Debate "The force behind decision-making – data, wisdom, and the crowds"

on YouTube ↗47m

" summary

Panel argues that internal prediction markets actually surface tacit employee knowledge by using a double-auction mechanism and competition plus incentives like extra holidays and company-wide rankings. Field experiments run with about 40 participants show only a few active traders but those trades reveal surprising threats that later materialize. Implementations use agent-based traders to restore liquidity, test top-three order transparency to speed learning, and work best in younger firms where processes are not yet rigid.

AI-written summary · about

" chapters (8)

1. 0:00Introduction to debate
2. 1:06Core vs crowd decision-making
3. 7:52Motivating employees to contribute
4. 18:05SMEs and wisdom of crowds
5. 24:21Leadership’s role in crowdsourcing
6. 33:31Cooperation vs competition in crowds
7. 42:37Policy support for SMEs
8. 46:37Closing remarks

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