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.
Identifying and leveraging trade, investment and industrial policies that can attract and retain intangible capital.
Novel plant-level data from Germany sheds light on the current status and the potential determinants of robot use in manufacturing factories.
The potential for bringing production back home crucially depends on local innovation ecosystems.