Results 41 to 50 of about 5,629 (259)
Predictability of financial statements fraud-risk using Benford’s Law
The main objective of this research is to investigate the Predictability of Financial Statements Fraud-Risk Using Benford’s Law on the Tehran Stock Exchange.
Mehdi Rad +3 more
doaj +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
Abstract Historically, a university education has been seen primarily as a route for the middle classes to achieve professional qualifications while structural barriers have served to restrict entry to individuals from particular demographics. First‐generation students (FGS), often with low socio‐economic backgrounds, face multiple barriers to Higher ...
Helen Williams, Ellen‐Alyssa Gambles
wiley +1 more source
A Review of Artificial Intelligence for Financial Fraud Detection
Financial fraud has expanded rapidly with the growth of the digital economy, evolving from conventional transactional misconduct to more complex and data-intensive forms. Traditional rule-based detection methods are increasingly inadequate for addressing
Haiquan Yang +2 more
doaj +1 more source
A Visualization Approach for Frauds Detection in Financial Market [PDF]
The traditional solutions to the stock market security are not sufficient in identifying attackers and further attack plans from the analysis of existing events.Therefore, it is difficult for analysts to prevent future unexpected events or frauds by only monitoring the realtime trading information.
Mao Lin Huang +2 more
openaire +1 more source
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino +2 more
wiley +1 more source
Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs
The relationships within a supply chain are crucial for analyzing business transactions and can reveal significant patterns in disclosed financial data. These relationships also aid in the assessment and detection of financial fraud.
Shanshan Zhu +6 more
doaj +1 more source
Detecting Fraud In Financial Data Sets
<p class="MsoBlockText" style="margin: 0in 0.5in 0pt 35.4pt; mso-pagination: none;"><span style="font-style: normal; color: black; mso-themecolor: text1; mso-bidi-font-style: italic;" lang="EN-GB"><span style="font-size: x-small;"><span style="font-family: Times New Roman;">An important neef of corporations for internal audits ...
openaire +5 more sources
ABSTRACT Given the growing pressure on companies to achieve high ESG performance while minimising ESG controversies, this study investigates how ESG performance and ESG controversies jointly affect firm financial performance (measured as ROA and ROE), considering the effect of the presence of women directors and of operating in controversial versus non‐
Alice Alosi, Emilia Filippi
wiley +1 more source
MORPHIC COMPUTING WITH MACHINE LEARNING FOR ENHANCED FRAUD DETECTION IN FINANCIAL APPLICATIONS [PDF]
As financial fraud becomes increasingly complex, traditional detection methods struggle to keep pace, resulting in substantial financial losses globally.
N.P. Ponnuviji, M. Vigilson Prem
doaj +1 more source

