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.
An assessment of the value capture of circularity drawing on the forestry-cellulose-paper value chain in Latin America.
A global competitiveness perspective of the EU’s industrial R&D investment.
A sociotechnical approach offers a framework for understanding the various facets and interactions of the industry.
The circular economy must be gender-responsive to actively bridge gaps and overcome barriers to ensure a just transition for all.
Advancing the global circular economy agenda requires understanding its linkages with other dimensions of the global production system.
The pandemic took the maritime transport industry by surprise and is now accentuating some of its long-term challenges.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.