The London Institute’s papers are the official record of our discoveries. They allow others to build on and apply our work. Each one is the result of many months of research, so we strive to make them clear, inspiring and beautiful, and publish them in leading journals.

Image for the paper "The working limitations of large language models"
Machine learning

The limits of LLMs

Large language models like ChatGPT can generate human-like text but businesses that overestimate their abilities risk misusing the technology.

MBMikhail BurtsevMRMartin ReevesAJ
MIT Sloan Management Review
Image for the paper "Taming complexity"
Theory of innovation

Taming complexity

Insights from biology, physics and business shed light on the nature and costs of complexity and how to manage it in business organizations.

MRMartin ReevesTFThomas FinkSLAL
Harvard Business Review
Image for the paper "How much can we influence the rate of innovation?"
Theory of innovation

The rate of innovation

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

TFThomas FinkMRMartin Reeves
Science Advances
Image for the paper "Searching for great strategies"
Theory of innovation

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.

TFThomas FinkMRMartin ReevesPG
Strategy Science
Theory of innovation

Serendipity and strategy

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

TFMRRFRP
Nature Communications
Theory of innovation

The secret structure of innovation

Firms can harness the shifting importance of component building blocks to build better products and services and hence increase their chances of sustained success.

MRTFRPJH
MIT Sloan Management Review