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How could qualitative Foresight information be (effectively) included in decision-making processes in companies?
Methodological links can be based on both quantitative and qualitative foresight methods.
This kind of qualitative foresight approach is suitable when the futures of supply-chain and value networks are analyzed.
In doing so we relied methodologically on qualitative foresight tools combined at the end of the project with quantitative micro-simulation.
The authors applied a combined macro- & micro- scenario building approach, which provided an adequate way to make entrepreneurs familiar with both quantitative and qualitative Foresight methods.
Ideally, we look for the in-depth, contextualised, and natural but more time-consuming insights of qualitative foresight research, coupled with the more time-efficient but less rich or compelling predictive power of quantitative foresights.
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They claim that an optimal combination of qualitative and quantitative foresight methods' approaches is only limited by the ingenuity of the researchers themselves, not by the intrinsic characteristics of the approaches.
The purpose of this qualitative research was to identify foresight methods that foresight practitioners use and to describe the results attainted by for-profit corporations.
Thirdly, stronger integration of qualitative and quantitative data in foresight is also called for as different methods have their strengths and weaknesses in different areas [16, 17, 18].
It is urgent to take full account of the insights that may be gained through the inclusion of interpretive qualitative approaches when doing quantitative foresight exercises, because the latter may tend to underestimate the contribution and need for triangulated approaches in practice and vice versa.
No research design, including foresights, implies either qualitative or quantitative data.
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