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 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.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Why revisiting traditional frames of reference on firm-level capabilities is crucial to unlock benefits of digital transformation.
Circularity can offer a backbone for public policy to support industrial development amidst existing environmental and social concerns.