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IT systems can assist with the growing complexity of strategic foresight methods.
In this study, we integrate various foresight methods in analysing the future of the sawmilling industry in Finland.
Combining different foresight methods and integrating expert opinions transform the strategic foresight process into a powerful but major undertaking.
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.
Currently, specialized IT systems can support various strategic foresight methods and foresight activities, but these are generally focused on isolated applications rather than providing a holistic solution.
Scenarios, roadmaps and similar foresight methods are used to cope with uncertainty in areas with long planning horizons, such as energy policy, and research into the future of hydrogen energy is no exception.
They can be augmented by Strategic Foresight methods.
The practitioners interviewed used only a small subset of the available foresight methods.
Three foresight methods were used in the futures clinique: futures wheel, futures image, and futures table.
Interview queries aligned with the guiding research questions explored corporate foresight methods and outcomes.
In such context quantitative foresight methods, such as trend-extrapolation, often prove to be unreliable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com