Purpose Recent disruptions have sparked concern about building a resilient and
sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens …

This study explores the evolution and impact of research on the challenges and
opportunities in the implementation of artificial intelligence (AI) in manufacturing between …

In the span of three years, the application of large language models (LLMs) has accelerated
across a multitude of professional sectors. Amid this development, a new collection of …

Manufacturing operations rely heavily on external sources and supply chain (SC) networks,
making them susceptible to material and operational risks. In response, manufacturers are …

Purpose Drawing upon socio-technical system theory, this study intends to investigate the
effects of the congruence and incongruence between artificial intelligence (AI) and …

Objective The presence of artificial intelligence (AI) in healthcare is a powerful and game-
changing force that is completely transforming the industry as a whole. Using sophisticated …

The electric vehicle enterprise is a key force in meeting net zero targets, which is related to
the future of the industry. In the context of business ecosystems, electric vehicle enterprises …

Despite growing interest, many industries face foundational barriers to AI adoption,
especially in emerging economies. This study systematically analyzes these barriers in …

This study analyzes the current state of artificial intelligence (AI) technologies for addressing
and mitigating climate change in the manufacturing sector and provides an outlook on future …

Artificial intelligence (AI) has become a critical transformer in modern manufacturing that
provides unique opportunities to improve business analytics and operational efficiency. In …