Über den Autor
Michael Luca is Lee J. Styslinger III Associate Professor of Business Administration at Harvard Business School. His writing has appeared in publications including the Atlantic, Wall Street Journal, Harvard Business Review, and Slate.
Max H. Bazerman is Jesse Isidor Straus Professor of Business Administration at Harvard Business School. He is the author of The Power of Noticing and the coauthor of Blind Spots, Negotiation Genius, and other books.
Part One: Breaking Out of the Lab
Chapter 1: The Power of Experiments
Chapter 2: The Rise of Experiments in Psychology and Economics
Chapter 3: The Rise of Behavioral Experiments in Policymaking
Part Two: Experiments in the Tech Sector
Chapter 4: From the Behavioral Insights Team to Booking.com
Chapter 5: #AirbnbWhileBlack
Chapter 6: eBay's $50 Million Advertising Mistake
Chapter 7: Deep Discounts at Alibaba
Chapter 8: Shrouded Fees at StubHub
Chapter 9: Market-level Experiments at Uber
Chapter 10: The Facebook Blues
Part Three: Experimenting for the Social Good
Chapter 11: Behavioral Experiments for the Social Good
Chapter 12: Healthy, Wealthy, and Wise
Chapter 13: The Behavior Change for Good Project
Chapter 14: The Ethics of Experimentation
Chapter 15: A Final Case for Experiments and Some Concluding Lessons
How organizations--including Google, StubHub, Airbnb, and Facebook--learn from experiments in a data-driven world.
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments--also known as randomized controlled trials--designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world.