Uncertainty, Knowledge Problems, & Entrepreneurial Action
Key Finding
Knowledge problems are not a single phenomenon but a family of distinct challenges — uncertainty, ambiguity, equivocality, and complexity — each demanding categorically different entrepreneurial responses.
Overview
Published in the Academy of Management Annals and recipient of the 2018 Holtzman Research Award, this is the foundational review paper that established knowledge problems as a central organizing concept for entrepreneurship theory. Co-authored with Rick Hunt, Jeffrey McMullen, and Saras Sarasvathy — three of the field's most influential theorists — the paper maps how different types of uncertainty create different types of knowledge problems, each demanding fundamentally different entrepreneurial responses.
Contribution to the Research Program
This is the origin paper for the entire Knowledge Problems & Entrepreneurial Reasoning stream. Every subsequent paper in the stream — on Knightian uncertainty, on AI and computability, on pivot-or-persist decisions, on knowledge problem misdiagnosis — builds on the conceptual foundation established here. It is the intellectual DNA of the Cyborg Entrepreneurship lab.
Key Insights
- Knowledge problems come in distinct types: uncertainty, ambiguity, equivocality, and complexity
- Each type demands categorically different reasoning strategies and organizational responses
- Conflating different types of knowledge problems leads to systematically inappropriate action
- The framework provides both theoretical clarity and practical diagnostic tools for entrepreneurs and organizations
- This conceptual architecture supports the lab's subsequent work on AI, computability, and the limits of algorithmic reasoning