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Reference

Agrawal, A., Camuffo, A., Gambardella, A., Gans, J., Scott, E. L., & Stern, S. (Eds.). (2026). Bayesian Entrepreneurship. https://doi.org/10.7551/mitpress/15918.001.0001

Review Essay

Mukhopadhyay, M. (2026). Book review Bayesian entrepreneurship : edited by Ajay Agrawal, Arnaldo Camuffo, Alfonso Gambardella, Joshua Gans, Erin L Scott and Scott Stern, US, The MIT Press, 2026, 348, $120.00 (Hardcover), ISBN 9780262052153 . Journal of Small Business & Entrepreneurship, 1–5. https://doi.org/10.1080/08276331.2026.2672838

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🎙️📚 Welcome back to Revise and Resubmit, and this is another episode of Weekend Book Review 🌙☕

Some books try to teach you how to build a company. Bayesian Entrepreneurship asks something deeper: how do we make decisions when the future refuses to sit still? 🤔✨

Published in 2026 by The MIT Press, this edited volume brings together Ajay Agrawal, Arnaldo Camuffo, Alfonso Gambardella, Joshua Gans, Erin L. Scott, and Scott Stern, scholars whose work lives at the intersection of innovation, strategy, and uncertainty. 📖⚙️

What makes this book refreshing is its quiet rejection of the startup myth. Instead of glorifying instinct or genius, the editors frame entrepreneurship as a process of learning. Founders begin with beliefs, test them through experiments, gather evidence, and revise their assumptions along the way. 🌱📈

At the center of the book is Bayesian reasoning, the idea that progress comes from updating what we think we know when reality pushes back. Entrepreneurs here are not fortune tellers. They are investigators, carrying bold theories into uncertain markets and learning, sometimes painfully, what survives contact with the real world. 🔍✨

I found myself drawn to the humanity of that idea. Because outside business, isn’t that how most of us live? We move forward with incomplete information, revising ourselves in real time. ❤️

Ajay Agrawal’s influence on experimentation and innovation is felt throughout the book, while Joshua Gans brings sharp insights into strategy and persuasion. Arnaldo Camuffo and Alfonso Gambardella add depth from the world of management and innovation studies, and Erin L. Scott and Scott Stern ground the collection in practical entrepreneurial learning. Together, the editors create a conversation that feels rigorous, but deeply alive. 🎓🌍

So as we step into Bayesian Entrepreneurship, maybe the real question is not whether entrepreneurs can predict the future. Maybe it’s this: how willing are we to change our minds when the evidence asks us to? 🌌🎧

My thanks to the editors and to The MIT Press for this thoughtful collection. 🙏📘

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