Decision-making for manufacturing and maintenance operations is benefiting from the
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …

A significant body of recent research in the field of Learning Analytics has focused on
leveraging machine learning approaches for predicting at-risk students in order to initiate …

Bibliometric analysis is vital for identifying gaps and potential research directions. The
importance of bibliometric analysis in identifying research gaps and prospective future …

During the fast progress of digital technologies, business intelligence (BI) has experienced a
significant change, leading to new chances for making data-informed decisions and gaining …

The aviation industry is facing an ever-increasing competition to lower its operating cost.
Simultaneously, new factors, such as sustainability and customer experience, become more …

Abstract Prescriptive Analytics Systems (PAS) represent the most mature iteration of
business analytics, significantly enhancing organizational decision-making. Recently …

As they swiftly evolve and become widely adopted, new technologies are fundamentally
transforming the landscape of business models. Digital transformation has become a top …

In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of
interest for both academicians and practitioners. As prescriptive analytics has transitioned …

Data analytics (DA) has gained significant attention within the context of Zero-Defect
Manufacturing (ZDM), as it holds the potential to enhance product quality through the …

In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions
is crucial for optimizing processes. This study introduces a novel framework that combines …