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In such context quantitative foresight methods, such as trend-extrapolation, often prove to be unreliable.
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.
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Methodological links can be based on both quantitative and qualitative foresight methods.
Karlsen and Karlsen [3] investigated the inherent ontological and epistemic premises embedded in the application of quantitative and qualitative foresight methods and tools, offering taxonomies for the classification of the most commonly-used approaches according to criteria such as mobilisation, scope and complexity.
In the 2nd phase we used qualitative foresight methods.
This paper makes proposals to improve the consideration of lifestyles in the quantitative foresight exercises.
In the world of foresight methods, they imagine the future as uncertain regularities of which there is no objective knowledge and where (qualitative) narratives and (quantitative) numbers supplement each other.
Combining different foresight methods and integrating expert opinions transform the strategic foresight process into a powerful but major undertaking.
Which foresight methods did foresight practitioners perceive as most successful in for-profit corporations?
They can be augmented by Strategic Foresight methods.
The objective of this article is to explore the potential of text mining for foresight by considering different data sources, text mining approaches, and foresight methods.
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