Predictive value of horizon scanning for future scenarios

Purpose The purpose of this study is to measure the predictive value of future scenarios prepared using horizon scanning. The future scenarios prepared at the initiative of the Japanese Government have had low predictive value. They have frequently failed to contribute to industrial development and caused social loss. Horizon scanning, which is a key methodology applied in foresight activities, has begun to be used in countries as part of their national innovation systems in lieu of conventional forecasting methods based on the assumption of technological innovation. Research was conducted to actually measure the predictive value of future scenarios prepared using horizon scanning. Design/methodology/approach An online survey in Japan was conducted on ordinary people's attitudes. The questionnaires presented 20 scenarios regarding future society, which were created with the conventional method or horizon scanning method. Findings Survey results verified that horizon scanning-based scenarios provided significantly higher predictive value than scenarios prepared using conventional methods. Practical implications Implication 1: By eliminating bias in input data and perspectives adopted when considering scenarios, it may be expected that scenarios will be derived that have even higher predictive value. Implication 2: By setting the layers of anticipated outputs high and the fields broad, it may be expected that scenarios will be derived that have even greater change. Originality/value The relatively high rate for the predictive value of the horizon scanning method, more than 40%, validated in this study was significant.

Automated summary

The study measured the predictive value of future scenarios prepared using horizon scanning. The research found that scenarios based on horizon scanning provided significantly higher predictive value than those prepared using conventional methods. Eliminating bias and widening the scope of scenarios may enhance their predictive value.