Results 61 to 70 of about 22,315 (263)

Digital Technologies for Transparent and Sustainable Supply Chain Management: A Resource Orchestration‐Based View in the Textile Industry

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley   +1 more source

An analytical assessment of credit card fraud detection techniques: Supervised, Unsupervised, and Reinforcement Learning

open access: yesВестник Дагестанского государственного технического университета: Технические науки
Objective. Bank card fraud is an increasingly serious problem for individuals, businesses and financial institutions. There is a need for effective fraud detection measures to protect consumers and businesses from financial losses. Method.
Abdourahman Djamal Djama
doaj   +1 more source

Detecting asset misappropriation: a framework for external auditors [PDF]

open access: yes, 2014
Fraud is a major concern for investors, regulators, and external auditors. Of particular concern is asset misappropriation because it was given less attention in prior audit literature as well as the audit practice though it is the most common type of ...
Kassem, Rasha
core   +1 more source

Complex Firms, Controversial Outcomes: Global Evidence on ESG Failures and Remedies

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT We examine whether business complexity increases firms' exposure to negative environmental, social, and governance (ESG) outcomes, specifically ESG controversies, using a global panel of firms from 37 countries over the period 2002–2021.
Abongeh A. Tunyi   +3 more
wiley   +1 more source

Detecting Financial Fraud and Anomalies in Corporate Transactions with Convolutional Neural Networks

open access: yesInternational Journal of Computational Intelligence Systems
Financial fraud in business environments has evolved in response to the growth of digital transactions, posing a more significant threat to data security and resulting in substantial economic losses. The primary issue with current fraud detection systems
Muqiao Cai
doaj   +1 more source

Finding Misstatement Accounts in Financial Statements Through Ontology Reasoning

open access: yesIEEE Access
Finding misstatement accounts in financial statements, is a key problem of fraud detection. Potential applications include external audit, internal controls, investment decision and securities market regulation. However, most existing intelligent methods
Liming Chen, Baoxin Xiu, Zhaoyun Ding
doaj   +1 more source

Elaborating the Motivations and Attitudes Driving Interest in Voluntary Biodiversity Credits

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Global biodiversity loss has prompted the search for new sources of conservation finance, such as voluntary biodiversity credits (VBCs). However, despite optimistic market projections, current uptake of VBCs is limited. Adopting an interpretive approach, we analyse 21 semistructured interviews with early market actors (buyers, sellers ...
Gamze Yakar‐Pritchard   +5 more
wiley   +1 more source

Fraud Detection and Forensic Accounting

open access: yes, 2012
A quick search for the meaning of fraud in the dictionary states that fraud is “deceit, impersonation with intent to deceive, criminal deception done with the intention of gaining an advantage.” The Institute of Turkish History explains the word fraud as
PAMUKÇU, AYŞE
core   +2 more sources

Financial Fraud Detection Using Value-at-Risk With Machine Learning in Skewed Data

open access: yesIEEE Access
The significant losses that banks and other financial organizations suffered due to new bank account (NBA) fraud are alarming as the number of online banking service users increases.
Abdullahi Ubale Usman   +5 more
doaj   +1 more source

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach [PDF]

open access: yes
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Jude Osamor   +5 more
core   +1 more source

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