The problem is not just one of visibility, but of conceptual mismatch. Much of Africa’s innovation is incremental, ...

Plenty has been studied on how to unlock that spark of motivation in an employee base. The dominant theory in this space is ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

Building on the work of Manuel P. Teodoro, the authors use these cases to discuss how the inflexibility of personnel systems and political costs of disruptive reforms combine with the professional ...

How can we account for the global diffusion of remarkably similar policy innovations across widely differing nation-states? In an era characterized by heightened globalization and increasingly radical ...

By many accounts, China’s AI industry is closing the gap with the U.S. American export controls have supercharged Chinese domestic innovation, and Chinese AI chatbot models such as DeepSeek now equal ...

The very development of a field depends on their diffusion, replication, critique, and modification. Yet some organizations refuse to articulate a theory of change and some funders think it would be ...

Firms have never known more about their customers, but their innovation processes remain hit-or-miss. Why? According to Christensen and his coauthors, product developers focus too much on building ...

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