Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

Research on Military Nuclear Safety Knowledge Management Mode Based on Big Data

Authors
Biao Li1, Chongzhe Shan2, Ming Guo1, *, Fei Wu1
1College of Nuclear Science and Technology, Naval University of Engineering, Wuhan, Hubei, China
2Unit, Sanya, 91515, Hainan, China
*Corresponding author. Email: morpheusgwo@163.com
Corresponding Author
Ming Guo
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_44How to use a DOI?
Keywords
Knowledge Management; Big Data; Nuclear Safety; Management Mode
Abstract

Knowledge management and nuclear safety culture are naturally linked. Many institutions and scholars have done a lot of research on nuclear safety knowledge management. However, under the condition of big data, military nuclear safety knowledge management still faces many challenges. Through literature review and case analysis, combined with the development of big data technology and knowledge management, the military nuclear safety knowledge management model based on big data can be built from the aspects of big data collection and storage, data mining and knowledge discovery, knowledge exchange and sharing, continuous improvement of management means, evaluation and feedback, which can achieve a virtuous circle of military nuclear safety knowledge in the field or organization.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_44How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Biao Li
AU  - Chongzhe Shan
AU  - Ming Guo
AU  - Fei Wu
PY  - 2022
DA  - 2022/12/29
TI  - Research on Military Nuclear Safety Knowledge Management Mode Based on Big Data
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 407
EP  - 415
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_44
DO  - 10.2991/978-94-6463-102-9_44
ID  - Li2022
ER  -