Hexagon

Tarmizi Achmad, I. Ghozali, Imang Dapit Pamungkas

This study aims to detect fraudulent financial reporting using hexagon fraud analysis, including seven factors: financial stability, external pressures, ineffective monitoring, auditor changes, change in director, arrogance, and collusion. The subject of this research is a public company consolidated audit report of state-owned enterprises. The existence of conflicting results, the phenomenon of fraudulent financial reporting, and limited research using the hexagon of fraud theory prompted this research to examine the factors that influence fraudulent financial reporting. The sample was selected using a sampling technique, with the criteria of state-owned enterprises listed on the Indonesia Stock Exchange in 2016–2020. The method used is quantitative, and the analytical method used is logistic regression analysis. The sampling technique used was purposeful sampling, so the number of samples was 125. The results of this study indicate that financial stability and external pressures have a positive effect on fraudulent financial reporting. However, ineffective monitoring, auditor changes, change in director, arrogance, and collusion do not affect fraudulent financial reporting.

E. Hammer, Mackinley FitzPatrick, J. Ur

Abstract Over the past 25 years, CORONA satellite imagery has become an integral part of archaeological research, especially for arid, sparsely vegetated regions such as the Middle East. Since 2020, a new archive of satellite imagery gathered by the US spy satellite programme that succeeded CORONA—HEXAGON—has become widely available for download via the United States Geological Survey. This photographic archive has enormous potential for archaeological research. Here, the authors seek to lower the barriers to accessing and using this imagery by detailing the background, technical specifications and history of the HEXAGON archive. Four case studies illustrate the benefits and limitations of HEXAGON imagery for archaeological and historical research in the Middle East and beyond.

A. Bader, Y. A. Abu Hajar, Sulaiman Weshah, B. Almasri

This study intends to identify the motives that lead to increasing or fighting the fraud risk in the Financial Statements (FSs) of industrial companies whose shares are traded in regulated and unregulated markets at the Amman Stock Exchange (ASE) based on the Hexagon theory, which divides the motives for fraud into six factors. The study relied on secondary data to collect and measure the study variables by extracting them from the annual reports that were published by those companies on the website of the ASE during the period of 2012–2017. The collected data were analyzed using the logistic regression model on the SPSS program. The results confirmed that the return on assets (ROA), percentage of independent members in audit committees, and tone-related party transactions had a statistically significant relationship with predicted fraudulent FSs, where these three variables belong to pressure, opportunity, and collusion fraud motives, respectively. Thus, it is worth mentioning that this study is distinguished from previous studies that examined the issue of fraud in Jordanian companies by detecting the motives of fraud according to the Fraud Hexagon theory. Moreover, some of the fraud motives were measured using new variables such as a change in inventory, the age of auditing committee’s members, and tone-related party transactions.

D. Setyono, Eko Hariyanto, S. Wahyuni, Bima Cininttya Pratama

This research aims to examine the fraud hexagon theory in the detection of fraudulent financial reporting that occurs in a company. According to the hexagon fraud theory, fraud occurs due to 6 factors, namely pressure/stimulus, opportunity, capability, ego/arrogance, rationalization, and collusion. These 6 factors are proxied with 10 proxies, namely: financial stability, financial targets, external pressure, change in director, change in auditor, ineffective monitoring, industry nature, number of CEO photos, political connections, and collusion. The population in this research are companies listed in the LQ 45 index period I February-July 2017-2021. The sample in this study is 88 samples. The data analysis approach used is statistic descriptive, classic assumption test, and multiple regression analysis using SPSS 25. The results of this study reveal that the nature of industry and external pressures have a negative effect on the detection of financial statement fraud, and change in auditor positively effect on the detection of financial statements fraud. While the variables of financial stability, financial targets, political connections, change in directors, number of CEO photos, ineffective monitoring, and collusion have no effect in detecting financial statements fraud. This result can be used for companies management as their references about what makes fraudulent financial statements occurs, so they can make preventive action for their companies

Marijn Heule, Manfred Scheucher

Satisfiability solving has been used to tackle a range of long-standing open math problems in recent years. We add another success by solving a geometry problem that originated a century ago. In the 1930s, Esther Klein's exploration of unavoidable shapes in planar point sets in general position showed that every set of five points includes four points in convex position. For a long time, it was open if an empty hexagon, i.e., six points in convex position without a point inside, can be avoided. In 2006, Gerken and Nicol\'as independently proved that the answer is no. We establish the exact bound: Every 30-point set in the plane in general position contains an empty hexagon. Our key contributions include an effective, compact encoding and a search-space partitioning strategy enabling linear-time speedups even when using thousands of cores.