interdisciplinary Research, 2(11): 1438-1447. 15. Purda, L., & D. Skillicorn. (2015). Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection. Contemporary Accounting Research 32(3): 1193-1223 16. Putra, G.S.A., & A.A.N.B. Dwirandra. (2019). The effect of auditor experience, type of personality and fraud auditing training on auditors ability in fraud detecting with professional skepticism as a mediation variable. International Research Journal of Management, IT and Social Sciences 6(2): 31-43. 17. Shawver, T.J., & T.A. Shawver. (2014). The Impact of Moral Reasoning on Whistleblowing Intentions. In Research on Professional Resposibility and Ethics in Accounting 18. Topor, D.I. (2017). The Auditor's Responsibility for Finding Errors and Fraud from Financial Situations: Case Study. International Journal of Academic Research in Accounting, Finance and Management Sciences 7(1): 342-352. 19. Ukhriyawati, C.F., T. Ratnawati & S. Riyadi. (2017). The Influence of Asset Structure, Capital Structure, Risk Management and Good Corporate Governance on Financial Performance and Value of the Firm through Earnings and Free Cash Flow as An Intervening Variable in Banking Companies Listed in Indonesia Stock Exchange. International Journal of Business and Management 12(8): 249-249. 20. Umar, H., & R. Purba. (2020). HU Model: Incorporation of Fraud Star in Detection of Corruption. International Journal of Economics and Management Studies 7(12): 1- 8.
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