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.
Implications and long-term management of the semiconductor shortage.
Global value chains (GVCs) are experiencing a de-globalization and decoupling trend, and determining its impacts on trade systems and industry status is key.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Policy reforms need to address low financial returns which hamper the contribution of FDI to sustainable development.
Human-machine collaboration must have a strategic and holistic perspective to unlock its inherent value for both businesses and workers.
Advances in production technology and a trend towards shorter supply chains make a return to “business as usual” highly unlikely.
Innovation can provide swift remedies to the COVID-19 linked recession. Policy should contain incentives to innovate in the long-term.