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(b) Tacit knowledge of operators affects rendering process.
This last question pertains to how tacit knowledge of operators is developed, and how they use in decision-making.
This captures the tacit knowledge of operators and represents it in a way that can be used for further training and improvement cycles.
Firms find it important to use the tacit knowledge of operators as a part of the improvement cycle, to create new knowledge, obtain competitive advantage, and stay in business (Nonaka 1991; Rowley 1999).
Our method is not to even attempt to extract the actual tacit knowledge of operators, but rather to identify where the tacit knowledge was being applied, and the nature of that knowledge.
Similar(55)
The computations of first algorthim requires prior knowledge of operator norm.
Moreover, in the second algorithm, a way of selecting an adaptive step-size in the second projection has allowed us to avoid the prior knowledge of operator norm.
This solves SCFP (1.3) for generalized asymptotically quasi-nonexpansive operators, asymptotically quasi-nonexpansive operators, quasi-nonexpansive operators, and firmly quasi-nonexpansive operators without prior knowledge of operator norm ∥ A ∥.
The knowledge required to remove the filters exceeded the basic knowledge of the operators.
He said two itemisers were incapacitated by sabotage, remarking that "the knowledge required to remove the filters exceeded the basic knowledge of the operators".
These examples highlight the interest of neural techniques, when complex nonlinear phenomena are involved, but the empirical knowledge of control operators can be learned.
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