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.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Innovation can provide swift remedies to the COVID-19 linked recession. Policy should contain incentives to innovate in the long-term.
The recovery of supply chains can be supported through trade policies and firm-specific initiatives.
Automation and reshoring mitigate risks. Industrial policies aiming to reduce dependence on global supply chains could accelerate the trend.
COVID-19 struck at the core of GVC hub regions, with severe implications for international production networks.