Results 21 to 30 of about 22,315 (263)
JMIR Formative ResearchBackgroundWeb-based surveys increase access to study participation and improve opportunities to reach diverse populations. However, web-based surveys are vulnerable to data quality threats, including fraudulent entries from ...
Stephen Bonett +7 more
doaj +1 more source
A Systematic Literature Review of Fraud Detection Metrics in Business Processes
IEEE Access, 2020 Fraud is a primary source of organization losses, amounting to up to 5% of yearly revenues. Process-based fraud (PBF) is fraud involving a deviation from the standard operating procedure (SOP) of business processes.
Badr Omair, Ahmad Alturki
doaj +1 more source
The Use of Big Data Analytics in Detecting Academic Fraud [PDF]
, 2022 This study aims to find out the effect of using big data analytics on the detection of academic fraud so that it can provide improvements and create significant changes, especially in reducing the level of academic fraud among students.
Jannah, Firdatul +3 more
core +1 more source
Detecting Fraud in Financial Statements Through the Fraud Triangle Model: The Case of Indonesia [PDF]
, 2023 Referring to ACFE Global’s in the year 2016 until 2018 RTTN, fraudulent financial statement detection is a typical frequency occurrence and gets a large median loss.
Mappadang, Agoestina
core +1 more source
Credit card fraud and detection techniques: a review [PDF]
, 2009 Fraud is one of the major ethical issues in the credit card industry. The main aims are, firstly, to identify the different types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection.
Abdou, Hussein +8 more
core
Machine Learning Algorithms in Fraud Detection: Case Study on Retail Consumer Financing Company [PDF]
, 2021 This study aims to implement a machine learning algorithm in detecting fraud based on historical data set in a retail consumer financing company. The outcome of machine learning is used as samples for the fraud detection team.
Ramadhan, Dona +2 more
core +1 more source
Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade
Agribusiness, EarlyView.ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley +1 more source
A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +1 more source
How the detection of insurance fraud succeeds and fails. [PDF]
, 2006 Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focused upon identifying characteristics of fraudulent claims ...
Ball, L.J., Morley, N.J., Ormerod, T.C.
core
Traceability of Agri‐Food Products: The Key to Conscious Trade
Agribusiness, EarlyView.ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo +5 more
wiley +1 more source