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Given an interdependent business landscape, there are at least two major context-related aspects that affect an innovation forecast.
The empirical findings suggest that the results of the innovation forecast are highly dependent on the actors' abstraction of the business landscape which in turn is affected by the contexts of the actors.
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The following paper contributes to the methodology of innovation forecasting.
In order to mobilize the necessary resources for innovation forecasts are unavoidable.
Finally, we discuss the relevance of the model in terms of innovation forecasting.
The paper reviews the literature of innovation forecasting, examining a range of theoretical and methodological literatures interested in the evolution of knowledge.
With the legislation, Energy Innovation forecasts future auctions for carbon allowances will sell out completely (or be 'fully subscribed,' in market terminology) at least through 2020, generating the additional near-term revenue.
The justices' sense that Aereo is ducking out of the requirements imposed on other players in the field, and their desire not to thwart technological innovation, make forecasting their decision a more complicated task than observers might have assumed it to be this morning.
That decision resulted in a burst of innovation, including forecasts, mobile applications, websites, research and a multi-billion dollar weather industry.
Partly owing to its influence, the British government effectively eliminated FitzRoy's position at the Meteorological Department shortly after his death, and suspended his two major innovations — weather forecasts and storm warnings — until scientific and public outcry sufficed to get them reinstated.
However, any "innovations in forecasting technologies are useless unless they are effectively communicated, understood, and acted upon" (Demeritt et al. 2013, p. 147) since impacts can be highly dependent on the warning process and the action taken by the receiver (Drabek 1999; Mileti 1995).
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