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Oracle: How Prediction Markets Turn Employees into Visionaries

Oracle: How Prediction Markets Turn Employees into Visionaries

(Hardbound)
by Donald N. Thompson  
Language: English
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Book Summary of Oracle: How Prediction Markets Turn Employees into...

About the Book: Oracle: How Prediction Markets Turn Employees into Visionaries


From the selection of the new lead in a Broadway musical to forecasting congressional elections to the delivery delay of the Boeing 787 Dreamliner, prediction markets have solved a fascinating range of problems by aggregating the so-called wisdom of crowds. For many companies, prediction markets have remained an interesting curiosity. But operating under the radar, a number of innovative organizations - General Electric and Google, Motorola and Microsoft, HP and Eli Lilly, plus the Central Intelligence Agency - have tapped employee insights and used markets to make better decisions and to allow employees to become visionaries.

In Oracles, Donald N. Thompson explains how these organizations use prediction markets to change how business gets done. The successes and failures of these organizations, along with the roadblocks they face and overcome, provide a road map for leaders brave enough to test their expertise against the collective wisdom of their employees and the market - to the betterment of the bottom line.


About the Author: Donald N. Thompson


Donald N. Thompson is a professor of marketing, emeritus, at the Schulich School of Business at York University. He is the author of ten books, most recently The $12 Million Stuffed Shark: The Curious Economics of Contemporary Art.

 

Books Similar to : Oracle: How Prediction Markets Turn Employees into...

Details Of Book : Oracle: How Prediction Markets Turn Employees into...

Book: Oracle: How Prediction Markets Turn Employees into Visionaries
Author: Donald N. Thompson 
ISBN: 1422183173
ISBN-13: 9781422183175
Binding: Hardbound
Publishing Date: 2012-06-05
Publisher: Harvard Business Review Press
Number of Pages: 256
Language: English
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