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In complex environments, decision making process faces several challenges due to the dynamic of unpredicted events.
The central argument of this work is that in dynamic and highly complex electronic environments decision support systems (DSSs) should be situated in the problem domain.
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In those environments, decision-making and direction emerge from the participation of members.
In such an environment, decision makers need to better understand long-term dynamics of the supply and demand sides of the power market.
In an increasingly complex medical environment, decision support systems are promising tools for clinicians, overloaded with information.
Wakeham says that of all the government's environment decisions, he was "most shocked when they wanted to cut the Veet because it had created 2000 jobs and it had delivered cost savings to hundred of households and business".
To guarantee high production standards which respect the environment, decision-makers in the European Community must promote best management practices (BMPs).
In the global manufacturing environment, decisions involvingproduction activities and distribution should be made in an integrative manner for substantial savings in the logistics costs.
To decide and act successfully in this complex environment, decision-makers need to gain a deeper understanding of the development and a clearer picture of the future – and to reduce uncertainty.
Unlike the centralized environment, decision-making of market participants is now guided by price signal feedbacks and by an imperfect foresight of the future market conditions (and competitor actions) that they will face.
Within a resource scarce environment decisions still need to be made.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com