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 …

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 …

Online flash shop** has continued to gained popularity since its emergence. From the
perspective of informational cascade, our study explores the psychological processes of …

Fraud detection in banking systems is crucial for financial stability, customer protection,
reputation management, and regulatory compliance. Machine Learning (ML) is vital in …

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 …

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 …

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 …

In the ever-evolving landscape of technology, companies strive for innovation to maintain
competitiveness. Artificial Intelligence (AI) has permeated every sector, and in the realm of e …

Tax policies across countries reveal disparities that cybercriminals can exploit, taking
advantage of the development of the e-commerce sector. There is a dearth of studies that …

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 …