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dc.contributor.author
Liu, Zhuozhu
dc.contributor.author
Zhao, Rongying
dc.contributor.author
Wang, Junling
dc.contributor.author
Hu, Yuxin
dc.contributor.author
Li, Yiran
dc.contributor.editor
Zhang, Yudong
dc.date.accessioned
2022-05-31T06:28:41Z
dc.date.available
2022-03-26T04:44:09Z
dc.date.available
2022-05-31T06:28:41Z
dc.date.issued
2021
dc.identifier.isbn
978-1-5106-5028-2
en_US
dc.identifier.isbn
978-1-5106-5027-5
en_US
dc.identifier.issn
0277-786X
dc.identifier.other
10.1117/12.2612191
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/539455
dc.description.abstract
This paper reconsiders the knowledge conversion theory proposed by Ikujiro Nonaka, pointing out the inconformity between theory and practice in the original theory when knowledge conversion is based on the theoretical basis and the actual situation, that is, socialization or combination can not be realized directly, but can only be realized indirectly through the combination of internalization and externalization. On this basis, the model is improved, and the spatial vector model of knowledge conversion is proposed. The SECI model is innovated, which provides theoretical support for the subsequent research on knowledge conversion. Through the establishment of knowledge conversion model in the spatial vector coordinate system, the specific transformation mode between explicit knowledge and tacit knowledge is embodied, and the inner conversion mode of combination and socialization is refined that there are two direct ways of knowledge conversion, namely externalization and internalization.
en_US
dc.language.iso
en
en_US
dc.publisher
SPIE
en_US
dc.subject
Knowledge Conversion
en_US
dc.subject
Tacit Knowledge
en_US
dc.subject
Explicit Knowledge
en_US
dc.subject
Space Vector Model of Knowledge Conversion
en_US
dc.title
Theoretical Research and Improvement of Knowledge Conversion
en_US
dc.type
Conference Paper
dc.date.published
2021-11-11
ethz.book.title
2021 International Conference on Image, Video Processing, and Artificial Intelligence
en_US
ethz.journal.title
Proceedings of SPIE
ethz.journal.volume
12076
en_US
ethz.journal.abbreviated
Proc. SPIE Int. Soc. Opt. Eng.
ethz.pages.start
1207615
en_US
ethz.size
6 p.
en_US
ethz.event
4th International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021)
en_US
ethz.event.location
Shanghai, China
en_US
ethz.event.date
August 28-29, 2021
en_US
ethz.identifier.wos
ethz.publication.place
Bellingham, WA
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2022-03-26T04:44:24Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-05-31T06:28:48Z
ethz.rosetta.lastUpdated
2022-05-31T06:28:48Z
ethz.rosetta.versionExported
true
ethz.COinS
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