Digital technologies (DTs), such as the Internet of Things, big data, artificial intelligence, or
blockchain, are considered as enablers for a more sustainable and circular economy. So far …

Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

The desire to enhance connectivity and communication while simplifying data used to
improve and optimize products and processes has driven many organizations within …

In the practice of cloud manufacturing, there still exist some major challenges, including: 1)
cloud based big data analytics and decision-making cannot meet the requirements of many …

Advances in smart technologies (Industry 4.0) assist managers of Micro Small and Medium
Enterprises (MSME) to control quality in manufacturing using sophisticated data-driven …

Data-driven supply chain analytics skills are seen as the next frontier of the supply chain
transformation. The potential of data analytics-enabled dynamic capability for improving …

Business model innovation is considered key for organizations to achieve sustainability.
However, there are many problems involving the operationalization of business model …

Purpose This study initially aims to identify the barriers to the big data analytics (BDA)
initiative and further evaluates the barriers for knowing their interrelations and priority in …

This article presents problems of application of the corporate Information systems and
discloses the need for teaching the corresponding application techniques within the …

Six Sigma is one of the most successful quality management philosophies of the past 20
years. However, the current challenges facing companies, such as rising process and …