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Oracles: how prediction markets turn employees into visionaries

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...

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Autor principal: Thompson, Donald N
Lenguaje:eng
Publicado: Harvard Business Review Press 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/2663785
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author Thompson, Donald N
author_facet Thompson, Donald N
author_sort Thompson, Donald N
collection CERN
description 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.
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spelling cern-26637852021-04-21T18:30:05Zhttp://cds.cern.ch/record/2663785engThompson, Donald NOracles: how prediction markets turn employees into visionariesInformation Transfer and ManagementWhy 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.Harvard Business Review Pressoai:cds.cern.ch:26637852012
spellingShingle Information Transfer and Management
Thompson, Donald N
Oracles: how prediction markets turn employees into visionaries
title Oracles: how prediction markets turn employees into visionaries
title_full Oracles: how prediction markets turn employees into visionaries
title_fullStr Oracles: how prediction markets turn employees into visionaries
title_full_unstemmed Oracles: how prediction markets turn employees into visionaries
title_short Oracles: how prediction markets turn employees into visionaries
title_sort oracles: how prediction markets turn employees into visionaries
topic Information Transfer and Management
url http://cds.cern.ch/record/2663785
work_keys_str_mv AT thompsondonaldn oracleshowpredictionmarketsturnemployeesintovisionaries