Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing...

This paper is divided into four main parts. In the first part of the study, we identified the most significant factors that affect the performance of groups in collaborative learning situations. The results showed that the extent of communication, interactions and involvement/participation...

Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in many fields including healthcare and medicine. In this exemplary study, using digitized signal data, we developed predictive models employing three machine learning methods to...

The financial technology revolution is a reality, as the financial world is gradually transforming into a digital domain of high-volume information and high-speed data transformation and processing. The more this transformation takes place, the more consumer and investor behaviour shifts towards...

In the era of digitalization, CRISP-Data Mining and predictive analytics have emerged as an important tool to handle big data. Big data is characterized by three important factors -volume, velocity and variability. The paper discusses about CRISP-DM and Machine Learning Algorithms which are used...