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.
Four emerging approaches to national data policies, as data is becoming a key component of the digital economy.
An assessment of the value capture of circularity drawing on the forestry-cellulose-paper value chain in Latin America.
Evidence indicates that Portuguese firms successfully adapted their operations in the face of COVID-19 containment measures.
The diaspora can support the country’s diversification and foster its economic integration into global value chains.
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.
Human-machine collaboration must have a strategic and holistic perspective to unlock its inherent value for both businesses and workers.