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.
The evidence to date suggests that 3D printing might actually complement trade in goods.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Big data can help detecting high-potential export products to support diversification.
Innovation can provide swift remedies to the COVID-19 linked recession. Policy should contain incentives to innovate in the long-term.
Automation and reshoring mitigate risks. Industrial policies aiming to reduce dependence on global supply chains could accelerate the trend.