Fuzzy Predictions for Strategic Decision Making: A Third-Generation Prediction Market

Carina Antonia Hallin, Torben Juul Andersen, Sigbjørn Tveterås

    Research output: Working paperResearch

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    This article theorizes a new way to predict firm performance based on aggregation of sensing among frontline employees about changes in operational capabilities to update strategic action plans. We frame the approach in the context of first- and second-generation prediction markets and outline its
    unique features as a third-generation prediction market. It is argued that frontline employees gain deep insights when they execute operational activities on an ongoing basis in the organization. The experiential learning from close interaction with internal and external stakeholders provides unique insights not otherwise available to senior management. We outline a methodology to agglomerate these insights in a performance barometer as an important source for problem finding and innovation.
    Original languageDanish
    Place of PublicationFrederiksberg
    PublisherCopenhagen Business School [wp]
    Number of pages35
    Publication statusPublished - 2013
    SeriesCGSR Working Paper Series

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