This study aimed to systematically review and categorize studies on consumer behavior
based on theory of planned behavior (TPB), its core constructs, or extensions, and to provide …

This study investigates customer behaviour and activity in the banking sector and uses
various feature transformation techniques to convert the behavioural data into different data …

This study demonstrates how Machine Learning techniques and Big Data Analytics can be
used in the insurance sector. Due to various web technologies, mobile devices, and sensor …

Purpose This study aims to investigate the moderating role of natural language processing
natural language processing (NLP) on the relationship between AI-empowered AIS (data …

Abstract Blockchain and Machine Learning (ML) are state-of-the-art technologies in the
digital era. Developing countries have witnessed great digital transformation, and one of the …

Medical claim insurance fraud poses a significant challenge for insurance companies and
the healthcare system, leading to financial losses and reduced efficiency. In response to this …

Forecasting credit default risk has been an important research field for several decades.
Traditionally, logistic regression has been widely recognized as a solution because of its …

This paper addresses the crucial issue of boardroom diversity and proposes a novel
approach utilizing machine learning to predict gender diversity on the boards of Chinese …

Financial decision-making problems based on relatively few observations and several
explanatory variables can be problematic for the common machine learning (ML) tools …

The rapid advancement of technology in recent years has brought about numerous changes
in various industries, and the financial sector is no exception. The rise of financial …