Oracles: How Prediction Markets Turn Employees into Visionaries
2012年5月 · Harvard Business Press
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256
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Why Prediction Markets Are Good for Business
From selecting the lead actress in a Broadway musical, to predicting a crucial delay in the delivery of Boeing’s 787 Dreamliner months before the CEO knew about it, to accurately forecasting US presidential elections—prediction markets have realized some amazing successes by aggregating the wisdom of crowds.
Until now, the potential for this unique approach has remained merely an interesting curiosity. But a handful of innovative organizations—GE, Google, Motorola, Microsoft, Eli Lily, even the CIA—has successfully tapped employee insights to change how business gets done.
In Oracles, Don Thompson explains how these and other firms use prediction markets to make better decisions, describing what could be the origins of a social revolution. Thompson shows how prediction markets can:
• draw on the hidden knowledge of every employee
• tap the “intellectual bandwidth” of retired employees
• replace surveys
• substitute for endless meetings
By showing successes and failures of real organizations, and identifying the common roadblocks they’ve overcome, Oracles offers a guide to begin testing expertise against the collective wisdom of employees and the market—all to the benefit of their bottom line.
From selecting the lead actress in a Broadway musical, to predicting a crucial delay in the delivery of Boeing’s 787 Dreamliner months before the CEO knew about it, to accurately forecasting US presidential elections—prediction markets have realized some amazing successes by aggregating the wisdom of crowds.
Until now, the potential for this unique approach has remained merely an interesting curiosity. But a handful of innovative organizations—GE, Google, Motorola, Microsoft, Eli Lily, even the CIA—has successfully tapped employee insights to change how business gets done.
In Oracles, Don Thompson explains how these and other firms use prediction markets to make better decisions, describing what could be the origins of a social revolution. Thompson shows how prediction markets can:
• draw on the hidden knowledge of every employee
• tap the “intellectual bandwidth” of retired employees
• replace surveys
• substitute for endless meetings
By showing successes and failures of real organizations, and identifying the common roadblocks they’ve overcome, Oracles offers a guide to begin testing expertise against the collective wisdom of employees and the market—all to the benefit of their bottom line.
關於作者
Donald N. Thompson is an economist and professor of marketing, emeritus, at the Schulich School of Business at York University in Toronto. He has taught at Harvard Business School and the London School of Economics. Thompson is author of nine books, including The $12 Million Stuffed Shark: The Curious Economics of Contemporary Art, which has been published in thirteen languages.
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