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2021, vol. 14, iss. 2, pp. 17-37
Detection of fraud in financial reporting of small and medium entities in the field of manufacturing industry
University of Novi Sad, Faculty of Economy, Subotica

emailkuschter@yahoo.com
Abstract
The importance of forensic accounting has been growing in recent years, especially when it comes to small and medium enterprises (SMEs). These entities do not have sufficiently developed accounting functions, they do not invest enough in staff who are not consequently motivated to present certain items of financial statements in a precise manner and in accordance with accounting standards. This results in reporting errors. The other side of the coin are the manipulations that happen with the intention and goal of presenting better business than the real situation to banks and other stakeholders. In this research paper, Beneish's M-Score model with five variables (M5) was applied as a method of forensic accounting, in order to detect manipulations in SMEs from sector C-Manufacturing in Serbia. The sample includes 73 companies, and only for 3 of them the M (5) Score exceeded the reference value and indicated a high risk of manipulation. The situation is different when looking at model variables individually; however, the results of the Mann-Whitney test indicate that there is no statistically significant difference in the level of liquidity and profitability of a firm depending on whether an entity manipulated from the individual model variables point of view or not.
References
Alfian, F., Triani, A.N. (2019) Fraudulent Financial Reporting Detection Using Beneish M-Score Model In Public Companies. Asia Pacific Fraud Journal, 4(1): 27-42
Beneish, M.D. (1999) The Detection of Earnings Manipulation. Financial Analysts Journal, 55(5): 24-36
Corsi, C., Berardino, D. D., Cimbrini, D. T. (2015) Beneish M-Score and detection of earnings management in Italian SMEs. Ratio mathematica, 28: 65-83
Dakić, S., Mijić, K. (2020) Regression analysis of the impact of internal factors on return on assets: A case of meat processing enterprises in Serbia. Strategic Management, vol. 25, br. 1, str. 29-34
Dimitrijević, D., Danilović, M. (2017) Otkrivanje prevara u kompanijama u Republici Srbiji primenom Beneish-ovog modela. Anali Ekonomskog fakulteta u Subotici, br. 37, str. 311-325
Dimitrijević, D., Obradović, V., Milutinović, S. (2018) Indicators of fraud in financial reporting in the Republic of Serbia. Teme, vol. 42, br. 4, str. 1319-1338
Field, A. (2009) Discovering Statistics using SPSS. London: SAGE Publications Ltd
Fitri, F., Syukur, M., Justisa, G. (2019) Do The Fraud Triangle Components Motivate Fraud In Indonesia?. Australasian Accounting, Business and Finance Journal, 13(4): 63-72
Holda, A. (2020) Using the Beneish M-score model: Evidence from non-financial companies listed on the Warsaw Stock Exchange. Investment Management and Financial Innovations, 17(4): 389-401
Klikovac, A. (2009) Financijsko izveštavanje u EU. Zagreb: Mate
Mann, H.B., Whitney, D.R. (1947) On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1): 50-60
Nwoye, U.J., Okoye, E.I., Oraka, A.O. (2013) Beneish Model as Effective Complement to the Application of SAS No. 99 in the Conduct of Audit in Nigeria. Academy of Business & Scientific Research. Management and Administrative Sciences Review, 2(6): 640-655
Ožegović, L., Pavlović, N. (2012) Menadžment malih i srednjih preduzeća nosilac razvoja privrede. Škola biznisa, br. 1, str. 74-84
Roxas, M.L. (2011) Financial Statement Fraud Detection Using Ratio and Digital Analysis. Journal of Leadership, Accountability and Ethics, 8(4): 56-66
Tarjo, I., Herawati, N. (2015) Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud. Procedia-Social and Behavioral Sciences, 211: 924-930
 

About

article language: English
document type: Review Paper
DOI: 10.5937/etp2102017K
received: 16/06/2021
revised: 24/06/2021
accepted: 26/06/2021
published in SCIndeks: 30/07/2021
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