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Machine Learning Model Stability for Sub-Regional Classification of Barossa Valley Shiraz Wine Using A-TEEM Spectroscopy. [PDF]
Wang H, Jeffery DW.
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Virtual Electronic Tongue Combining Electrochemical Impedance Spectroscopy and the Artificial Neural Network for Accurate Identification of Noncompliant Gasoline. [PDF]
Cola BP +3 more
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Non-Targeted Nuclear Magnetic Resonance Analysis for Food Authenticity: A Comparative Study on Tomato Samples. [PDF]
Musio B +9 more
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Enhanced prediction and optimization of thin metal film optical properties using optimized ensemble learning models. [PDF]
Thomas K +4 more
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Fraud diamond, Machiavellianism and fraud intention
International Journal of Ethics and Systems, 2019Purpose This study aims to test the causality of fraud diamond factors (pressure, rationalization, opportunity and capability) and Machiavellian personality on fraud intention. Design/methodology/approach This study used a 2 × 2 × 2 × 2 web-based laboratory experiment.
Intiyas Utami +3 more
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The Effect of Fraud Diamond Capability Measures on Fraud Occurrence
Journal of Forensic Accounting Research, 2023ABSTRACT An organization can lose up to 5 percent of its revenue to fraud (ACFE 2020) making the ability to effectively prevent and detect accounting fraud essential to many stakeholders. Auditors typically use the fraud triangle framework consisting of pressure, opportunity and rationalization to understand fraud risks factors.
Barbara Arel +2 more
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Studi Literatur: Relevansi Diamond Fraud Theory Dalam Menilai Perilaku Fraud
Profit: Jurnal Manajemen, Bisnis dan Akuntansi, 2023The aim of this research is to determine the relevance of diamond fraud theory in assessing fraudulent behavior. This research is a qualitative descriptive study using literature. The results of this research indicate that diamond fraud theory is not relevant in assessing fraudulent behavior.
null Michael Revelin Ervan Septian +1 more
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