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Increasing IS environmental volatility leads to increasing user uncertainty concerning IS needs; this can have a very detrimental effect on the productive development of IS.
One factor that has greatly impacted productivity is IS environmental volatility; this can be defined as the rapid rate of change in environments where IS are employed.
The second perceptual model did not use estimates of environmental volatility to adapt learning.
Our experimental paradigm differed from a conventional Posner task, in that the spatial cues predicted the target location with different probabilities at different times during the experiment, thus requiring the subject to infer CV while accounting for environmental volatility.
Moreover, both studies employed models that are agnostic about environmental volatility, thereby precluding the possibility that the subjects can adapt their learning rates, based on their current belief about the volatility of the environment.
Extending previous theoretical work (Feldman and Friston 2010), we were able to provide empirical evidence for the free-energy formulation of attention in the context of a Posner paradigm where CV changed unpredictably in time, thus requiring the subject to learn about environmental volatility.
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These thresholds are governed by intrinsic and extrinsic factors such as inherent strength of a chemical action, chemical volatility, environmental temperature, humidity, proximity and length of exposure, and a mosquito's sensitivity to a compound, to name just a few factors.
Second, the cost advantage is affected by the volatility of environmental factors such as electricity prices, feed-in remunerations and fuel prices.
The SD criteria demonstrated that although dairy farming generates the highest returns, plantation forestry with nitrogen and carbon payments would be a preferred alternative for landowners with relatively low risk aversion levels who consider return volatility and environmental limits within their land-use change criteria.
The urgency for development of sustainable liquid biofuels in the transport sector is recognised globally due to concerns regarding energy security, oil price volatility and environmental pollution [ 1].
Thus, different archetypes of environmental settings, such as industry volatility, high environmental complexity, or a combination of both must be considered (Siggelkow and Rivkin 2005).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com