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Yuxin Hu

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Proceedings Article | 11 November 2021 Open Access

Theoretical research and improvement of knowledge conversion (Withdrawal Notice)

Rongying Zhao, Zhuozhu Liu, Junling Wang, Yuxin Hu, Yiran Li

Proceedings Volume 12076, 1207615 (2021) https://doi.org/10.1117/12.2612191

KEYWORDS: Knowledge management, 3D modeling, Vector spaces, Transform theory

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This paper reconsiders the SECI model proposed by Ikujiro Nonaka, and points out the inconformity between theory and practice in the original model 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 combinatorial and socialized is refined. Through the study of knowledge conversion model, this paper holds that there are two direct ways of knowledge conversion, namely externalization and internalization.

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