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In the immediate future, intergenerational knowledge transfer is one of the knowledge-based economy’s main challenges since an inner motivational force powers knowledge transfer. Knowledge transfer from individuals to groups and organization must follow knowledge creation in order to transform...
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This paper shows that, in case of an econometric model with a high sensitivity to data, using stochastic optimization algorithms is better than using classical gradient techniques. In addition, we showed that the Repetitive Stochastic Guesstimation (RSG) algorithm –invented by Charemza-is...
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The purpose of this paper is to present some results of our research in the field of inter-generational learning dynamics and knowledge transfer, with applications in universities. This topic is important because a university is by its own nature a nested knowledge organization, due to a...
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