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The results show knowledge workers who actively retrieved knowledge from the organization-created system that contains self-created content exhibited higher work efficiency.
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Our results show that when choosing an expert to retrieve knowledge from (knowledge retrieval), expertise seekers will assign greater importance to the person's level of expertise.
Furthermore, to support the framework, an IT documentation system is proposed that is capable of retrieving knowledge from the PCS and thus generating the product model.
The results also show they obtained gratifications from actively retrieving knowledge from a self-made system; however, due to the workers' biased perceptions toward that system, knowledge retrieval from a self-made system did not induce higher work efficiency.
These examples indicate that our method can be used to intuitively and effectively retrieve knowledge on nodes of interest from large and complicated networks.
We conducted case studies in two companies to study the efficiency and effectiveness of retrieving architectural knowledge from the different organisations of knowledge.
Therefore, it has become increasingly important, particularly in the life science domain, to retrieve useful knowledge from public literature databases and manage personal electronic literature libraries effectively [4].
We demonstrated that these data are needed to further improve the ability to retrieve biological knowledge from large-scale data such as microarrays, RNA-seq or (phospho-) proteomics.
This architecture suggests that pMTG and left IFG (BA 45/47) can act in concert to retrieve semantic knowledge from "meaning areas" in inferior temporal cortex when the automatic recovery of information is hindered.
Finding a progress variable such that all relevant species can be retrieved from knowledge of it is not always straightforward; especially for fuel mixtures composed of more than a single hydrocarbon, or for simpler fuels but under conditions where the global reaction progress is not continuous, as in the case of cool-flame ignition.
A category theory based knowledge acquisition and knowledge representation mechanism has been devised to retrieve and organize knowledge from various Geometrical Product Specifications (GPS) documents in surface texture.
Write better and faster with AI suggestions while staying true to your unique style.
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