Max Boisot’s work establishes the I-Space framework to analyse how information is structured, shared, and exploited across different social and economic systems. By examining the dimensions of codification, abstraction, and diffusion, he illustrates how data is transformed into valuable knowledge and moves through a Social Learning Cycle. These theoretical tools are applied to diverse real-world contexts, ranging from the complex scientific collaboration at CERN’s ATLAS detector to the challenges of industrial governance in post-socialist China and Eastern Europe. Boisot further extends this analysis to global networks, exploring how businesses must manage uncertainty, institutional learning, and risk mitigation in the face of international terrorism. Ultimately, the sources provide a comprehensive strategic perspective on how the structuring of information shapes organizational effectiveness, cultural evolution, and the stability of modern institutional orders.