CURRENT ASPECTS OF USING THE ECONOMIC SECURITY SYSTEM TO PROTECT AGAINST CORPORATE FRAUD

The article discusses the theoretical aspects of corporate fraud as a category of crimes against property. Countering corporate fraud is one of the key tasks of business. The tasks of the company's owners and management are presented in a structured form, which are solved when using the economic security system to protect against fraud. Organizational measures in the company's fraud protection system and control procedures requiring the identification of areas for detailed verification are recommended.

High-Speed Railway Opening and Corporate Fraud

The impact of high-speed railway (HSR) on corporate behavior has recently attracted both practical and theoretical interest. In this paper, based on a sample of A-share listed companies from 2007 to 2020 in China, we use a difference-in-difference model to explore the impact of HSR openings on corporate fraud and analyze its mechanism. We find that HSR introduction has several important implications. First, it reduces the tendency and frequency of corporate fraud. Second, HSR opening restrains corporate fraud by improving the external supervision level and reducing the financing constraints of the company. Third, the inhibitory effect of the HSR opening on corporate fraud is significant when the market competition is less intense, and the company’s internal control level is poor. Fourth, after distinguishing types of fraud, HSR opening can still significantly inhibit information disclosure fraud and manager fraud, but not operation fraud. These results indicate that HSR openings promote the flow of information and labor across regions, alleviating the information asymmetry of firms. Our findings are conducive to improving the governance environment of the listed companies, which provides new clues for discovering and restricting corporate fraud.

Audit committee diversity and corporate scandals: evidence from the UK

Purpose This paper aims to empirically analyse specific characteristics of an audit committee that could be associated with the likelihood of corporate fraud/scandal/sanctions. Design/methodology/approach The sample includes all firms that were investigated by the Financial Reporting Council through the audit enforcement procedure from 2014 to 2019, and two matched no-scandal firms. It uses logistic binary regression analysis to examine the hypotheses. Findings Results based on the logit regression suggest that audit member tenure and audit committee meeting frequency both have positive associations to the likelihood of corporate scandal. Complementing this result, the authors find negative but insignificant relationships amongst audit committee female chair, audit committee female members percentage, audit committee qualified accountants members, audit committee attendance, number of shares held by audit committee members, audit committee remuneration, board tenure and the likelihood of corporate scandal across the sample. Research limitations/implications The results should help regulatory policymakers make decisions, which could be crucial to future corporate governance. Additionally, these results should be useful to investors who use corporate governance as criteria for investment decisions. Originality/value The authors extend, as well as contribute to the growing literature on the audit committee, and therefore, wider corporate governance literature and provide originality in that it is the first, to the knowledge, to consider two characteristics (i.e. remuneration and gender) in a UK context of corporate scandal. Also, the results imply that the structure and diversity of the audit committee affect corporate fraud/scandal/sanctions.

Understanding the fraud theories and advancing with integrity model

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.

A Method for Visualizing Posterior Probit Model Uncertainty in the Early Prediction of Fraud for Sustainability Development

Corporate fraud is not only curtailed investors’ rights and privileges but also disrupts the overall market economy. For this reason, the formulation of a model that could help detect any unusual market fluctuations would be essential for investors. Thus, we propose an early warning system for predicting fraud associated with financial statements based on the Bayesian probit model while examining historical data from 1999 to 2017 with 327 businesses in Taiwan to create a visual method to aid in decision making. In this study, we utilize a parametric estimation via the Markov Chain Monte Carlo (MCMC). The result show that it can reduce over or under-confidence within the decision-making process when standard logistic regression is utilized. In addition, the Bayesian probit model in this study is found to offer more accurate calculations and not only represent the prediction value of the responses but also possible ranges of these responses via a simple plot.