Industry 4.0: A cornerstone of the Circular Economy
Data-driven systems identify risks and opportunities in circular business models.
Data-driven systems identify risks and opportunities in circular business models.
A sociotechnical approach offers a framework for understanding the various facets and interactions of the industry.
Evidence indicates that Portuguese firms successfully adapted their operations in the face of COVID-19 containment measures.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Human-machine collaboration must have a strategic and holistic perspective to unlock its inherent value for both businesses and workers.