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The mathematical structure of innovation

TFT. FinkITI. Teimouri Arxiv

The mathematical structure of innovation

A theoretical model of recursive innovation suggests that new technologies are recursively built up from new combinations of existing ones.

How much can we influence the rate of innovation?

TFT. FinkMRM. Reeves Science Advances

The rate of innovation

The distribution of product complexity helps explain why some technology sectors tend to exhibit faster innovation rates than others.

How well do experience curves predict technological progress? A method for making distributional forecasts

FLF. LafondDFD. FarmerABJBDRRZPM Technological Forecasting and Social Change

How well do experience curves predict technological progress? A method for making distributional forecasts

We presented a method to test the accuracy and validity of experience curve forecasts.

Searching for great strategies

TFT. FinkMRM. ReevesPG Strategy Science

The science of strategy

The usefulness of components and the complexity of products inform the best strategy for innovation at different stages of the process.

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4 Nature Communications

Serendipity and strategy

In systems of innovation, the relative usefulness of different components changes as the number of components we possess increases.

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4 MIT Sloan Management Review

Harnessing the secret structure of innovation

Firms can harness the shifting importance of component building blocks to build better products and services.

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2 Research Policy

How predictable is technological progress?

Predicting the evolution of technology allow us to make better investments and policies.

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1 Journal of Economic Dynamics and Control

Self-organization of knowledge economies

Simulations for 106 periods, using different social networks.

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5 Scientific Reports

A new metric for countries’ fitness and products’ complexity

A snapshot of the bipartite network for the most important countries; size of vertices is the fitness and the complexity