Warehouse management will be the focus of this article, which aims to examine the benefits
and issues & challenges of using Industry 4.0 technologies to achieve Sustainable …

As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …

Artificial Intelligence (AI) is viewed as having potential for significant economic and social
impact. However, its history of boom and bust cycles can make potential adopters wary. A …

ABSTRACT Industry 4.0 (I4. 0) is a fast-evolving area of research, bringing together
knowledge from multiple academic fields into creative solutions for manufacturing …

Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess
the level of implementation of sustainability strategies and practices in this type of business …

Organizations in various industries have widely developed the artificial intelligence (AI)
maturity model as a systematic approach. This study aims to review state-of-the-art studies …

The purpose of this paper is to conduct a comparison for Industry 4.0 maturity models in the
context of Total Quality Management (TQM) principles. TQM principles have been used as …

The evolution of Internet of Things (IoT) devices and their adoption in new generation
intelligent systems has generated a huge demand for wireless bandwidth. This bandwidth …

Logistics plays an essential role in supply chain management to plan and coordinate the
movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 …