Research on Tacit Knowledge Sharing of Enterprise R&D Team under Network Environment

DOI

10.2991/ncce-18.2018.109How to use a DOI?

Keywords

Tacit Knowledge; Euclidean Distance; TFIDF; Pattern Recognition.

Abstract

For enterprises, restricted by various factors, tacit knowledge cannot be effectively explicit and utilized in enterprises, which is a great waste of knowledge. Therefore, extracting the characteristics of tacit knowledge and constructing corresponding enterprise tacit knowledge database can facilitate the sharing, communication and improvement among employees in the enterprise. In order to extract the tacit knowledge, this paper proposes a TFIDF recessive knowledge feature extraction method based on Euclidean distance calculation. After extracting the features from the traditional TFIDF method, the relationship between different features is taken into consideration, and the weight value is further optimized by Euclidean distance. After extracting the characteristics of tacit knowledge, this paper puts forward the method of constructing the tacit knowledge sharing system in the enterprise R & D Department of the pattern recognition. Through the pattern recognition method, it is convenient to improve the enterprise tacit knowledge database, which is of great significance for the enterprise employees to communicate with each other.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianhao Li
PY  - 2018/05
DA  - 2018/05
TI  - Research on Tacit Knowledge Sharing of Enterprise R&D Team under Network Environment
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 667
EP  - 670
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.109
DO  - 10.2991/ncce-18.2018.109
ID  - Li2018/05
ER  -