A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

DIVThis enduring economics text provided the theoretical basis of the entrepreneurial American economy during the post-industrial era. A revolutionary work, it taught the world how to systematically distinguish between risk and uncertainty. /div

This book critically discusses and systematically compares J.M. Keynes and F. H. Knight, two giants in the history of economic thought. In 1921 they both published apparently similar books on risk, probability, and uncertainty. However, while Knight's contribution on risk and uncertainty is now well recognized, Keynes's work on probability and uncertainty has been somewhat ignored in the shadow of his more famous The General Theory of Employment, Interest and Money (1936). Focusing on an earlier yet equally important volume by Keynes, A Treatise on Probability (1921), this book sheds a light on his outstanding ideas and the lasting influence on his later works, including The General Theory. There are few books that systematically discuss Keynes and Knight, although there are remarkable comparisons between Keynes's concept of probability and uncertainty and Knight's distinction between a measurable risk and a non-measurable uncertainty. This timely book unifies Keynes and Knight into a new, comprehensive approach to a very complex human behavior

Pt. 1. Introductory.--pt. 2. Perfect competition.--pt. 3. Imperfect competition through risk and uncertainty.

“This book is a must for any Business Development Manager, Corporate Strategist, R&D Director, and anyone else who is accountable for growth in a corporation. It is an easy read that is practical and not fraught with useless academic theories.” Ron Pierantozzi, Ph.D., CEO of PPT Research and Former Director, Business Development, Air Products & Chemicals, Inc. A Breakthrough Approach to Investing in Business Innovation Most companies analyze investments using tools that bias them against real innovation and lead them to avoid their best opportunities. This book introduces a breakthrough alternative: Opportunity Engineering. Drawing upon recent advances in financial analysis, but without requiring a lot of math, the authors show how to engineer the risk out of uncertain opportunities so you can pursue more high-payoff innovations. You’ll learn how to escape from the “go/no-go vise” and implement more flexible decision-making that considers all the business alternatives, models, and opportunities associated with each project. You’ll learn how to systematically structure high-potential projects to limit downside exposure and boost your potential upside. The authors show how to define the scope of investment opportunities, identify key drivers of potential profits, document assumptions, design out major risks, and tease out key challenges and vulnerabilities. Using these techniques, you can escape the mindset that limits you to low-impact innovations and begin pursuing serious growth opportunities--and make business uncertainty work for you, not against you. Why companies avoid their best opportunities for innovation Getting past risk-averse analysis that snuffs out experimentation and innovation Systematically engineering your opportunities Capturing the upside, slicing out the downside Beyond rigid “go/no-go” decisions How flexible, staged innovation creates more opportunities for delivering value Constructing an engineered growth portfolio of innovation investments Optimizing your mix of core-enhancing investments and high potential “long shots”