Trade Transformation In The Digital Era: Agency Role, Opportunities And Challenges

F Yufriadi, F Syahriani, AA Afifi - AL-IMAM: Journal on Islamic …, 2024‏ - pub.darulfunun.id
The evolution of trade dynamics in the digital age has brought forth a landscape filled with
both opportunities and challenges. This study delves into the realm of trade transformation …

Informational cascade, regulatory focus and purchase intention in online flash shop**

P Zhu, C Miao, Z Wang, X Li - Electronic Commerce Research and …, 2023‏ - Elsevier
Online flash shop** has continued to gained popularity since its emergence. From the
perspective of informational cascade, our study explores the psychological processes of …

Food fraud prevention strategies: Building an effective verification ecosystem

L Manning, A MacLeod, C James… - … Reviews in Food …, 2024‏ - Wiley Online Library
Food fraud is an ever‐present threat that regulators, food business operators (FBOs), and
consumers need to be aware of, prevent where possible, and address by develo** …

[HTML][HTML] Credit card fraud detection using the brown bear optimization algorithm

SE Sorour, KM AlBarrak, AA Abohany… - Alexandria Engineering …, 2024‏ - Elsevier
Fraud detection in banking systems is crucial for financial stability, customer protection,
reputation management, and regulatory compliance. Machine Learning (ML) is vital in …

[HTML][HTML] CCFD: efficient credit card fraud detection using meta-heuristic techniques and machine learning algorithms

DT Mosa, SE Sorour, AA Abohany, FA Maghraby - Mathematics, 2024‏ - mdpi.com
This study addresses the critical challenge of data imbalance in credit card fraud detection
(CCFD), a significant impediment to accurate and reliable fraud prediction models. Fraud …

NNEnsLeG: A novel approach for e-commerce payment fraud detection using ensemble learning and neural networks

Q Zeng, L Lin, R Jiang, W Huang, D Lin - Information Processing & …, 2025‏ - Elsevier
The proliferation of fraud in online shop** has accompanied the development of e-
commerce, leading to substantial economic losses, and affecting consumer trust in online …

Re-Evaluating Trust and Privacy Concerns When Purchasing a Mobile App: Re-Calibrating for the Increasing Role of Artificial Intelligence

A Zarifis, S Fu - Digital, 2023‏ - mdpi.com
Mobile apps utilize the features of a mobile device to offer an ever-growing range of
functionalities. This vast choice of functionalities is usually available for a small fee or for …

Evaluation of E-Commerce Organic Coconut Sugar: Technology Acceptance Model (TAM) and End-User Computing Satisfaction (EUCS) Model.

A Indrayanto, YE Restianto, D Iskandar… - Quality-Access to …, 2024‏ - search.ebscohost.com
The purpose of this study was to evaluate coconut sugar e-commerce using the Technology
Acceptance Model (TAM) and End-User Computing Satisfaction (EUCS) models. The …

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review

A Mutemi, F Bacao - Big Data Mining and Analytics, 2024‏ - ieeexplore.ieee.org
The e-commerce industry's rapid growth, accelerated by the COVID-19 pandemic, has led to
an alarming increase in digital fraud and associated losses. To establish a healthy e …

Strategies for Identifying Online Scams

WY Leong, YZ Leong… - 2024 Asian Conference …, 2024‏ - ieeexplore.ieee.org
With the rapid growth of online transactions and interactions, the threat landscape of scams
and fraud has evolved, necessitating sophisticated detection mechanisms. This paper …