{"title":"使用 M-Score 和 F-Score 分析舞弊五角大楼对财务报表舞弊的影响","authors":"Dewi Masitah","doi":"10.21070/ijins.v25i4.1142","DOIUrl":null,"url":null,"abstract":"This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs. \nHighlights: \n \nPressure's Role: Pressure directly impacts financial fraud detection in SOEs. \nModel Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models. \nIneffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods. \n \nKeywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":"45 15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score\",\"authors\":\"Dewi Masitah\",\"doi\":\"10.21070/ijins.v25i4.1142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs. \\nHighlights: \\n \\nPressure's Role: Pressure directly impacts financial fraud detection in SOEs. \\nModel Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models. \\nIneffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods. \\n \\nKeywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs\",\"PeriodicalId\":431998,\"journal\":{\"name\":\"Indonesian Journal of Innovation Studies\",\"volume\":\"45 15\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indonesian Journal of Innovation Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21070/ijins.v25i4.1142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Innovation Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21070/ijins.v25i4.1142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score
This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs.
Highlights:
Pressure's Role: Pressure directly impacts financial fraud detection in SOEs.
Model Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models.
Ineffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods.
Keywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs