Afriyie, S. O., Akomeah, M. O., Amoakohene, G., Ampimah, B. C., Ocloo, C. E., & Kyei, M. O. (2023). Forensic accounting: A novel paradigm and relevant knowledge in fraud detection and prevention. International Journal of Public Administration, 46(9), 615-624. https://doi.org/10.1080/01900692.2021.2009855.
De Giuli, M.E., Grechi, D., & Tanda, A. (2024). What do we know about ESG and risk? A systematic and bibliometric review. Corporate Social Responsibility and Environmental Management, 31(2), 1096-1108. https://doi.org/10.1002/csr.2624
Dechow, P.M., Sloan, R.G., & Sweeney, A.P. (1996). Causes and consequences of earnings manipulation: An analysis of firms subject to enforcement actions by the SEC. Contemporary accounting research, 13(1), 1-36.
Felix, U.O. (2022). Evidence collecting processes and fraud examination: the role of an expert forensic accountant. Asian Basic and Applied Research Journal, 6(4), 33-59.
Gray, G.L., & Debreceny, R.S. (2014). A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits. International Journal of Accounting Information Systems, 15(4), 357-380. https://doi.org/10.1016/j.accinf.2014.05.006
Hossain, M. Z. (2023). Emerging trends in forensic accounting: Data analytics, cyber forensic accounting, cryptocurrencies, and blockchain technology for fraud investigation and prevention. Cyber Forensic Accounting, Cryptocurrencies, and Blockchain Technology for Fraud Investigation and Prevention.https://dx.doi.org/10.2139/ssrn.4450488
Kaur, B., Sood, K., & Grima, S. (2023). A systematic review on forensic accounting and its contribution towards fraud detection and prevention. Journal of Financial Regulation and Compliance, 31(1), 60-95. https://doi.org/10.1108/JFRC-02-2022-0015.
Koh, A.N., Arokiasamy, L., & Suat, C.L.A. (2009). Forensic accounting: Public acceptance towards occurrence of fraud detection. International journal of business and management, 4(11), 145-149.
Lee, T.A., Ingram, R.W., & Howard, T.P. (1999). The difference between earnings and operating cash flow as an indicator of financial reporting fraud. Contemporary Accounting Research, 16(4), 749-786. https://doi.org/10.1111/j.1911-3846.1999.tb00603.x.
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., ... & Prisma-P Group. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic reviews, 4, 1-9. https://doi.org/10.1186/2046-4053-4-1.
Ozili, P. K. (2025). Forensic accounting research around the world. Journal of Financial Reporting and Accounting, 23(1), 128-153. https://doi.org/10.1108/JFRA-02-2023-0106
Radu, F., Giju, C., & Tabirca A.I. (2016). The place and role of information system in exercising the financial control. Available at SSRN 5140660. https://dx.doi.org/10.2139/ssrn.5140660.
Radu, V., Radu, F., Tabirca, A.I., Saplacan, S.I., & Lile, R. (2021). Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases. International Journal of Computers, Communications & Control, 16(1). https://doi.org/10.15837/ijccc.2021.1.4120.
Ravisankar, P., Ravi, V., Rao, G.R., & Bose, I. (2011). Detection of financial statement fraud and feature selection using data mining techniques. Decision support systems, 50(2), 491-500 https://doi.org/10.1016/j.dss.2010.11.006.
Reurink, A. (2019). Financial fraud: A literature review. Contemporary topics in finance: A collection of literature surveys, 79-115. https://doi.org/10.1002/9781119565178.ch4.
Tăbîrcă, A.I., Ivan, O.R., Radu, F., & Djaouahdou, R. (2019). Qualitative Research in WoS of the Link between Corporate Social Responsibility and Corporate Financial Performance. Valahian Journal of Economic Studies, 10(1). https://doi.org/10.2478/vjes-2019-0011.
Tebergaoui, N. N., Djaouahdou, R., Benhaoues, K., & Tăbîrcă, A.I. (2022). Exploring the Position of Modern Technologies in Activating the Remote Audit Approach in Light of the Corona Pandemic-a Big 4 Case Study. Valahian Journal of Economic Studies, 13(2), 1-18. https://doi.org/10.2478/vjes-2022-0011.
Tota, I., Aliaj, A., & Lamçja, J. (2016). The use of Benford’s law as a tool for detecting fraud in accounting data. Interdisplinary Journal of Research and Development, 3(1), 73-77.