Maturity models (MMs) are strategic tools used to assess and improve the current state of
processes, objects, or people, with the goal of achieving continuous performance …

Purpose Previous studies have focused on explaining the developmental paths and the
relevant skills necessary for smart factories, based on an extensive review of the literature …

Purpose Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements
by enhancing current capabilities such as defect identification and enabling supporting …

The rapid advancement and integration of generative AI technologies have significantly
transformed online and adult learning domains. This conceptual working paper introduces …

This study aims to create a scientific map of supply chain automation research focusing on
human resources management, which will be applicable in practice and widen the …

This chapter is designed to provide an overview of the challenges facing Industry 4.0,
focussing on the manufacturing sector, and highlighting the specifics of small to medium …

The transition towards Industry 4.0 is taking place nowadays, with fundamental technologies
such as CPSs (Cyber-Physical System) and Digital Twins enabling it. For this, a variety of …

This article aims to present AI-driven learning strategies and provide educational institutions
with a practical guide for designing courses that align with the evolving needs of non-IT …

The transition between Industry 3.0 and Industry 4.0 is taking place nowadays, with the CPS–
known as CPPS in the manufacturing context–as the fundamental technology enabling this …

The concept of industry 4.0 has long been a topic of discussion, research, and cultural
impact, it has also rapidly increased effectiveness, profitability, and growth for the involved …