Industry 4.0 technologies provide digital solutions for the automation of manufacturing. In
circular economy-based models, the resources stay in the system as it experiences one of …

Purpose The study challenges the assumption of independence among Technological,
Organizational and Environmental (TOE) factors and investigates the influence of TOE …

Abstract Digital technologies for Industry 4.0, such as the Internet of Things, cloud
computing, big data and analytics, have attracted much attention from both researchers and …

With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

Existing literature on the Industry 4.0 concept does not empirically verify if, how, and for
which types of firms, a greater openness to enabling technologies of Industry 4.0 provides …

Although scholars in management recognize the value of harnessing big data to
understand, predict and respond to future events, there remains little or very limited overview …

Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

The emergence of smart technologies (STs) is inducing significant transformation in logistics
and transport nowadays. STs refer to the applications of artificial intelligence and data …

The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …

Purpose This paper analyzes the effect of circular economy practices on firm performance
for a circular supply chain and explores the moderating role that big-data-driven supply …