What is it about?

This paper is about the implementation of a prediction market where the participation rate apparently continued to decrease over time. In addition, probably not surprisingly, participants did not participate "evenly." Instead, when it came to the week-end they did not participate as much. Further, there were some days with more and others with less participation. Unfortunately, this limits its ability to function as a DSS

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Why is it important?

I think this issue is critical. If there are no participants then there is no information from the market. If people do not participate then the information lags behind its occurrence, and the system loses its value as a DSS. In addition, this paper draws on theory from finance in open markets to generate the hypotheses.

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This page is a summary of: User participation in a corporate prediction market, Decision Support Systems, October 2015, Elsevier,
DOI: 10.1016/j.dss.2015.07.004.
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