Results 211 to 220 of about 6,037 (259)

The Determinants of Auditor Communication and Its Consequences for Audit Effort

open access: yesAccounting &Finance, EarlyView.
ABSTRACT Auditing standards and academic literature highlight the importance of effective communication between auditors and those charged with governance. However, empirical evidence on its determinants and consequences remains limited. To address this gap, we use data from Korea, where auditor–audit committee communication is publicly disclosed, and ...
Eun Hye Jo   +2 more
wiley   +1 more source

Practical guidance for mitigating fraud in online research: The Configure, Assess, Triage, Corroborate, and Hone (CATCH) framework. [PDF]

open access: yesDigit Health
Stemmer M   +6 more
europepmc   +1 more source

CoDetect: Financial Fraud Detection With Anomaly Feature Detection

open access: yesIEEE Access, 2018
Financial fraud, such as money laundering, is known to be a serious process of crime that makes illegitimately obtained funds go to terrorism or other criminal activity. This kind of illegal activities involve complex networks of trade and financial transactions, which makes it difficult to detect the fraud entities and discover the features of fraud ...
Libin Yang, Xiaoyan Cai, Dejun Mu
exaly   +5 more sources

Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review

open access: yesApplied Sciences (Switzerland), 2022
Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently become a widespread menace in companies and organizations. Conventional techniques such as manual verifications and inspections are imprecise, costly, and time ...
Abdulalem Ali   +2 more
exaly   +3 more sources

Financial Statement Fraud Detection with Fraud Triangle

International Journal of Emerging Trends in Social Sciences, 2022
The purpose of this study was to analyze elements in the fraud triangle to clarify the possibility of financial statement fraud in the consumer goods industry subsector. The population in this study is all manufacturing companies in the consumer goods industry sub-sector measured by the M-score model.
Meel Akbar, Basyiruddin Nur, Budi Andru
openaire   +1 more source

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