FINANCIAL FRAUD RISK MANAGEMENT IN DAIRY COMPANIES IN SERBIA

Authors

DOI:

https://doi.org/10.59267/ekoPolj2601233R

Keywords:

financial fraud, risk management, dairy companies, Serbia

Abstract

This paper examines the management of fraud risk indairy companies. The research was conducted on a randomsample of 110 respondents employed in companiesoperating within the dairy industry in the Republic ofSerbia, who hold key managerial positions (generalmanager or chief financial officer) or perform roles suchas internal auditor, risk controller, head of accounting,or similar positions. The Partial Least Squares StructuralEquation Modelling (PLS-SEM) method was appliedin the analysis. The findings indicate that awareness ofoperational fraud becomes a protective factor only whenit leads to the concrete improvement of control andpreventive mechanisms. The results contribute to a betterunderstanding of the necessity to strengthen managerialcapacities and the regulatory framework to enhancefinancial transparency and protect the integrity of the dairysector in Serbia.

Downloads

Download data is not yet available.

References

Agencija za privredne registre [in English: Business Registers Agency]. Retrieved from https://www.apr.gov.rs (January 10, 2025)

Cambaza, E. M. (2024). The Parmalat Scandal: An Analysis of Financial Deception and Its Implications for Global Business. REVES - Revista Relações Sociais, 7(1), doi:10.18540/revesvl7iss1pp18165

Conforte, D., Garnevska, E., Kilgour, M., Locke, S., & Scrimgeour, F. (2008). Key elements of success and failure in the NZ dairy industry: Lincoln University. Agribusiness and Economics Research Unit, 1-72.

Field, A. P. (2000). Discovering Statistics Using SPSS for Windows: Advanced Techniques for the Beginner, Sage Publications.

Fraud Risk Management Guide (2023).The Committee of Sponsoring Organizations of the Treadway Commission (COSO), Research Commissioned by the Committee of Sponsoring Organizations of the Treadway Commission (COSO) and CoPublished by the ACFE.

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modelling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.

Handford, C. E., Campbell, K., & Elliott, C. T. (2016). Impacts of milk fraud on food safety and nutrition with special emphasis on developing countries. Comprehensive Reviews in Food Science and Food Safety, 15(1), 130-142.

Henseler, J., Ringle, C. M., Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the academy of marketing science, 43(1), 115-135, doi: 10.1007/s11747-014-0403-8

Hu, L., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modelling: A Multidisciplinary Journal, 6(1), 1-55, DOI: https://doi.org/10.61173/gevgnt12

Janković, B., Knežević, S., & Milojević, S. (2023). Uloga računovodstvenog forenzičara u krivičnom postupku,Revizor - Časopis za upravljanje organizacijama, finansije i reviziju, 26(101), 1–9. https://doi.org/10.56362/Rev23101001J

Kabir Usman, A. (2013). Critical Success Factors for Preventing E-banking Fraud. Journal of Internet Banking and Commerce, 18(2), 1–16.

Knežević, S., Milojević, S., & Grivec, M. (2023). Računovođe i etička pitanja: trendovi i problemi. Revizor - Časopis za upravljanje organizacijama, finansije i reviziju, 26(102-103), 9–24. https://doi.org/10.56362/Rev23102009K

Kovjanić, M., Vukadinović, P., Knežević, S., Obradović, T., Mitrović, A., Grgur, A., Milašinović, M. (2023). A FAHP and VIKOR method for evaluation of the financial performance of agriculture companies listed on the Belgrade Stock Exchange. Economic of Agriculture, 70(1), 185–199. https://doi.org/10.59267/ekoPolj2301185K

Milk and milk product statistics, Eurostat, 2024, https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Milk_and_milk_product_statistics, (January 11, 2025)

Milk products, Meta Data, 2024, Statistički zavod Republike Srbije, [in English: Statistical Office of the Republic of Serbia (SORS)], https://data.stat.gov.rs/Metadata/13_Poljoprivreda/Html/130202010404_ESMS_G0_2024_3.html?utm_source=chatgpt.com (January 11, 2025)

Mitrović, A., Knežević, S., & Veličković, M. (2015). Ratio analysis specifics of the family dairies’financial statements. Ekonomika poljoprivede, 62(4), 1061-1078.

Shi, X. (2025). Can the short-selling mechanism curb corporate financial fraud - taking Muddy Waters’ short selling Huishan Dairy as an example. Finance & Economics,11, 1-5.

Sipayung, E. S. N., Yanti, H. B., & Setya, A. B. (2022, December). Impact of AntiFraud Awareness, Fraud Detection Procedures, and Technology to Fraud Detection Skill. In the3rd Borobudur International Symposium on Humanities and Social Science 2021 (BIS-HSS 2021) (pp. 783-787), Atlantis Press.

Sorensen, D. P., & Miller, S. E. (2017). Financial accounting scandals and the reform of corporate governance in the United States and in Italy. Corporate Governance: The International Journal of Business in Society, 17(1), 77-88. DOI: https://doi.org/10.61173/gevgnt12

Špiler, M., Knežević, S., Milojević, S., Slavković, M., Mitrović, A., & Šebek, V. (2024). Does the Internal Control System Play a Strong Safeguarding Role Against Fraud in Local Communities?. Lex Localis: Journal of Local SelfGovernment, 22(3), 188-208.

Tomić, V., Milić, D., & Janković, D. (2020). Economic aspects of milk production and traditional dairy products on agricultural farms in the Republic of Serbia. Economic of Agriculture, 67(3), 881–893. https://doi.org/10.5937/ekoPolj2003881T

Downloads

Published

2026-03-25

How to Cite

Resimić, M. ., Knežević, S., & Milojević, S. . (2026). FINANCIAL FRAUD RISK MANAGEMENT IN DAIRY COMPANIES IN SERBIA. Economic of Agriculture, 73(1), 233–248. https://doi.org/10.59267/ekoPolj2601233R

Issue

Section

Original scientific papers

Most read articles by the same author(s)