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

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 …

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 …

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 …

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

The article proposes a process for claims assessment in car insurance, which makes it
possible to calculate the fraud rate on the annual set of claims using a reduced set of …

Data-intensive methodologies and tools have been playing a pivotal role in various research
and application areas with contributions from diverse communities including computer …

Purpose: This study aims to examine the use of intelligent automation in the process of
detecting and investigating fraud. Methodology/approach: This research is a bibliometric …

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 …