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2020 | OriginalPaper | Buchkapitel

A Fuzzy Decision Making Method for Preventing the Loss of Knowledge in Nuclear Organizations

verfasst von : Jaqueline Vianna, Paulo V. R. Carvalho, Carlos A. N. Cosenza, Claudio H. S. Grecco

Erschienen in: Advances in Safety Management and Human Performance

Verlag: Springer International Publishing

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Abstract

Appropriate technical expertise and experience, along with a strong safety culture, must be developed and kept available throughout the nuclear technology life cycle. For organizations using nuclear technology, the ability to take safe decisions and actions can be affected by knowledge gaps or knowledge loss. For preventing the loss of knowledge in nuclear organizations, it is important to identify the barriers or critical factors that affect the success of the knowledge management (KM) process. From the perspective of the nuclear organizations, no systematic structure exists on characterizing a set of critical success factors (CSFs) for KM. Furthermore, there are no appropriate models that can satisfactorily assess the CSFs and fully solve the subjectivity of KM assessment. In this context, this work presents a fuzzy decision making method for preventing the loss of knowledge in nuclear organizations using CSFs able to identify the barriers that affect the KM.

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Metadaten
Titel
A Fuzzy Decision Making Method for Preventing the Loss of Knowledge in Nuclear Organizations
verfasst von
Jaqueline Vianna
Paulo V. R. Carvalho
Carlos A. N. Cosenza
Claudio H. S. Grecco
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-50946-0_23