Prediction markets for foresight

摘要

To navigate turbulent business environments, organizations have to develop foresight capacities that enable them to anticipate probable futures, respond rapidly to emerging changes, and support future oriented action. However, there are remaining barriers that impede a wider implementation of foresight. In particular, the necessities to deal with the future, anticipate change, enhance participation and reduce costs and complexity call for new methods to improve current foresight activities. In this paper, we introduce prediction markets to the field of foresight. Prediction markets are a structured approach to collect and aggregate information from groups and have recently gained attention in forecasting. Prediction markets go beyond simple forecasting and can contribute to foresight by providing advantages in terms of continuous and real-time information aggregation, motivation of participation and information revelation as well as cost-efficiency and scalability. We suggest four promising fields of application for prediction markets to enhance foresight: (1) continuous forecasting and environmental scanning, (2) combining with deliberative approaches, (3) continuous idea generation and (4) expert identification. We conclude by considering prediction markets as a nascent and promising method for foresight and advocate for further research.