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According to the Association of Certified Fraud Examiners, financial statement fraud represents the smallest amount of fraud cases but results in the greatest monetary loss. The researcher previously investigated the characteristics of financial statement fraud and determined the presence of 16 fraud indicators. The purpose of this study is to establish whether investors and other stakeholders can detect and identify financial statement fraud using these characteristics in an analysis of a company’s annual report.

This study analyses a financial statement fraud case, using the same techniques that were previously applied, including horizontal, vertical and ratio analysis. These are preferred because stakeholders have relatively easy access to them.

The findings show several fraud characteristics, with a few additional ones not previously found prevalent. Financial statement fraud thus tends to differ between cases. It is also easier to detect and identify fraud indicators ex post facto.

This study is a practical case showing that financial statement fraud can be detected and identified in the financial statements of companies that commit fraud.

The technical feasibility of using Benford's law to assist internal auditors in reviewing the integrity of high-volume data sets is analysed. This study explores whether Benford's distribution applies to the set of numbers represented by the quantity of records (size) that comprise the different tables that make up a state-owned enterprise's (SOE) enterprise resource planning (ERP) relational database. The use of Benford's law streamlines the search for possible abnormalities within the ERP system's data set, increasing the ability of the internal audit functions (IAFs) to detect anomalies within the database. In the SOEs of emerging economies, where groups compete for power and resources, internal auditors are better off employing analytical tests to discharge their duties without getting involved in power struggles.

Records of eight databases of an SOE in Argentina are used to analyse the number of records of each table in periods of three to 12 years. The case develops step-by-step Benford's law application to test each ERP module records using Chi-squared (χ²) and mean absolute deviation (MAD) goodness-of-fit tests.

Benford's law is an adequate tool for performing integrity tests of high-volume databases. A minimum of 350 tables within each database are required for the MAD test to be effective; this threshold is higher than the 67 reported by earlier researches. Robust results are obtained for the complete ERP system and for large modules; modules with less than 350 tables show low conformity with Benford's law.

This study is not about detecting fraud; it aims to help internal auditors red flag databases that will need further attention, making the most out of available limited resources in SOEs. The contribution is a simple, cheap and useful quantitative tool that can be employed by internal auditors in emerging economies to perform the first scan of the data contained in relational databases.

This paper provides a tool to test whether large amounts of data behave as expected, and if not, they can be pinpointed for future investigation. It offers tests and explanations on the tool's application so that internal auditors of SOEs in emerging economies can use it, particularly those that face divergent expectations from antagonist powerful interest groups.

This study demonstrates that even in the context of limited information technology tools available for internal auditors, there are simple and inexpensive tests to review the integrity of high-volume databases. It also extends the literature on high-volume database integrity tests and our knowledge of the IAF in Civil law countries, particularly emerging economies in Latin America.

In recent years, diversity and inclusion in higher education has become a topic of increased interest both nationally and internationally. Given the importance of this topic in today's world, it is surprising that the research is limited, especially with university students in the rural areas. This study examines on-campus students' perceptions of university diversity initiatives, and their value to the university environment.

Focus-group interviews with both undergraduate and graduate students from a public university in rural Michigan, USA, were conducted. Focus groups were used in this study because they are a particularly good method for generating discussion and stimulating ideas.

Overall, the participants identified several positive attitudes toward diversity and inclusion that included being accepting and respectful. However, it is significant that some participants are limited in their perceptions of culturally diverse backgrounds, which has resulted in some anxiety.

This study not only provides guidance to current institution administrators to create effective inclusive environments in their university. It can also be treated as a model for other rural universities, as building a successful inclusive environment in the future.

This study examines whether managers adopt corporate social responsibility (CSR) disclosures to suppress earnings management practices and whether corporate governance mechanisms could limit such practices.

A quantitative approach was followed, in which secondary data from listed firms from 2014 to 2019 were gathered. Descriptive statistics and inferential techniques were performed, which included correlation, ordered logistic regression and 2SLS panel regression analyses.

The findings indicate that firms use CSR disclosure to conceal managers' opportunistic behaviour via earnings management as an entrenchment strategy and that corporate governance mechanisms could significantly constrain such behaviour.

This study goes beyond the conventional agency theory by incorporating additional theoretical perspectives from stakeholder and legitimacy theories, resulting in a multi-theoretical perspective in conceptualizing the study.

The findings are expected to have significant policy implications, especially in limiting the opportunistic use of CSR disclosures and reducing earnings management practices to safeguard stakeholders' interests and ensure the sustainability of business entities.

The levels of CSR and board governance practices are captured using comprehensive indices. Moreover, earnings management was operationalized using both accrual-based and real earnings management proxies. Furthermore, while addressing an empirical dearth noted, the findings provide significant policy implications for limiting managers' opportunistic and unethical use of CSR disclosures with corporate governance mechanisms.

This paper investigates the relationship between risk management practices and potential fraudulent financial reporting in Malaysia by considering recent regulatory reforms of the Malaysian government on risk management practices.

The sample of this study was based on 257 firm-year observations during the 2012–2017 period. This study employed panel-least square regressions with period fixed effects.

This study found a significant association between risk management activities in the disclosure and potential fraudulent financial reporting. Nevertheless, this study found there is insignificant effect of the risk-management committee in reducing potential of fraudulent financial reporting.

This study is a pioneer research that relates firms’ risk management practices with potential fraudulent financial reporting measured by F-score. Thus, this study provides an insight to regulators on the extent of risk-management practices in deterring potential fraudulent financial reporting which can be used as an input for greater enforcement of risk-management regulations.