Employee treatment and corporate fraud

2020 ◽  
Vol 85 ◽  
pp. 325-334 ◽  
Author(s):  
Jian Zhang ◽  
Jialong Wang ◽  
Dongmin Kong
Author(s):  
Nguyen Tien Hung ◽  
Huynh Van Sau

The study was conducted to identify fraudulent financial statements at listed companies (DNNY) on the Ho Chi Minh City Stock Exchange (HOSE) through the Triangular Fraud Platform This is a test of VSA 240. At the same time, the conformity assessment of this model in the Vietnamese market. The results show that the model is based on two factors: the ratio of sales to total assets and return on assets; an Opportunity Factor (Education Level); and two factors Attitude (change of independent auditors and opinion of independent auditors). This model is capable of accurately forecasting more than 78% of surveyed sample businesses and nearly 72% forecasts for non-research firms.  Keywords Triangle fraud, financial fraud report, VSA 240 References Nguyễn Tiến Hùng & Võ Hồng Đức (2017), “Nhận diện gian lận báo cáo tài chính: Bằng chứng thực nghiệm tại các doanh nghiệp niêm yết ở Việt Nam”, Tạp chí Công Nghệ Ngân Hàng, số 132 (5), tr. 58-72.[2]. Hà Thị Thúy Vân (2016), “Thủ thuật gian lận trong lập báo cáo tài chính của các công ty niêm yết”, Tạp chí tài chính, kỳ 1, tháng 4/2016 (630). [3]. Cressey, D. R. (1953). Other people's money; a study of the social psychology of embezzlement. New York, NY, US: Free Press.[4]. Bộ Tài Chính Việt Nam, (2012). Chuẩn mực kiểm toán Việt Nam số 240 – Trách nhiệm của kiểm toán viên đối với gian lận trong kiểm toán báo cáo tài chính. [5]. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of financial economics, 3(4), 305-360.[6]. Võ Hồng Đức & Phan Bùi Gia Thủy (2014), Quản trị công ty: Lý thuyết và cơ chế kiểm soát, Ấn bản lần 1, Tp.HCM, Nxb Thanh Niên.[7]. Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman independence on corporate fraud. Managerial Finance 26 (11): 55-67.[9]. Skousen, C. J., Smith, K. R., & Wright, C. J. (2009). Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99. Available at SSRN 1295494.[10]. Lou, Y. I., & Wang, M. L. (2011). Fraud risk factor of the fraud triangle assessing the likelihood of fraudulent financial reporting. Journal of Business and Economics Research (JBER), 7(2).[11]. Perols, J. L., & Lougee, B. A. (2011). The relation between earnings management and financial statement fraud. Advances in Accounting, 27(1), 39-53.[12]. Trần Thị Giang Tân, Nguyễn Trí Tri, Đinh Ngọc Tú, Hoàng Trọng Hiệp và Nguyễn Đinh Hoàng Uyên (2014), “Đánh giá rủi ro gian lận báo cáo tài chính của các công ty niêm yết tại Việt Nam”, Tạp chí Phát triển kinh tế, số 26 (1) tr.74-94.[13]. Kirkos, E., Spathis, C., & Manolopoulos, Y. (2007). Data mining techniques for the detection of fraudulent financial statements. Expert Systems with Applications, 32(4), 995-1003.[14]. Amara, I., Amar, A. B., & Jarboui, A. (2013). Detection of Fraud in Financial Statements: French Companies as a Case Study. International Journal of Academic Research in Accounting, Finance and Management Sciences, 3(3), 40-51.[15]. Beasley, M. S. (1996). An empirical analysis of the relation between the board of director composition and financial statement fraud. Accounting Review, 443-465.[16]. Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24-36.[17]. Persons, O. S. (1995). Using financial statement data to identify factors associated with fraudulent financial reporting. Journal of Applied Business Research (JABR), 11(3), 38-46.[18]. Summers, S. L., & Sweeney, J. T. (1998). Fraudulently misstated financial statements and insider trading: An empirical analysis. Accounting Review, 131-146.[19]. 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.[20]. Loebbecke, J. K., Eining, M. M., & Willingham, J. J. (1989). Auditors experience with material irregularities – Frequency, nature, and detectability. Auditing – A journal of practice and Theory, 9(1), 1-28. [21]. Abbott, L. J., Park, Y., & Parker, S. (2000). The effects of audit committee activity and independence on corporate fraud. Managerial Finance, 26(11), 55-68.[22]. Farber, D. B. (2005). Restoring trust after fraud: Does corporate governance matter?. The Accounting Review, 80(2), 539-561.[23]. Stice, J. D. (1991). Using financial and market information to identify pre-engagement factors associated with lawsuits against auditors. Accounting Review, 516-533.[24]. Beasley, M. S., Carcello, J. V., & Hermanson, D. R. (1999). COSO's new fraud study: What it means for CPAs. Journal of Accountancy, 187(5), 12.[25]. Neter, J., Wasserman, W., & Kutner, M. H. (1990). Applied statistical models.Richard D. Irwin, Inc., Burr Ridge, IL.[26]. Gujarati, D. N. (2009). Basic econometrics. Tata McGraw-Hill Education.[27]. McFadden, D. (1974). Conditional Logit Analysis of Qualita-tive Choice Behavior," in Frontiers in Econometrics, P. Zarenm-bka, ed. New York: Academic Press, 105-42.(1989). A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Econometrica, 54(3), 1027-1058.[28]. DA Cohen, ADey, TZ Lys. (2008), “Accrual-Based Earnings Management in the Pre-and Post-Sarbanes-Oxley Periods”. The accounting review.


Author(s):  
Deepa Mangala ◽  
Pooja Kumari

Fraud has become a worldwide phenomenon and prime issue of concern. It dwells in all countries and affects all types of organizations irrespective of their size, profitability or industry. The primary objective of this paper is to provide an in-depth understanding of literature related to corporate fraud in order to understand why fraud occurs and how to combat it. Research studies published during the period commencing from the year 1984 to 2014 have been reviewed. The study aims to provide an in-depth discussion on significant red flags that may exist before fraud occurrence. It, also, provides a comprehensive view about fraud detection and prevention methods. Findings reveal that red flag is an important mechanism to prevent fraud. Application of single fraud detection technique will not curb the fraud effectively. Also, the top executives were found to be responsible for implementing anti-fraud policies and techniques within business organization. Further, the present study tries to discern the research gap in existing literature and explore the area of future research.


2021 ◽  
pp. 102067
Author(s):  
Li Wang ◽  
Yunhao Dai ◽  
Dongmin Kong

2021 ◽  
pp. 0148558X2098738
Author(s):  
Jongmoo Jay Choi ◽  
Yuanzhi Li ◽  
Oded Shenkar ◽  
Jian Zhang

This article examines whether internal governance in the form of managerial dissent between the CEO and subordinate executives reduces fraud likelihood. We model fraud as a rational decision in a cost–benefit framework and a collective activity by all executives. The model predicts a negative relation between dissent and fraud occurrence. We use three measures for higher dissent: a larger fraction of subordinates having joined the firm prior to the CEO, a lower CEO pay slice, and a smaller difference in pay performance sensitivity between the two; and find supporting evidence. We address endogeneity concerns by including firm-fixed effects, constructing a propensity score–matched sample, and conducting instrument variable analysis. We also find that fraud duration is negatively related to dissent.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shefali Saluja ◽  
Arun Aggarwal ◽  
Amit Mittal

Purpose The fraud landscape talks about the existence of fraudulent activities and can be assessed with the help of fraud literature. Taking this into consideration, this paper qualitatively revisits the famous fraud triangle theory developed by Donald R. Cressey (1950) which is the most traditional theory to detect a fraud. This paper aims to discuss various fraud models that have been extensions to fraud triangle theory and reviews the factors that drive a corporate fraud. This study is divided into two phases. The first phases discuss the various theories which have been developed to detect and prevent corporate frauds in organisations, and in the second phase the authors recognize “integrity” as a new extension to the basic fraud theory. The integrity model has been introduced as “fraud square” contributing to the development of fraud theory. Integrity plays a very important role in detecting corporate frauds, and this paper will act as a theoretical benchmark for future references. The implication of this study would help future researchers, academicians and practitioners to understand the fourth element of the fraud theory and would help improve the professional standards of organisations and regulators. Design/methodology/approach This paper revisits the literature in detail and reviews the most acknowledged models to explain “why people commit frauds” – the fraud triangle, fraud scale, the fraud diamond, the ABC model, the MICE model and the SCORE model. The authors contend that the traditional models need to be modernized to acclimate to the current developments in the rapidly increasing fraud incidents, both in occurrence and seriousness. Additionally, this paper builds on theoretical background to generate new model so as to improve the understanding behind the major factors which lead to commitment of frauds. Findings The authors identify a major element – integrity – in the research. As per ACFE 2020, “There are more than 3.3 billion people in the global workforce, half of them takes illegal use of gains from the organisation and some are discipled with integrity who does not cause any harm to the organisation.” To prevent fraud, integrity plays a very important role in organisations (Bakri et al., 2017). It has been found that individuals with less integrity are basically specified to a greater level of mismanagement. The organisations that have worked with integrity will improve performance at work and will always promote the best employees to work with less supervision. Originality/value This paper develops the integrity model to contribute to the development of fraud theory by identifying the key factors that play a major role in whether fraud will actually occur and acting as a theoretical benchmark for all future reference.


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